Scientist Jobs in Okemos, MI

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it. Job Description/Preferred Qualifications In this role: Main responsibilities will be performing electromagnetic simulations and developing next-generation solvers. Candidate must be able to work within a small team environment, work with outside contractors, consultants. Provide effective presentation and written evaluations to internal customers to show capabilities of the product concept. Interface with customers to understand the requirement of their needs. Feedback on product performance and market gaps back to the marketing and engineering teams. This candidate must work closely with other internal development programs within KLA. Qualifications: Doctorate (Academic) in the physical sciences or engineering. Strong background in applied mathematics and electromagnetics. Proficient in numerical simulations, preferably in computational electromagnetics. Strong background in computer programming, especially in performance profiling, memory optimization, and parallel computing. Proficient in C++ especially in writing production-quality, object-oriented code. Experience in semiconductors (electrical properties, manufacturing, and metrology) is a plus. Ability and willingness to travel worldwide to support projects at customer sites is a plus. Minimum Qualifications Doctorate (Academic) Degree Base Pay Range: $100,000.00 - $170,000.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ************************** or at *************** to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ************************** to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **Role Description:** The Data Analyst will be responsible for creating ad hoc analyses and reports that interpret and analyze data trends for all teams at Oak Street Health. This role will handle all data requests and provide data reports to assist in programmatic decisions. The data analyst will also assist in determining future analyses and metrics and the development of meaningful performance indicators. The scope of this role will focus on medical economics and finance related data requests and analysis along with special projects. **Core Responsibilities:** + Identify, analyze, and interpret trends or patterns in complex data sets + Prepares and disseminates analysis reports, and presentations to various audiences both internal and external + Collaborates with internal program staff around all evaluation and analysis activities + Handles all data requests and special analyses for internal and external partners + Assists in developing actionable metrics to quantify the impact of programming + Establishes relationships with internal and external partners to obtain and validate quality data + Assists in creating uniform business rules that will be used in all ad-hoc analyses + Other duties as assigned. **What are we looking for?** We're looking for a motivated data analyst with: + Undergraduate degree, preferably in Computer Science, Business or Analytics + 2 or more years of relevant work experience + Proficient in writing SQL queries and stored procedures on large data sets with complex data models + Advanced Microsoft Excel skills (PowerPivot, functions, VBA) + Data management experience; knowledgeable in database rules, writing queries, and relational database creation and management (create, query, relate) + An analytical mind and inclination for problem-solving + Ability to manage deadlines and deliverables and communicate them to business owners + Ability to communicate clearly to stakeholders + Business process understanding + US work authorization + Someone who embodies being "Oaky" **What does being "Oaky" look like?** + Radiating positive energy + Assuming good intentions + Creating an unmatched patient experience + Driving clinical excellence + Taking ownership and delivering results + Being relentlessly determined **Why Oak Street Health?** Oak Street Health is on a mission to "Rebuild healthcare as it should be'', providing personalized primary care for older adults on Medicare, with the goal of keeping patients healthy and living life to the fullest. Our innovative care model is centered right in our patient's communities, and focused on the quality of care over volume of services. We're an organization on the move! With over 150 locations and an ambitious growth trajectory, Oak Street Health is attracting and cultivating team members who embody "Oaky" values and passion for our mission. **Oak Street Health Benefits:** + Mission-focused career impacting change and measurably improving health outcomes for medicare patients + Paid vacation, sick time, and investment/retirement 401K match options + Health insurance, vision, and dental benefits + Opportunities for leadership development and continuing education stipends + New centers and flexible work environments + Opportunities for high levels of responsibility and rapid advancement Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply. Learn more at *************************************************************************** **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $64,890.00 - $173,040.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 09/19/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

At Meta Reality Labs, we're developing the input technologies that will define the future of the virtual and augmented reality computing platforms. We are looking for a creative, skilled and motivated Research Scientist to join our machine perception team in advancing the state-of-the-art of human understanding, action recognition and statistical text decoding. You will work with research scientists, software engineers and hardware engineers to design technical solutions in a fast-paced multidisciplinary environment. **Required Skills:** AI Research Scientist - Computer Vision Responsibilities: 1. Contribute to and apply research that advances Meta products by developing novel input technologies for VR, MR and AR systems based on computer vision and machine learning. 2. Design and prototype interactive experiences and evaluate them through user research. 3. Design and prototype data collection systems to accelerate machine learning. 4. Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.). **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 6. PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning and/or computer vision. 7. Proven experience in designing data collection protocols and quality control, manifested in solid contributions in constructing high quality computer vision and machine learning datasets. 8. Technical knowledge across a range of topics including machine learning, optimization, Bayesian statistics and state estimation. 9. Experience innovating or extending research ideas for new problem domains or for fitting new constraints. 10. Interpersonal experience: cross-group and cross-culture collaboration. **Preferred Qualifications:** Preferred Qualifications: 11. Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product. 12. Experience with joint hardware-software development and associated rapid prototyping. 13. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at AI conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NeurIPS, ICLR, ACL or similar. 14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub). **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Are you highly motivated, hard-working, and seeking to join a growth-focused environmental consulting & engineering firm? Are you looking for a company that will invest in your development and grow your professional skills? If so, consider a career with Apex. Powered by record sales, extraordinary client retention, strategic acquisitions, and an entrepreneurial spirit, Apex Companies is one of the fastest growing environmental consulting and engineering firms in the US. We take pride in keeping our clients happy and have earned numerous awards for project excellence. We continue to grow, and we want you to grow with us. Your Responsibilities as a Scientist 1: Collect soil, water, air, and/or building material samples. Gather, analyze, and interpret data. Input data into template reports. Actively develop your own career growth. Why you'll love working with us: Medical, dental and vision plan options. Company-paid life, short, and long-term disability insurance. 401k plan. Paid time-off and holidays. Cross-training and the ability to work on a variety of projects. Other perks and incentives. Working with the best and brightest in the industry. 1500+ employee national firm with 50+ locations across the US. What we're looking for: BS in Geology, Hydrogeology, Environmental Science, or other related field. 2-4 years of experience with environmental field sampling and data collection. Strong technical writing skills, the ability to successfully multi-task, safety awareness, and a good record and understanding of safe work practices. 40-hour HAZWOPER certification. Light construction experience/hands-on skills a plus. Experience with data management and report preparation. Ability to edit Phase I and II ESAs is preferred. Valid driver's license, good driving history and reliable transportation are required. Strong communication skills Proficiency with Microsoft Office suite. Apex Job Title: Scientist 1 Apex Companies, LLC is an Affirmative Action/Equal Opportunity Employer. We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact ****************** or **************. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career's sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.

The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal Applied Scientist (IC4) to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. We're looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. You'll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly - we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. What we offer + Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. + High visibility to senior leadership, as well as technical leaders and partners. + Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. + Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. + Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders' growing expectations. What You'll Do + Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. + Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. + Stay up-to-date with the latest advancements in the field of generative AI. + Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. + Work directly with key customers and accompany them on their AI journey - understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. + Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. + Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. + Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. + Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. + Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications: + PhD, MS in computer science, engineering, mathematics or a field related to deep learning. + Strong knowledge of ML fundamentals - supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. + 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. + Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). + Hands-on experience with distributed training of large language models. + Strong development experience of deep learning modeling in Python. + Familiarity with the latest advancements in LLM and generative AI technologies. + Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. + Passionate about being a builder and working with talented peers to solve hard problems at scale. + Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. Preferred Skills + Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories + Industrial experience in system design, software development, and production deployment + Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. + First-hand experience with deep reinforcement learning + First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus + Familiarity with the latest advancements in computer vision and multimodal models is a plus + Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus. Career Level - IC4 **Responsibilities** Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner. Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Working/Functional Title Fundamental Symmetries Scientist Michigan State University operates FRIB as a user facility for the U.S. Department of Energy Office of Science (DOE-SC), supporting the mission of the DOE-SC Office of Nuclear Physics. As one of 28 DOE-SC user facilities, FRIB provides researchers with one of the most advanced tools of modern science to study rare isotopes, or short-lived nuclei not normally found on Earth. FRIB hosts what is designed to be the most powerful heavy-ion accelerator, enabling scientists to make discoveries about the properties of rare isotopes, nuclear astrophysics, fundamental interactions, and applications for society, including in medicine, homeland security, and industry. User facility operation is supported by the DOE-SC Office of Nuclear Physics. MSU's nuclear physics graduate program is a top-ranked program nationally, according to U.S. News & World Report . This position affords an exciting opportunity to become part of the world-class FRIB Laboratory that enables unique discovery opportunities in nuclear science. The major responsibilities of the position include the following: Prepare the fundamental symmetries experiments at the Laboratory Communicate and implement requirements for the fundamental symmetries experiments Verify experiments are within the specifications of the Laboratory Assist experimenters with the design, set-up, and carry out of the experiment Advise the experimenters as they prepare for experiments at the Laboratory Analyze their experiments Verify experiments run according to the approved plan, document experiences, and identify possible improvements Perform research and development projects to enhance the performance of fundamental symmetries experiments by Developing ion and neutral atom traps Developing cold atomic/molecular beam sources and Performing atomic/molecular spectroscopy Mentor and supervise a diverse group of students within an inclusive and equitable environment Perform scientific research related to fundamental symmetries using rare isotopes Publish results in scientific journals and make presentations at seminars and professional meetings Performs other duties as required or assigned, which are reasonably within the scope of the duties in this job classification Knowledge, Skills and Abilities Thorough knowledge of fundamental symmetries General knowledge of experimental setups and procedures in a laboratory environment Familiarity with safety protocols and regulations in a laboratory environment Knowledge of ion and neutral atom traps, cold atomic/molecular beam sources, and atomic molecular spectroscopy techniques Ability to implement and enforce laboratory standards and protocols Critical thinking and problem-solving abilities to troubleshoot experimental issues Knowledge and ability to program in C, python, Matlab, or equivalent Excellent communication skills to communicate effectively and credibly verbally and in writing with all audiences. Excellent project management and organizational skills Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Physics or Chemistry Minimum Requirements PhD in physics or chemistry in the area of experimental atomic, molecular, optical physics or nuclear science At least two years of postdoctoral experience by September 2024 At least three years of experience in the experimental fields of fundamental symmetries, precision measurements, and/or atomic/molecular/optical physics by September 2024 Demonstrated experience working with multi-institution collaborations Desired Qualifications Experience with lasers and optics Experience with atomic/molecular spectroscopy Experience with atomic/molecular beams Experience with laser cooling Experience with ion or neutral laser traps Experience with coordinating day-to-day activities on multiple projects Demonstrated familiarity with cryogenic engineering Demonstrated familiarity with microwave engineering Required Application Materials CV Cover Letter Contact information for three letter writers Special Instructions Questions related to the position can be directed to Sarah Powell (powells@frib.msu.edu) Review of Applications Begins On 06/27/2024 Website www.frib.msu.edu MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

SUMMARY: Daicel Arbor Biosciences is a global provider of genomics reagents and services. We are looking for a creative, highly motivated genomics scientist who can design, build, and test tools for current and emerging NGS-based technologies. This person will leverage their experience and deep familiarity with sequencing technologies to independently research and develop genomics tools and reagents. They will design, execute, analyze, interpret, and regularly report relevant results in both narrative and graphical forms to peers and supervisors. A successful candidate will manage scientific projects towards developing differentiated and competitive product and service portfolios. PRIMARY RESPONSIBILITIES: Duties and Responsibilities include the following. Other duties may be assigned. Plan, organize and conduct experiments in developing new products and services in the area of genomics. Develop and execute protocols for sample preparation, library generation, and sequencing on various NGS platforms. Analyze data, generate reports and present results in internal and external forums. Develop and manage project timelines and project reporting. Maintain comprehensive documentation of experiments, analysis and reporting Collaborate closely with laboratory and bioinformatics team members to ensure timely execution and interpretation of experiments. Coordinate activities between various internal departments (R&D, Manufacturing, Product Management) that are essential for development or improvement of products and services. Supervise and mentor junior team members. Train team members in the areas of genomics. Keep abreast of scientific literature and new technologies related to genomics and that may apply to Daicel Arbor Biosciences products and services. Report research activities at R&D meetings. Make presentations of experimental results and conclusions at internal and external meetings, scientific conferences, and tradeshows. May manage junior scientists, technicians, research associates, interns. ESSENTIAL SKILLS / EXPERIENCE: Three plus (3+) years of hands-on laboratory research experience in Life Science Industry. Experience with basic molecular biology laboratory techniques of nucleic acid purification, restriction digestion, cloning, PCR, qPCR, electrophoresis etc. Extensive experience with designing and troubleshooting protocols from sample prep to sequencing. NGS library preparation, sequencing, assay development using Illumina sequencing platforms. Proficiency in analyzing NGS experimental results and derive conclusions. Advanced data analysis skills utilizing tools such as JMP and Excel, comfort with programming languages like Python and R, and proficiency with bioinformatics tools and platforms. Ability to work independently and collaboratively in a fast-paced research lab. A proactive, solutions-oriented mindset and demonstrated success in collaborative and individual projects. Strong organization and communication skills. Ability to manage multiple priorities in a dynamic environment. DESIREABLE SKILLS / EXPERIENCE: Targeted sequencing using one or more technologies (hybrid capture, MIPs, multiplex amplification). Technical proficiency in long-read sequencing technologies (e.g., PacBio). Familiarity with genotyping, RNA-seq, methyl-seq, transcriptomics, single-cell genomics, epigenetics. Hands-on experience with workflow automation. Demonstrated leadership, mentorship, or training capabilities. Proven example of an inventive use or modification of existing assays to meet needs. Lead authorship of publications related to molecular tool development/applications. Natural curiosity and desire to embrace, learn, and apply emerging technologies as applicable. EDUCATION PhD in molecular biology, genetics, microbiology, biochemistry or a related field.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist As a Lead Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization. You will collaborate with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes. The ideal candidate will have strong analytical skills, a deep understanding of statistical techniques and machine learning algorithms, and the ability to effectively communicate complex findings to stakeholders. Essential Responsibilities Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets Apply mathematical and statistical techniques for spatial and temporal data Develop and implement advanced predictive models Build data visualization, dashboards, and reports for internal and external customers Write and optimize efficient, maintainable code, collaborating with cross-functional teams Skills and Abilities Strong analytical skills with the ability to manipulate and analyze large datasets Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders Strong problem-solving skills with a focus on validation and accuracy of results Proficiency in programming languages such as Python and frameworks like PySpark Ability to work independently and as part of a team Ability to mentor team members and contribute to culture of continuous learning and improvement Experience in developing and optimizing data pipelines and ensuring data quality Qualifications and Experience Required B.S, M.S. or PhD. Degree in Engineering, Data Science, Math, Statistics, or a related field 7+ years of experience in data science 2+ Experience with programming languages such as Python and frameworks such as Pyspark Experience working with large and complex datasets Experience working with databases, such as Postgres, MySQL, SQL Server Track record of writing optimized, scalable code Desirable Background in robotics or related field and understanding of temporal and spatial data concepts Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Lift up to 50 pounds Remote role based out of Ann Arbor, MI. Remote employees work primarily from home or an alternative work space. Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Salary Range$167,000—$190,000 USD Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate! Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave with immediate eligibility as well as a phased return to work. Flexible vacation policy in addition to 18 paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

Fortis partners with diagnostics and life sciences companies to design, validate, and manufacture solutions to solve their complex development problems. Fortis' tailored approach and end-to-end capabilities accelerate the work of its customers as they bring the next generation of medicines and diagnostics to market. Fortis serves a global customer base and has offices across the world including four R&D sites and three GMP and ISO 13485-compliant manufacturing facilities in North America. Empirical Bioscience, is a Fortis Life Sciences company, headquartered in Grand Rapids, Michigan, and is an ISO 13485 (2016) Certified, FDA-registered developer, and manufacturer of enzymes, proteins, and reagents for Molecular Biology and Life Science applications. Empirical focuses on supplying premium, quality, and custom-configured products to the Life Science industry for both research and commercial applications. Empirical Bioscience is seeking a Manufacturing Scientist for a full-time position at our facility in Grand Rapids, Michigan. Job Summary Manufacture products for customers and internal reagents for internal use following detailed protocol instructions under the direction of the Manufacturing Manager/Senior Manufacturing Scientist. Job Responsibilities Prepares products and internal reagents such as buffers, salt solutions, resuspensions, and master mixes using aseptic technique in an ISO/GMP environment. Overexpression and harvesting of pellets containing protein of interest using aseptic technique. Performs protein purification and cell culture while following detailed Standard Operating Procedures. Manually aliquot, cap, and label product kit components as needed. Recordkeeping of manufacturing documentation and general laboratory maintenance. Maintains glassware by picking up, cleaning, washing, sterilizing, and distributing. Maintains laboratory supplies available by inventorying stock and preparing supplies when needed. Updates job knowledge by participating in educational opportunities; has experience reading and interpreting technical publications and willing to further knowledge relating to the position. Assists in confirming new products as they are transferred into manufacturing by Tech Transfer. Shows a willingness to expand the parameters of this position and contribute to the increased productivity of the position. Follow the Manufacturing schedule and complete relevant SOP documentation. Performs multiple tasks daily with accuracy and thoroughness in a fast-paced, data-driven environment. Is attentive to detail with all measurements, calculations, equipment settings, and documentation. Assists project team in interpretation of results and troubleshooting, attends and participates in group and project meetings. Shows a willingness to expand the parameters of this position and contribute to the increased productivity of the position. Maintain a strict adherence to all safety procedures and show reasonable aptitude for recognizing potential safety challenges to themselves and others. Other work-related duties may be assigned by your manager as the business and work evolves. Required Education and Experience Bachelor's degree (B.S.) in a technical field of science (Biochemistry, CMB, Biology, Chemistry) plus a minimum 2 years of industry experience Knowledge/Skills/Abilities Experience with the use of laboratory equipment such as pipettes, micropipettes, pH meters, spectrophotometer, autoclaves, industrial dishwashers, centrifuge, and scale Minimum of 1-year experience in relevant laboratory techniques: Column chromatography, protein gel electrophoresis, bacterial cell culture, micro pipetting, DNA isolation, safe handling of chemicals, dilution and buffer calculation and preparation Mathematical skills General computer knowledge and excellence in Microsoft Office Excel and PowerPoint Good organizational skills and attention to detail Good verbal and written communication skills Good interpersonal skills Working knowledge of ISO 13485 and cGMP requirements preferred Must be able to maintain project deadlines to meet aggressive timelines. Willingness to be flexible and adaptable in a fast-paced environment. What We Offer We have an incredibly talented group of intelligent, down-to-earth individuals who are committed to developing and manufacturing only the highest quality products. Our mission: “Pursuing a Healthier World by Creating Tomorrow's Science Today” is complemented by our core values ( EXCITE ): Excellence - We believe in solving for root cause. No shortcuts, no “band-aids” Customer First - We prioritize the experience and outcomes of our customers above all. Integrity - We are honest and accountable, holding ourselves to a high standard of ethical conduct. Trust - We believe an engaged, empowered team begins with a foundation of trust. We trust our team members to make the right decisions and to be driven by and evaluated on results. Entrepreneurship - We encourage smart risk taking. We value novel mistakes in the pursuit of innovation. Fortis provides a competitive salary, success-sharing bonus plan, medical, dental, disability and life insurance, and a 401(k) plan. We are an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Element is currently hiring for a Principal Scientist to join our growing team in Ann Arbor, MI. Responsibilities Lead the development, validation, and transfer of advanced analytical methods for the quantification of Nitrosamine impurities and other contaminants (small molecules, NDSRIs) in drug products, including extractable and leachable (E&L) substances. Design and oversee complex experiments to identify and address the root causes of Nitrosamine impurity formation, ensuring scientifically rigorous methodologies are applied. Drive chemical extraction studies on container closure systems and drug products, focusing on E&L testing, while ensuring data integrity and accuracy. Apply advanced mass spectrometry techniques (LC-MS/MS, GC-MS/MS) to solve high-impact analytical challenges, and develop novel approaches for identifying and quantifying impurities. Take ownership of cross-disciplinary project management, leading teams to meet project goals, timelines, and regulatory requirements. Provide strategic guidance to ensure successful project delivery. Stay at the forefront of industry regulations and emerging trends, ensuring research, data collection, and reporting comply with global regulatory requirements. Provide expert insights and leadership in GxP regulations, playing a key role in ensuring the efficiency and compliance of the product registration process. Innovate and optimize analytical methodologies to meet both customer and project requirements, with an emphasis on ensuring robust E&L testing capabilities. Lead the generation of scientific reports and documentation, maintaining the highest standards in compliance with cGMP and regulatory requirements. Analyze complex data sets using both qualitative and statistical methods, deriving actionable insights and supporting conclusions with strong evidence. Exhibit exceptional problem-solving, troubleshooting, and analytical skills, guiding teams through challenges and continuously improving workflows. Champion safety protocols, leading by example in promoting laboratory safety practices, including the use of appropriate personal protective equipment (PPE). Oversee and maintain comprehensive laboratory documentation to ensure proper tracking and compliance with regulatory standards. Ensure adherence to relevant government regulations (FDA, cGMP, DEA, ICH, etc.), providing leadership in regulatory inspections and audits. Mentor and train junior scientists, providing technical leadership and fostering their professional growth. Perform other duties as assigned, bringing expertise and leadership to a range of scientific challenges. Collaborate with Business Development (BDs), Project Managers (PMs), and other stakeholders to ensure the timely delivery of projects to clients. Skills / Qualifications Ph.D. in Chemistry or a related field with extensive industrial experience; additional relevant experience in a leadership role is highly desirable. Proven expertise in a cGMP-compliant laboratory setting, with a strong background in method development, validation, and transfer. Extensive experience using advanced analytical techniques such as LC-MS/MS, GC-MS/MS for small molecule analysis, including Nitrosamines, E&L substances, and other impurities in both small and large molecule drug products. Expert-level proficiency in interpreting complex scientific data and drawing clear, actionable conclusions. Highly skilled in scientific writing, including preparing detailed regulatory documents, reports, and manuscripts for publication or internal use. Strong history of delivering impactful scientific presentations to both technical and non-technical stakeholders, including regulatory bodies and cross-functional teams. Exceptional project management skills, with a proven ability to lead cross-functional teams, prioritize tasks, and meet tight deadlines. Demonstrated leadership qualities, including the ability to guide, mentor, and develop teams of scientists in both technical and professional aspects. Excellent communication and interpersonal skills, with the ability to collaborate effectively across diverse teams and functions. Advanced problem-solving abilities, with a track record of delivering innovative solutions to complex scientific challenges. Ability to thrive in a fast-paced, high-pressure environment, while maintaining a focus on quality and compliance. Proficiency in Microsoft Office Suite, laboratory management software, and other analytical tools. A comprehensive understanding of the relevant regulatory frameworks (FDA, cGMP, ICH, DEA, etc.) and the ability to navigate these regulations effectively. #LI-TK1 Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today'. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization. Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming “the world's most trusted testing partner”. All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.

NSF is looking to hire Scientist II that have the ability to work well in a team environment. As a Scientist II you'll be responsible for performing analytical laboratory procedures and performing basic instrumentation maintenance and troubleshooting. 3:00pm-11:30pm but will qualify for a 2nd 10% shift premium. Responsibilities Perform routine tests using LCMSMS to support standard 60/61 including sample preparation, media preparation, sample processing, data entry, data analysis, data peer review, and data reporting Independently perform troubleshooting and maintenance of various LCMS instruments and methods in the water testing area. Collaborate and communicate effectively with team members in delivering data of results on time. Maintain a high level of productivity. Participate in the improvement of the existing methods, development, and validation of new methods for expanding the test capability to support business expansion. Provide a high level of data quality by keeping traceability records for equipment maintenance, non-conformance, method modification, and standard deviations. Engage in cross-functional discussions in failure resolutions and, prepare and provide supporting data for lab investigation and/or QA data review. Evaluate and develop laboratory processes, procedures and perform maintenance/selection of instrumentation Set a plan for training junior analysts to develop their judgment skills. #LI-CB1 Qualifications 4 years science degree. Minimum years of analytical lab experience: 5-8 years Hands-on experience in operating the LCMS instrument Good communication skills Ability to demonstrate NSF core values and ethics Ability to safely handle chemicals Knowledge of troubleshooting principles.

The Cooperative Institute for Great Lakes Research (CIGLR) seeks applications for a full-time Assistant Research Scientist in Atmospheric Science. In collaboration with the National Oceanic and Atmospheric Administration (NOAA) Great Lakes Environmental Research Laboratory (GLERL) and the School for Environment and Sustainability (SEAS), the successful candidate will lead CIGLR's portfolio of research in atmospheric science in the Great Lakes region. The successful candidate will lead research that requires integral approaches to water cycle predictions, ecosystem management, and climate research to support decision making in mitigation and adaptation strategies in the Great Lakes region. The candidate is expected to collaborate with diverse experts in the Great Lakes science community to advance model coupling with lake dynamics, understanding and modeling of boundary-layer processes (e.g., evapotranspiration, wind wave formation), and atmospheric microphysical processes (e.g., aerosol formation, snow characteristics). We are particularly interested in candidates who can lead research on predictions and projections for precipitation, runoff, water quality, ice cover, hazardous weather events such as lake-effect snowstorms, as well as advancing understanding of historical and future changes in the Great Lakes regional climate. The successful candidate will be appointed with CIGLR, which is part of the University of Michigan's School for Environment and Sustainability (SEAS), located in Ann Arbor, Michigan. CIGLR is a partnership between the University of Michigan and NOAA that brings together experts from academia and government research labs to work on pressing Great Lakes environmental challenges. The successful candidate will spend the majority of their time at the NOAA Great Lakes Environmental Research Laboratory (GLERL) in Ann Arbor and will collaborate closely with colleagues at CIGLR, GLERL, and SEAS and other Great Lakes partners. CIGLR Research Scientists serve as principal investigators and work closely with GLERL investigators to develop new NOAA-supported research projects, oversee execution of ongoing projects at the Institute, and secure project funding from other external sponsors. Hybrid and flexible work agreements may be made to allow for partial off-site work at a remote location. SEAS and CIGLR are committed to creating and maintaining an inclusive and equitable environment that respects diverse experiences, promotes generous listening and communications, and discourages and restoratively responds to acts of discrimination, harassment, or injustice. Our commitment to diversity, equity and inclusion is deeply rooted in our values for a sustainable and just society. Candidates must have a PhD and postdoctoral training in atmospheric science, climate science, or related fields. Candidates should also have the following: experience using state of the art atmospheric models (WRF, FV3, RegCM or similar), analyzing atmospheric model outputs, and conducting skill assessment. experience with analyses to understand atmospheric processes within a regional domain. This includes but is not limited to microphysical processes, boundary-layer processes, and climate change impacts on storm tracks, ice cover, and precipitation. experience with high performance computing systems (e.g., shell scripting, programming) and proficiency in FORTRAN, Python, R, or similar programming language. ability to effectively collaborate with diverse experts across UM and externally with federal partners. ability to effectively communicate, supervise and mentor employees and students, and provide scientific leadership of an interdisciplinary team. a strong record of publication (including first author publications)

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Team Culture Great things happen when people can bring their authentic selves to work. We empower all of our employees to share their perspectives, passions and experiences because collectively we make a better, stronger team. Our team members collaborate closely with peers & cross functional stakeholders throughout the business, our clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership. We take pride in our self-starter culture where employees are enabled and encouraged to achieve their professional goals through leadership guidance, learning and development. Our philosophy is that careers are continuous journeys, and we dedicate time and offer resources so that employees can reach their full potential. Benefits + Perks We value you at and outside of work and know your loved ones are important. Our benefits are designed to support you and your family's health through life's expected and unexpected events. Our Benefits Include: * Competitive Salary + Stock Options * Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending * Account (includes spouse + children) * Flexible Vacation Policy * Adaptable Working Schedule and Environment * Our Perks Include: * Casual Dress Attire * Hybrid work flexibility * Catered Lunches, Snacks and Beverages * Commuter Savings Program * Company Outings * Designated Volunteering Hours + Group Volunteer Events Sight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements. About Sight Machine, Inc. Sight Machine strengthens manufacturers by providing the industry's only standard data model and system-level visualization capabilities. By integrating all crucial data into a single innovative platform, everyone involved in the fabrication process can visualize, contextualize and examine data in one intuitive interface. Sight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner through continuously re-envisioning manufacturing processes - making them more efficient, sustainable and absolute. Founded in Michigan in 2011 and expanded to San Francisco in 2012, Sight Machine blends the spirit of technology innovation and the down to earth style of Detroit manufacturing. Our team includes early leadership from Yahoo, Tesla Motors and Oracle. Together, we share wide industry knowledge and a commitment to advance manufacturing to a more sustainable future. At Sight Machine, you will work with manufacturing leaders in the automotive, medical device, apparel, construction, and pharmaceutical industries. You will have access to, and work with massive amounts of factory floor data to help uncover insights on how customers make products and develop solutions to pressing business problems. The platform solves problems like Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, and security. We place great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate will have a passion for technology and a strong can-do attitude. About the Data Scientist Role As a Data Scientist, you will sift through massive amounts of factory floor data to uncover insights into how customers make products and develop solutions to pressing business problems for some of the world's most iconic manufacturers and technology providers, including industry leaders like Microsoft, Siemens, and Databricks. If you are interested in complex solution-finding, strong communication skills, and ever-deepening subject matter expertise in manufacturing, AI/ML, and cutting-edge technologies, please apply for this position. You will drive sustainability and game-changing results for global leaders in manufacturing and continuously develop your skills as a pioneer in the Data Era. Why Join Sight Machine's Services Team Our team is a hungry, humble, smart group of data architects, data scientists, data engineers, software developers, and customer engagement managers who work collaboratively to solve some of the most complex challenges facing our manufacturing customers. We are laser-focused on trusting and empowering each other, working to solve today's problems (while knowing tomorrow will bring a few more), and getting a little better every day. What You'll Do * Consult with customers to clarify business problems and understand requirements and shape solution design. * Perform analysis and modeling, selecting and wrangling appropriate data, develop visualizations and applications, and use storytelling to communicate your results. * Generalize specific customer solutions to develop future product additions in the Sight Machine platform. * Collaborate with engineering and product teams to add new features and contribute to the development of our data platform * Train customers on how to get the most out of their analytics * Support our sales teams during customer calls and provide the data science "point of view" on how we help customers gain insights from their factory floor data. * Perform exploratory research on the latest methodologies in data science and predictive analytics, ranging from researching which algorithms may be useful to apply to manufacturing analytics to diving into the latest research on big data architectures This position requires up to 20% domestic and international travel to client business and factory sites to meet with clients, drive conversations on data science and AI/ML, and participate in onsite strategy sessions. The frequency of travel will vary based on the client.

Title: Environmental Scientist Interviewing ASAP!! Hours: Hiring for first shift! Must be flexible to work Monday-Friday, 8:00am-5:00pm with OT Onsite role- MUST be willing to commute to Brighton, MI Must haves: * Bachelors in Environmental or Civil Engineering, Environmental Science, or Geology * 2 plus years of experience as an Environmental Scientist, Field Tech, Geologist, and/or Environmental Engineer * Fieldwork sampling experience, including doing site assessment (ESA) and remediation, subsurface drilling and soil boring descriptions/logging, monitoring well installation, groundwater sampling methods, soil sample collection for UST removal documentation, and accurate and complete documentation of activities performed * Understanding scope, schedule, and budget management * Current OSHA 40-hr HAZWOPER with current 8-hour refresher Pay and Benefits The pay range for this position is $25.00 - $31.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Brighton,MI. Application Deadline This position is anticipated to close on Apr 23, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. Diversity, Equity & Inclusion At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I are embedded into our culture through: * Hiring diverse talent * Maintaining an inclusive environment through persistent self-reflection * Building a culture of care, engagement, and recognition with clear outcomes * Ensuring growth opportunities for our people The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. Central Engineering is KLA's largest engineering organization comprised of 9 Centers-of-Excellence (CoE) in various disciplines applied across all product groups in the company. These CoE include Handling & Automation, Precision Motion Control, Sensors & Image Acquisition, Platform Design, and Packaging Engineering, among others. Talent includes over 500 engineers across global centers in Israel, China, India, and the US. Each CoE contributes not just talent and deliverables per discipline toward product programs, but also subject matter expertise, best practices, roadmaps, specialized facilities, apparatus, models, and analytics. These differentiate KLA not only in WHAT we do, but also in HOW we do it. Job Description/Preferred Qualifications In this role: Main responsibilities will be performing electromagnetic simulations and developing next-generation solvers. Candidate must be able to work within a small team environment, work with outside contractors, consultants. Provide effective presentation and written evaluations to internal customers to show capabilities of the product concept. Interface with customers to understand the requirement of their needs. Feedback on product performance and market gaps back to the marketing and engineering teams. This candidate must work closely with other internal development programs within KLA. Qualifications: Doctorate (Academic) in the physical sciences or engineering. Strong background in applied mathematics and electromagnetics. Proficient in numerical simulations, preferably in computational electromagnetics. Strong background in computer programming, especially in performance profiling, memory optimization, and parallel computing. Proficient in C++ especially in writing production-quality, object-oriented code. Experience in semiconductors (electrical properties, manufacturing, and metrology) is a plus. Ability and willingness to travel worldwide to support projects at customer sites is a plus. Minimum Qualifications Doctorate (Academic) Degree Base Pay Range: $100,000.00 - $170,000.00 AnnuallyPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ************************** or at *************** to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ************************** to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **Role Description:** The Data Analyst will be responsible for creating ad hoc analyses and reports that interpret and analyze data trends for all teams at Oak Street Health. This role will handle all data requests and provide data reports to assist in programmatic decisions. The data analyst will also assist in determining future analyses and metrics and the development of meaningful performance indicators. The scope of this role will focus on medical economics and finance related data requests and analysis along with special projects. **Core Responsibilities:** + Identify, analyze, and interpret trends or patterns in complex data sets + Prepares and disseminates analysis reports, and presentations to various audiences both internal and external + Collaborates with internal program staff around all evaluation and analysis activities + Handles all data requests and special analyses for internal and external partners + Assists in developing actionable metrics to quantify the impact of programming + Establishes relationships with internal and external partners to obtain and validate quality data + Assists in creating uniform business rules that will be used in all ad-hoc analyses + Other duties as assigned. **What are we looking for?** We're looking for a motivated data analyst with: + Undergraduate degree, preferably in Computer Science, Business or Analytics + 2 or more years of relevant work experience + Proficient in writing SQL queries and stored procedures on large data sets with complex data models + Advanced Microsoft Excel skills (PowerPivot, functions, VBA) + Data management experience; knowledgeable in database rules, writing queries, and relational database creation and management (create, query, relate) + An analytical mind and inclination for problem-solving + Ability to manage deadlines and deliverables and communicate them to business owners + Ability to communicate clearly to stakeholders + Business process understanding + US work authorization + Someone who embodies being "Oaky" **What does being "Oaky" look like?** + Radiating positive energy + Assuming good intentions + Creating an unmatched patient experience + Driving clinical excellence + Taking ownership and delivering results + Being relentlessly determined **Why Oak Street Health?** Oak Street Health is on a mission to "Rebuild healthcare as it should be'', providing personalized primary care for older adults on Medicare, with the goal of keeping patients healthy and living life to the fullest. Our innovative care model is centered right in our patient's communities, and focused on the quality of care over volume of services. We're an organization on the move! With over 150 locations and an ambitious growth trajectory, Oak Street Health is attracting and cultivating team members who embody "Oaky" values and passion for our mission. **Oak Street Health Benefits:** + Mission-focused career impacting change and measurably improving health outcomes for medicare patients + Paid vacation, sick time, and investment/retirement 401K match options + Health insurance, vision, and dental benefits + Opportunities for leadership development and continuing education stipends + New centers and flexible work environments + Opportunities for high levels of responsibility and rapid advancement Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply. Learn more at *************************************************************************** **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $64,890.00 - $173,040.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 09/30/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health Data Intelligence. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. As our Principal Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Career Level - IC4 **Responsibilities** **Responsibilities** + Collaborate with product managers to translate business and product requirements into AI projects. + Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. + Coordinate with multinational teams to drive projects from research POC to production. + Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. + Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. + Lead and mentor both junior and senior applied scientists. + Develop production code and advocate for the best coding and engineering practices. + Participate in project planning, review, and retrospective sessions. + Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. **Qualifications and Experience** + Demonstrated experience in designing and implementing scalable AI models for production. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. + Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. + Experienced leading senior scientists and early-career scientists. **Preferred Qualifications** + Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. **Education** + PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 5+ years relevant experience is preferred but not a must; OR + Masters or Bachelor's in related field with 5+ years relevant experience Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference! Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range: from $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.