Neuroscientist Jobs Near Me

Dive into the delicious world of food science! We're seeking a passionate Bakery Scientist to join our team in Cincinnati, Ohio. This is a contract role offering $52.90 per hour, with a convenient Monday-Friday, 8:00 AM-5:00 PM schedule. Ready to blend innovation with baking expertise? Send your resume to Jen and Melanie to learn more at rps@staffmanagement.com. Perks & Benefits Other on the spot perks Paid Training Weekly paychecks Direct Deposit or Cash Card pay options Medical / Dental Insurance $52.90 / Hour Employment Type & Shifts Full Time Temp to Hire Temporary or Contract 1st Shift Job Responsibilities Evaluate and recommend new processes, programs, equipment and technologies appropriate to Kroger manufacturing, distribution, quality assurance or retailing Lead internal and external teams as a subject matter expert to develop and improve new and existing product processes while containing costs and maintaining or improving product quality Oversee activities and projects with both internal manufacturing plants and external contracted manufacturers for food and non-food consumer products; follow regulatory and technological changes that may affect the food industry Provide leadership to manufacturing operations to troubleshoot product and/or processing problems and find solutions Work with plant teams in resolving differences in manufacturing processes between multiple operation locations that will improve the quality and costs of products and increase efficiencies Demonstrate excellence in project planning and execution through best use of resources to shorten the time to project completion Perform pilot plant development work and conduct plant trials of new products and processes Reformulate products as prudent to reduce ingredient and manufacturing costs while maintaining and/or improving product quality Provide technical assistance related to testing techniques and quality assurance procedures for plants Prepare and maintain material specification documents Audit plant batching operations and analyze consumer comments; audit products for quality and manage audit follow-up projects to improve quality Train and mentor Corporate Food Technology Product Development Specialists Work with Sensory Manager to organize and coordinate consumer panels Review product label proofs to ensure compliance with all labeling and claim regulations Travel as required for execution of essential job duties Qualifications: Bachelor's degree in food science, dairy science/bakery science or related field 5+ years progressive technical food industry experience Any experience in product development or plant production for complex/high-risk product categories Demonstrated excellence in project planning, problem solving and execution Excellent oral/written communication skills Desired Previous Job Experience/Education: 5+ years of experience in product development, technical service or plant production with multiple food and/or non-food categories Proven team leadership skills Associate Requirements Bachelors Background Check Drug Test Must be at least 18 years old The hourly rate for this position is anticipated between $52.90 - $52.90 per hour. This range is a good-faith estimate, based on the shift you work and other considerations permitted by law. An employee's pay history will not be a contributing factor where prohibited by local law. In addition to monetary compensation, we offer medical, dental, vision, life, and more. More details about benefits can be found at https://flimp.live/trueblueassociates#home. Staff Management | SMX is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, sexual orientation, age, gender identification, protected veteran status, or any other characteristic protected by law. We consider qualified applicants with arrest and conviction records in accordance with applicable law. Accommodations are available on request for candidates taking part in the selection process. If you require disability-related accommodation during the recruitment process, please contact your Recruiter or Employee Relations at HR-Advice@trueblue.com or 1-800-610-8920. TrueBlue, Inc. and its brands will consult with all applicants who request disability-related accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant's individual accessibility needs.

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. We are looking for Artificial Intelligence interns to work on our massive semi-structured text, graph and user activity data sets. This internship will specialize in Optimization. The role will focus on optimizing AI models and algorithms for performance and efficiency on GPU hardware, enabling LinkedIn to scale and enhance its machine learning applications. As part of this team, you'll work with deep learning frameworks and help drive innovation in high-performance AI systems. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2025 or later. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Our internship roles will be based in Mountain View, CA; or other US office locations. Our internships are 12 weeks in length and will have the option of two intern sessions: • May 27th, 2025 - August 15th, 2025 • June 16th, 2025 - September 5th, 2025 Responsibilities: • Optimize and accelerate machine learning algorithms and AI models using CUDA, ensuring efficient use of GPU hardware for high-performance computing. • Develop and fine-tune GPU-accelerated machine learning solutions that power LinkedIn's large-scale AI applications, including recommendations, personalization, and search. • Collaborate with engineering and AI research teams to implement CUDA optimizations in existing models, enhancing both training and inference speeds. • Conduct research on GPU optimization techniques and apply them to complex machine learning challenges, including deep learning architectures and large-scale data processing. • Stay updated with the latest developments in GPU computing, deep learning frameworks (e.g., TensorFlow, PyTorch), and parallel programming to continuously improve performance. • Work in a highly collaborative environment with mentors, business experts and technologists to conduct independent research and help deliver intuitive solutions to our products and services Basic Qualifications: • Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, with a focus on GPU optimization, or related technical field and returning to the program after the completion of the internship • Experience with CUDA programming, GPU architectures, and parallel computing techniques. • Experience in deep learning frameworks like TensorFlow, PyTorch, and familiarity with their GPU implementations. • Understanding of machine learning and AI algorithms, with hands-on experience in model training and optimization. Preferred Qualifications: • Experience in optimizing large-scale deep learning models for GPU environments, focusing on both training and inference phases. • Experience with NVIDIA GPUs, cu DNN, or other GPU libraries and tools. • Problem-solving skills and ability to work on complex AI optimization challenges in a fast- paced environment. • Publication record in high-performance computing, GPU optimization, or related AI/ML conferences (e.g., NeurIPS, ICML, SC). • Hands-on experience with deploying and scaling GPU-accelerated models in production. • Experience in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Excellent communication skills Suggested Skills: • Machine Learning and Deep Learning • Advanced Data Mining • Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 - $70 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

We are looking for a biotech research scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert understanding of biotechnology- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Molecular Biology, Genetics, Biochemistry, Microbiology, Bioinformatics, Public Health, Epidemiology, Pharmacology, Agricultural Science, Environmental Science, Chemical Engineering. Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which projects you want to work on * You can work on your own schedule * Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work Responsibilities: * Give AI chatbots diverse and complex problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology, inductive/deductive reasoning, physical/temporal/ spatial reasoning, and research methods * A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. #INDUSBIO Job Types: Full-time, Part-time Pay: From $40.00 per hour Expected hours: 1 - 40 per week Location: * Scottsdale, AZ (Required) Work Location: Remote

Staff Machine Learning Research Scientist Primer exists to make the world a safer place. We do this by providing trusted decision-ready AI to the world's most critical organizations. Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high. Primer has offices in San Francisco, Pasadena, CA, and Arlington, VA. For more information, please visit primer.ai. As a Staff Machine Learning Research Scientist, you will work on some of the deepest problems in machine learning. You will publish papers, attend conferences, and file patents. But you will also ship code right into the products used every day. We call it applied research, and you will be one of the leaders, taking part in a thriving team of engineers whose backgrounds span computer science to particle physics. You will be constantly learning and mentoring, keeping Primer at the leading edge of the most important technology today. Roles and Responsibilities - How You Will Make an Impact Track and understand the machine learning research landscape Help us make the strategic technology investments that ensure Primer's leadership in the space Design, lead, and review experimental work Collaborate and influence cross-functional teams to drive our technology roadmap Lead and mentor data scientists to help them grow Improve and promote best practices across the company and motivate others to follow your high standard Relevant Skills and Experience Graduate degree in computer science or related field 5+ years in machine learning with a focus on machine learning research Demonstrated track record of publications and/or open source projects Hands-on experience with machine learning and NLP tools and libraries from Numpy to PyTorch Curiosity, enthusiasm, and a love for teaching and learning Location This role will consider applicants out of San Francisco, CA, or Washington, DC. Compensation The annual cash compensation range for this position is US$225,000 to US$250,000. Final compensation will be determined based on experience and skills and may vary from the range listed above. Government Compliance Primer works closely with the U.S. defense and intelligence establishment. Any offer of employment is conditioned on an applicant or employee being able to meet any applicable government contract requirements. The company may rescind any offer of employment to an applicant or terminate an employee if the applicant or employee is unable to perform the functions of the position in compliance with applicable government contracts or if an applicant or employee makes a false attestation of compliance. What We Offer We are a series D funded company with investors from Addition, USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others. We are intentional about building a diverse and inclusive team of subject matter experts to better advocate for the needs of our users. We care a lot about our work and about the well-being of our team. We encourage everyone to work at a sustainable pace and have a flexible vacation policy for team members to utilize, Wellness Days, and 100% paid leave for parents of growing families. We offer competitive compensation and comprehensive benefits. This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Headspace Care+, Gympass+ Membership via Wellhub, One Medical Membership, 401(k), remote work stipends, and monthly internet allowance. Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you need assistance or accommodation due to a disability, you may contact us at ***************. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

Primer exists to make the world a safer place. We do this by providing trusted decision-ready AI to the world's most critical organizations. Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high. Primer has offices in San Francisco, Pasadena, CA, and Arlington, VA. For more information, please visit primer.ai. As a Staff Machine Learning Research Scientist, you will work on some of the deepest problems in machine learning. You will publish papers, attend conferences, and file patents. But you will also ship code right into the products used every day. We call it applied research, and you will be one of the leaders, taking part in a thriving team of engineers whose backgrounds span computer science to particle physics. You will be constantly learning and mentoring, keeping Primer at the leading edge of the most important technology today. Roles and Responsibilities - How You Will Make an Impact Track and understand the machine learning research landscape Help us make the strategic technology investments that ensure Primer's leadership in the space Design, lead, and review experimental work Collaborate and influence cross-functional teams to drive our technology roadmap Lead and mentor data scientists to help them grow Improve and promote best practices across the company and motivate others to follow your high standard Relevant Skills and Experience Graduate degree in computer science or related field 5+ years in machine learning with a focus on machine learning research Demonstrated track record of publications and/or open source projects Hands-on experience with machine learning and NLP tools and libraries from Numpy to PyTorch Curiosity, enthusiasm, and a love for teaching and learning Compensation and Employment Conditions The annual cash compensation range for this position is US$180,000 to US$250,000. Final compensation will be determined based on experience and skills and may vary from the range listed above. This role will consider applicants out of San Francisco, CA or Washington, DC. Primer works closely with the U.S. defense and intelligence establishment. Any offer of employment is conditioned on an applicant or employee being able to meet any applicable government contract requirements. What We Offer We are a series D funded company with investors from Addition, USIT, Lux Capital, Amplify Partners, Addition Capital, Bloomberg Beta, and others. We are intentional about building a diverse and inclusive team of subject matter experts to better advocate for the needs of our users. We care a lot about our work and the well-being of our team. We encourage everyone to work at a sustainable pace and have a flexible vacation policy for team members to utilize, Wellness Days, and 100% paid leave for parents of growing families. We offer competitive compensation and comprehensive benefits. This includes full medical, dental, and vision coverage, fertility benefits through Carrot, mental health coverage on demand with Headspace Care+, Gympass+ Membership via Wellhub, One Medical Membership, 401(k), remote work stipends, and monthly internet allowance. Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you need assistance or accommodation due to a disability, you may contact us at ***************. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Resume/CV * LinkedIn Profile Website Are you legally authorized to work in the United States? * Select... Will you now or in future require sponsorship for employment visa status (e.g., H-1B, F-1, or TN visa status)? * Select... Do you have a U.S. Security Clearance? * #J-18808-Ljbffr

About Outlier Outlier is the world's leading expert platform, connecting a network of over 100,000 contributors worldwide to improve AI models by providing expert human feedback. We partner with companies including OpenAI, Meta and Microsoft to enable advanced generative AI models to provide accurate responses and advanced reasoning capabilities. We are looking for advanced Biology experts to teach AI how to interpret and solve complex problems by: Evaluate AI-generated content for factual accuracy and relevance in Biology Develop and answer Biology-related questions to refine AI understanding. Assess and rank AI responses based on scientific rigor. Required expertise and qualifications: Education: Master's degree or higher (PhD preferred) in Biology or a related field (can be currently enrolled) Research Experience: Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions English Proficiency: Ability to read and write with minimal errors Bonus Skills: AI model training experience is not required but helpful Payment: Currently, pay rates for core project work by Biology experts range from $30 to $50 per hour USD but varies based on your geographic location (see note below) Opportunities for higher-paying research projects based on performance. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

“Exciting Cyber Opportunities Await You!” Are you ready to dive into the thrilling world of cybersecurity? For nearly two decades, the Advanced Concepts Laboratory (ACL) has been at the forefront of innovation, crafting cutting-edge cyber solutions for the Department of Defense (DoD) and Intelligence Community (IC). Our mission: to empower our nation's heroes with game-changing Information Operations (IO) and Computer Network Operations (CNO) technologies that tackle some of the toughest challenges head-on. Cyber is an ever-changing domain, and at ACL, we're the revolutionaries leading the charge. We're a passionate, problem-solving team that thrives on tackling the most complex, enigmatic issues. If you revel in the thrill of finding solutions when the path isn't clear, if the idea of creating groundbreaking operational capabilities excites you, and if you thrive in an open, collaborative environment, we want to hear from you! Our quest for cyber excellence requires a diverse range of skills and expertise. Whether you're fueled by a passion for Firmware or Kernel-level development, relish crafting OS/Network/Application designs, specialize in vulnerability and malware analysis, or excel in Reverse Engineering, IO, and CNO technology development, we encourage you to explore the possibilities of joining our ever-expanding team. If you possess strong software development prowess in C, C++, and Python, are well-versed in debuggers like gdb, Valgrind, windbg, have a deep understanding of network protocols and inter-process communication, and have a knack for executing guided research tasks, we're eager to uncover your potential on this extraordinary journey. What's In It For You From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Once selected to join our team, you'll have the privilege of becoming a vital member of our world-class team, composed of applied researchers and engineers who contribute to projects that redefine the cutting edge of customer and internally funded R&D. Join us, and together, we'll shape the future of cyber innovation! All ACL team members are eligible for participation in a Lockheed Martin Incentive Plan. Basic Qualifications Bachelor's degree in technical fields of study such as Computer Science, Computer Engineering, Electrical Engineering, or Computer Security, with 2 or more years of relevant applied experience. Prospective team members for this job posting must have skills in: - Demonstrated skills in user-space or kernel-space development - C, C++, Python software development - Networking protocols and socket application development - Debugging (e.g gdb, windbg, OllyDbg, Valgrind) - Self-directed technical research explorations US Citizenship is required for this role, as is the ability and willingness to obtain and maintain a Top Secret Security Clearance. Team members are subject to a government security investigation and must meet and maintain eligibility requirements for access to classified information. Desired skills Developing cyber capabilities requires a broad spectrum of experience. While we do not anticipate that everyone will have skill and expertise in all related technical areas, we do desire that team mates have some experience in one or more of the areas listed below. If you do not have experience in these areas, you will be assessed for your ability to develop these skills: - Applied research skills - Embedded systems development - Compiler Design and Implementation - IDS and PSP Design and Implementation - Static and dynamic reverse engineering on x86/x86_64, MIPS, ARM, or PowerPC - Vulnerability Analysis of source code or binaries - Machine-learning/Artificial Intelligence - Cyber/IO/CNO R&D If you have demonstrated a passion for cyber technologies, are self-motivation, and adept at research and prototype development, you will excel as a part of our team. As a part of our team, you can anticipate authoring technical portions of proposals, presenting results and demonstrating prototypes to your teammates and program customers. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. * At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Other Important Information By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to work remotely Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedule Information Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Security Clearance Information This position requires a government security clearance, you must be a US Citizen for consideration.

Who is Recruiting from Scratch: Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. https://www.recruitingfromscratch.com/ About Us: Our product is doing for LLMs what Google did for websites. In the early internet, the number of websites was exploding and it was hard to figure out what website you should use for what task. Google fixed that problem by building a search engine that aggregated websites across the internet. A similar problem exists in AI today; the number of models is exploding and it's hard to figure out what model you should use for what task. Our product fixes that problem through a model router: You give us your prompt, we run it on the best model in real time. We can do this because we've learned how to predict the performance of a model without running it. That lets us find a model which can complete your request with the highest performance and lowest cost. The value proposition is simple: stop worrying about AI, start focusing on product. That idea -- making it so that people can stop worrying about AI -- is the core of what we do. Model-routing is just the first tool we're building to help understand the way in which models behave. By pioneering techniques like this, we want to solve the most fundamental problem in AI: understanding why models behave the way they do, and creating guarantees they'll behave the way we want. About the role: As a research scientist with Martian, you will develop new techniques to understand how AI models work. This work will focus on exploring and improving a technique we call “model mapping”: converting transformers into more interpretable representations (such as programs). We are looking for people who can develop and scale up methods for making transformers more interpretable through model mapping and then understanding the transformers in the new domain we map to. Responsibilities may include: Designing experiments to measure the effectiveness of model mapping techniques Studying models and how they can be turned into programs Managing and exploring large datasets from interpretability experiments Investigating the internal operations of large language models Designing novel approaches for understanding how large language models work AI Research Content Development Produce in-depth technical content on model interpretability and LLM routing Write research papers for top AI conferences and journals Create detailed blog posts explaining complex AI concepts Technical Community Engagement Participate in technical discussions with AI researchers on social media Represent Martian's technical perspective in AI forums and conferences Develop and maintain relationships with key technical influencers in AI You'll thrive in this role if you: Are excited about Martian's mission to understand AI and build better AI tooling Want to discover the algorithms underlying intelligence and are motivated to spend your career exploring how models work Enjoy a fast-paced startup environment Have experience implementing ML algorithms (e.g. pytorch) and distributed training (e.g. pytorch lightning, deepspeed) Enjoy writing clean code and thinking about programming languages Have an interest in Mechanistic Interpretability What We Offer: Competitive salary ($200-300k+) and equity packages Health, dental, and vision insurance plans Unlimited PTO Daily lunch Team dinners https://www.recruitingfromscratch.com/

Role As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML R&D for SmarterDx and establish shared infrastructure to accelerate research efforts across the team. What You'll Do Invent and deploy state-of-the-art machine learning algorithms Share insights and breakthroughs through publications in top-tier conferences, journals, blog posts, and other mediums to showcase your work Survey and share relevant AI/ML research and emerging technologies within the company to help others stay abreast of important trends Establish and own an ambitious research agenda with regular milestones Frequently present your work internally and solicit feedback from other machine learning research scientists, data scientists, engineers, and clinicians Provide constructive feedback to other ML research scientists on the team Collaborate cross-functionally with clinical, engineering, and product teams to understand key needs and prioritize research accordingly Work in a fast-paced and rewarding environment that demands high quality work with minimal supervision Collaborate cross-functionally with engineering to assist in configuring the correct infrastructure for training and inference Collaborate cross-functionally with engineering, data engineering, data analytics and data science to evaluate models in production, troubleshoot and update models based on real world results What You Bring Deep “under-the-hood” understanding of modern neural network architectures and distributed training. You can explain the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, tensor parallelism vs pipeline parallelism vs data parallelism, gloo vs mpi vs nccl, CUDA, Triton, etc. Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc. Ability to create high-quality machine learning research, as demonstrated through first-author publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, ar Xiv) Understanding of recent and relevant AI/ML research trends and ability to quickly assess the quality of published ML research Ability and desire to translate research into production Ability to communicate clearly, as evidenced by blog posts, conference talks, published research papers, etc. Nice To Haves Ph.D. (or Master's degree with 3+ years experience) in Computer Science, Biomedical Informatics, Mathematics, Electrical Engineering, or a related field with an AI/ML focus Our Tech Stack Python PyTorch Sagemaker Snowflake Compensation $200-220k base salary + equity Benefits Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan. One Medical Membership - Free membership included if you enroll in a SmarterDx medical plan. Paid Parental Leave - Up to 12 weeks of paid leave for birth or adoption. Remote-First Team - Work from anywhere in the U.S. with a $400 home office reimbursement stipend. Unlimited PTO & 10 Holidays - 4 of which include floating holidays so you can recognize the days that matter most to you. Learning & Development Budget - $500 per year (prorated) for courses, books, and resources to expand your skills. 401(k) with Traditional & Roth Options - Tax-advantaged retirement savings through Empower. Minimal Bureaucracy - A fast-moving, high-impact environment where you can focus on what matters. Incredible Teammates! - Work alongside smart, supportive, and mission-driven colleagues.

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. SandboxAQ's AI Simulation team develops new drugs and materials using a spectrum of AI and physics-based computational solutions. We are seeking an experienced and innovative Bioinformatics / Knowledge Graphs Researcher to amplify our ability to reason causally about biological systems, based on multimodal inputs from a variety of inputs, including simulation. The successful candidate will show strong ability in computational biology, including knowledge of cutting-edge machine learning techniques, particularly involving large graph data structures such as knowledge graphs. They will have experience creating maintainable software (Python) to those ends. These skills will be leveraged within a seasoned, agile, and multi-disciplinary group, including drug hunters with an excellent track record in drug discovery, computational chemists, physicists, AI experts, and software engineers. Key responsibilities: * Create and implement simulation methods to augment knowledge graphs * Contribute to ongoing research towards applications of the above, including for biomarker ID and toxicity prediction. * Present and communicate your ideas to an interdisciplinary team, including clients, other scientists, and non-technical team members. * Invent new methods for patents and white journal articles and whitepapers. Present your work and ideas at conferences and in pitch meetings. * Work to improve human health on a social scale. Help make better drugs and diagnostics, and make the tools to do so. Basic qualifications: * PhD in a relevant field (biophysics, computational chemistry or similar). * At least 4+ years experience developing and applying biophysical simulation techniques to generate actionable insights * 2+ years professional experience in software engineering or scientific software development * Strong Python skills to develop simulation methods or add features to existing software both independently and with a team (version control, unit tests, code review) * Track record of innovation in simulation methods and physics based property prediction Preferred qualifications: * Interest in and knowledge of AI-based molecular methods * Experience with Julia and/or C++ * Experience with OpenMM and small molecule libraries (RDKit, OpenFF, DeepChem or other) * Willingness to travel less than 15% to conferences, offsites, customers, and internal meetings. The US base salary range for this full-time position is expected to be $150k - $210k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity. SandboxAQ welcomes all. We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can't go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology. We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. SandboxAQ's AI Simulation team develops new drugs and materials using a spectrum of AI and physics-based computational solutions. We are seeking an experienced and innovative Bioinformatics / Knowledge Graphs Researcher to amplify our ability to reason causally about biological systems, based on multimodal inputs from a variety of inputs, including simulation. The successful candidate will show strong ability in computational biology, including knowledge of cutting-edge machine learning techniques, particularly involving large graph data structures such as knowledge graphs. They will have experience creating maintainable software (Python) to those ends. These skills will be leveraged within a seasoned, agile, and multi-disciplinary group, including drug hunters with an excellent track record in drug discovery, computational chemists, physicists, AI experts, and software engineers. Key responsibilities: Create and implement simulation methods to augment knowledge graphs Contribute to ongoing research towards applications of the above, including for biomarker ID and toxicity prediction. Present and communicate your ideas to an interdisciplinary team, including clients, other scientists, and non-technical team members. Invent new methods for patents and white journal articles and whitepapers. Present your work and ideas at conferences and in pitch meetings. Work to improve human health on a social scale. Help make better drugs and diagnostics, and make the tools to do so. Basic qualifications: PhD in a relevant field (biophysics, computational chemistry or similar). At least 4+ years experience developing and applying biophysical simulation techniques to generate actionable insights 2+ years professional experience in software engineering or scientific software development Strong Python skills to develop simulation methods or add features to existing software both independently and with a team (version control, unit tests, code review) Track record of innovation in simulation methods and physics based property prediction Preferred qualifications: Interest in and knowledge of AI-based molecular methods Experience with Julia and/or C++ Experience with OpenMM and small molecule libraries (RDKit, OpenFF, DeepChem or other) Willingness to travel less than 15% to conferences, offsites, customers, and internal meetings. The US base salary range for this full-time position is expected to be $150k - $210k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity. SandboxAQ welcomes all. We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can't go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology. We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

About the Opportunity: We are looking for a Research Scientist to join our team and drive research and development efforts for our News Platform and systems that evaluate the quality of documents and detect misinformation. From your first day, you will make a valuable - and valued - contribution. We are a fast-growing company where no one is a bystander. We offer you the opportunity to delight millions of consumers around the world while gaining meaningful experience across a variety of disciplines. Duties and Responsibilities: Partner with product managers, machine learning scientists and engineers to formalize appropriate research questions that are relevant to our News Platform. Conduct independent research, perform extensive literature reviews, sort through prior published work to find potential solutions. Design experiments and lead data collection efforts. Work with substantial amounts of text data and leverage statistical and machine learning methods. Communicate and transfer solutions to production together with scientists and engineers. Communicate ideas, methods, opportunities, and results to cross functional partners. Skills and Qualifications: Graduate degree (PhD preferred) in Computer Science, Linguistics, Statistics, Computational Social Sciences, or other quantitative fields. 3+ years of professional experience or equivalent experience in a research lab. Recent PhD graduates are especially encouraged. Broad experience with various applications of NLP (part-of-speech tagging, dependency parsing, entity recognition and extraction etc.) Broad experience in machine learning and statistical methods, in at least one of the following areas: experimental design, causal inference, machine learning, reinforcement learning, deep learning. End-to-end experience in research projects, including study design, simulation/testing, data cleaning, data analysis, and reporting. Proficient with Python or R. Experience with Spark, PySpark. Exceptional written, verbal, and visual communication. The following experience is a plus: Experience in the news domain (fact checking, detecting misinformation etc.) and knowledge of journalistic principles highly desired. Experience in computational journalism is highly desired. Publication track record is a big plus! The US base salary range for this role is between $180,000 and $220,000 annualized plus bonus, equity value (where applicable) and benefits. Your base pay will depend on your experience, location, skills and qualifications. About the Company: Seekr is a privately held artificial intelligence company that identifies, rates, and generates reliable content at scale. Seekr's trusted and responsible AI platform comprehensively and uniformly evaluates each piece of content individually against objective, transparent, and explainable standards. Seekr is committed to building a web that people can trust. Our environment is fast paced, requiring the ability to work autonomously, and hands on from day one, with minimal supervision in an ever-changing environment. You will need to demonstrate excellent problem-solving skills. The right mix of organizational and communication skills will be the key to success. Attention to detail and a proven ability to manage priorities are also essential. We are looking for people ready to lead by example, be selfless in your leadership across teams, collaborate with your peers, and partner with colleagues and external partners. Company Benefits: Working with a smart and talented team to solve the big misinformation problems in news we currently face Exciting and cutting-edge technologies at scale 100% remote position - work from where you like Highly competitive salary Company investment in training, certifications, and your professional development Company Bonus Plan Employee Equity Program 401k Retirement plan with matching Medical, Dental and Vision Insurance for you and your family Life Insurance / Disability Unlimited PTO 13 Paid Holidays Employee Assistance Program

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We're looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we'd had to solve to get these results.Some of our team's notable publications include A Mathematical Framework for Transformer Circuits, In-context Learning and Induction Heads, and Toy Models of Superposition. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread, Multimodal Neurons, Activation Atlases, and Building Blocks. We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition, Superposition, Memorization, and Double Descent, and our May 2023 update), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our recent work finding millions of features on Sonnet, one of our production language models, represents progress in this direction. This is a stepping stone towards our overall goal of mechanistically understanding neural networks. We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic's models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining. If you would be especially excited to work on a project that touches upon the intersection of Interpretability and another team, feel free to note down the specific team(s) you'd be interested in collaborating with. Responsibilities: Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights Design and run robust experiments, both quickly in toy scenarios and at scale in large models Build infrastructure for running experiments and visualizing results Work with colleagues to communicate results internally and publicly You may be a good fit if you: Have a strong track record of scientific research (in any field), and have done some work on Interpretability Enjoy team science - working collaboratively to make big discoveries Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null Familiarity with Python is required for this role. Role Specific Location Policy: This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The expected salary range for this position is: Annual Salary:$315,000—$560,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Join Our Dynamic HEOR Team as a Research Scientist! Are you passionate about economic studies that improve healthcare outcomes worldwide? Our Value Demonstration and Economic Modeling team is seeking a Research Scientist to join our group of industry-leading professionals. You'll contribute to economic modeling projects that demonstrate and communicate the value of new interventions for our pharma and biotech clients. Why Join Us? Innovative Culture: Experience the excitement of a start-up within a well-funded, established global organization. Passionate Team: Work with a team that has a real passion for Health Economics and Outcomes Research (HEOR) and prides itself on being visionary leaders in the field. Growth Opportunities: Be part of a growing team that values collaboration and making a real difference in healthcare. About You: Experienced Consultant: You have a background in health economics and outcomes research, with a solid understanding of the pharmaceutical industry and medical affairs. Literature Review Skills: You can independently review clinical and economic literature to support the design and parameterization of economic models, including cost-effectiveness, budget impact, and cost-consequence models. Effective Communicator: You can interpret and communicate study results to both technical and non-technical stakeholders. Research Expertise: You assist in developing health economic models and research studies, selecting appropriate designs, data sources, and methodologies. Project Leadership: You can lead individual project tasks with oversight from senior staff, including model conceptualization, protocol development, analysis plans, model building, technical reports, and slide development. Technical Proficiency: You support project deliverables using tools like Excel, with experience in R, SAS, or STATA being a plus. Project Management: You perform basic project management functions, ensuring projects progress smoothly by managing timelines, client communications, scheduling, and note-taking. Required Experience: 1-3+ years of Consulting experience serving Biotech, Pharmaceutical or Healthcare clients. Master's degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health Ability to work effectively individually and as part of a diverse team Awareness and understanding of financial performance on projects Ability to line-manage and mentor direct reports and to ensure positive staff wellbeing/team dynamic Helpful Experience: PhD in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health Previous exposure to and understanding of comparative effectiveness, cost-effectiveness, and economic modeling studies. Willingness and desire to learn and share knowledge Excellent oral and written communication skills Track record of relevant peer-reviewed publications Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.Reasonable estimate of the current range$84,000—$117,000 USD Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. © 2020 Precision Medicine Group, LLC If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at **************************************. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

The Behavioral Research Scientist I is responsible for the collaborative development, implementation, and evaluation of whole-person, behavioral health research studies. Acting as Principal Investigator and/or Sub-Investigator, with mentorship as needed, the Behavioral Research Scientist I will oversee study design and protocol implementation, ensure regulatory compliance, recruit study participants, analyze data, and disseminate findings through peer-reviewed publications. This role involves navigating operational logistics, providing consultations on study feasibility, administering and scoring psycho-diagnostic and neuropsychological assessments, and maintaining respectful relationships with all stakeholders. Essential Skills + Specialized knowledge of the unique needs of populations being studied, including individuals with cognitive and behavioral impairments and psychiatric conditions + Must offer professional bedside manner, dependability, reputability, reliability, and strong interpersonal skills Requirements + Experience in administering, recording, and scoring psycho-diagnostic and neuropsychological tests + Experience working with geriatric patient populations + Master's degree in healthcare, clinical psychology, social work, or related field + Minimum of 1 peer-reviewed publication as first, last, or corresponding author within the last 12 months Work Environment This role will work 4 days onsite at a Neuro Institute, with the option to work from home one day per week. Pay and Benefits The pay range for this position is $80000.00 - $110000.00/yr. Benefits from Day One Paid Days Off from Day One Student Loan Repayment Program Career Development Whole Person Wellbeing Resources Mental Health Resources and Support Pet Insurance* Debt-free Education* (Certifications and Degrees without out-of-pocket tuition expense) Workplace Type This is a fully onsite position in Orlando,FL. Application Deadline This position is anticipated to close on Mar 26, 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 (%20actalentaccommodation@actalentservices.com) for other accommodation options.

Perform cancer surveillance and epidemiologic research, maintain registry-based data tools, develop and monitor registry-related policies and procedures, contribute to funding applications, analyze data and disseminate research findings, conduct assessments of patterns and trends of cancer in Iowa, mentor students in practicums and research projects, oversee the data request process and fulfill data requests, and collaborate with researchers outside of the Registry on research endeavors. Key Areas of Responsibility Data/Research Analysis and Evaluation Develop new data analysis techniques or methodology. Perform advanced data analysis techniques. Work independently on complex research tasks. Critically review literature to further the research and develop new hypotheses with other investigators. Responsible for maintaining and implementing the policies and procedures related to Iowa Cancer Registry data requests and data release. Assist with the education of faculty and staff on Registry data and analytic approaches. Seek opportunities to enhance one's own professional knowledge, skills, and abilities as they relate to one's current position and/or to prepare for potential future roles and overall career development. Attend training meetings and classes and review reading material to augment study design and analysis skills. Dissemination of Research Results Prepare and submit first-author manuscripts for publication. Represent the research group at professional meetings. Develop a recognized national reputation in the scientific community. Develop a sustained record of scholarly publications and peer-reviewed principal-author scientific publications. Participate in public outreach activities. Create and disseminate reports of Iowa cancer trends. Research Proposals/Grants Develop an established record of participation and leadership in successfully funded research grants or contract proposals. Certify compliance with all University, state, and federal regulations when required. Assume responsibility for all aspects of a research project or contract, including budget, expenditures, and agency reporting. Participate in determining research priorities and planning programs of research. Write research proposals to obtain funding as PI or co-PI. Serve as a PI and co-PI on grants or contract proposals. Service Seek leadership opportunities in professional organizations related to cancer surveillance and/or cancer control and epidemiology (e.g., NAACCR, ICC). Review papers and proposals. Develop a reputation and recognition within the scientific community. Demonstrate stature in discipline with substantial publications and professional contributions. Human Resources/Supervision Mentor graduate or professional students. May provide functional and/or administrative supervision for staff. Assist staff with definition and solution of problems. May perform the following supervisory functions including interviewing, selection, training, coaching and counseling to ensure outcomes are achieved, performance evaluation, salary determination, promotion, and disciplinary action. Benefits Highlights: Regular salaried position. Hybird work available. Fringe benefit package including paid vacation; sick leave; health, dental, life and disability insurance options; and generous employer contributions into retirement plans. For more information about Why Iowa? Click here. Why Iowa City? Click here. Education Requirement A person in this classification has the academic knowledge of a discipline generally associated with a Doctoral degree in Epidemiology, Public Health, Biostatistics or an equivalent professional degree, i.e., M.D., D.D.S., or D.V.M. Experience Required Typically, 3 years of experience or knowledge performing the following: Cancer surveillance or epidemiologic research Data management and analysis experience with SAS, R, or STATA Ability to write and prepare reports Demonstrated publication record with at least 2 first-authored publications within the past 3 years Experience completing human subjects (IRB) new project and continuing review/modification Demonstrated experience with development and presentation of posters/presentations of research findings. Professional experience working effectively with individuals from a variety of backgrounds and perspectives. Desirable Qualifications Data visualization expertise, preferably with Tableau Evidence of effective public relations activities Experience using SEER*Stat Application Details: To be considered for an interview, applicants must upload a resume and cover letter and mark them as a “Relevant File” to the submission. Job openings are posted for a minimum of 14 calendar days and may be removed from posting and filled any time after the original posting period has ended. Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification. Up to five professional references will be requested at a later step in the recruitment process. This position is eligible for hybrid work within Iowa and will require a work arrangement form to be completed upon the start of your employment. Per policy, work arrangements will be reviewed annually, and must comply with the remote work program and related policies and employee travel policy when working at a remote location. Additional Information: Classification Title: Research Scientist

Research Scientist II (LLM Evaluation Expert - Domain: Chemistry) Job ID: 25-07919 100% Remote Pay rate range - $45/hr. to $48/hr. on W2 Must Have Advanced degree (Ph.D. preferred) in Chemistry or a closely related field Extensive experience (5+ years) in Chemistry research, problem-solving, or applied Chemistry across multiple subfields Previous experience working with or evaluating AI systems, particularly in the context of mathematical problem-solving : Company Overview: Artificial General Intelligence (AGI) Data Services is at the forefront of AI innovation, specializing in the development and refinement of large language models (LLMs). Our mission is to create AI systems that can understand and generate high-quality code, revolutionizing the software development landscape. Job Description: As an LLM Evaluation Expert specializing in Chemistry, you will play a crucial role in assessing and improving our language models' Chemistry capabilities. Your expertise will be instrumental in evaluating LLM-generated Chemistry solutions, making high-level judgments, and setting the standard for what constitutes excellent AI-assisted Chemistry problem-solving. Key Responsibilities: * Critically analyze and evaluate Chemistry responses generated by our LLMs across various fields of Chemistry * Exercise expert judgment to select the most appropriate and efficient Chemistry solutions from multiple LLM-generated options * Make informed decisions on behalf of our customers, ensuring that selected solutions meet rigorous Chemistry standards, are logically sound, and address specific research or application needs * Develop and write Chemistry demonstrations to illustrate "what good looks like" in AI-generated solutions, setting benchmarks for accuracy, elegance, and insight * Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output of Chemistry concepts * Collaborate with the AI research team to identify areas for improvement in the LLM's reasoning and problem-solving capabilities * Stay abreast with the latest developments in Chemistry and AI to ensure our evaluations remain cutting-edge * Using your expertise, to provide step-by-step solutions and explanations to complex problems in Chemistry. This includes inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Required Qualifications: * Advanced degree (Ph.D. preferred) in Chemistry or a closely related field * Extensive experience (5+ years) in Chemistry research, problem-solving, or applied Chemistry across multiple subfields * Demonstrated ability to critically evaluate Chemistry proofs, solutions, and reasoning for correctness, efficiency, and elegance * Strong analytical and decision-making skills, with the ability to make complex judgments in abstract and theoretical contexts * Excellent written and verbal communication skills, with the ability to explain complex Chemistry concepts clearly * Experience in technical writing, particularly in creating mathematical proofs, explanations, or tutorials Preferred Qualifications: * Previous experience working with or evaluating AI systems, particularly in the context of mathematical problem-solving * Familiarity with computer algebra systems, numerical computing environments, and mathematical software packages * Understanding of machine learning concepts, particularly as they apply to mathematical reasoning and problem-solving * Experience in creating or contributing to Chemistry textbooks, research papers, or educational content. This role requires a unique blend of Chemistry expertise, critical thinking, and communication skills. You will be the bridge between advanced AI technology and practical, real-world applications in Chemistry. Your work will directly influence the development of next-generation AI Chemistry assistants, potentially transforming fields such as scientific computing, data analysis, and Chemistry research. If you're passionate about Chemistry, have a keen eye for elegant solutions, and are excited about the potential of AI in advancing the understanding of Biology we encourage you to apply for this pivotal role at AGI Data Services. * Job details *

See yourself at Dataminr As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices. At Dataminr, we are over 600 talented individuals, spanning seven global offices, united by our passion to use AI for the greater good and be agents of positive change in our company and in our communities. We offer a competitive benefits package aimed at keeping you healthy and happy: Comprehensive medical, dental and vision insurance plan options for employees, domestic partners and their dependents Generous PTO, flexible sick days and remote working options Paid parental leave and family forming benefits Mental health benefits and support Company equity (RSUs) At Dataminr, we serve a global community made up of many cultures and strive to reflect the diversity of the world in which we live. We stand for social justice and we lead with empathy. We foster a culture of allyship, standing up for those who face systemic barriers to equality. We actively condemn racism and discrimination in any form. We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, learning and development funds, and more. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Productionize and ship research into Dataminr's products, and thus to its users worldwide. Senior candidates are expected to lead technical areas and/or people. What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Ph.D. in Computer Science or related field Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus. Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships). #LI-Remote #LI-BM About Dataminr Dataminr is a mission-driven AI company that delivers real-time information from 1M+ public data sources, empowering organizations to respond to critical events and emerging risks before they unfold. Founded as an AI company in 2009, Dataminr has the history and tenure in artificial intelligence, and has developed pioneering technology that is redefining the future of real-time information. Recognized as one of the world's leading AI businesses, recently, Dataminr launched ReGenAI, the first generative AI that automatically regenerates in real-time. Most recently valued at $4.1B, our technology is leveraged by more than two-thirds of the Fortune 50 and half of the Fortune 100 companies who all rely on our AI because we do something that others cannot do. Watch our CEO Ted Bailey, discuss the Future of Real-Time Information, the breadth of customers who trust Dataminr, and our proprietary ReGenAI technology here. At Dataminr, we are creating a team of talented builders, creators and visionaries to have a real-world impact on how organizations are able to respond to events. We operate all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of client charged with the responsibility to keep organizations running and keep people safe. The annual base salary range for this position is $148,240 - $218,000. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.

Metallurgical & Materials Engineering Applications received by March 11, 2025 will be guaranteed full review and consideration. Applications received after that date may be considered until an adequate applicant pool has been established. Montana Technological University provides a comprehensive benefits package for all eligible positions that includes health, dental and vision insurance, mandatory retirement plan with employer contribution, partial tuition waiver, and a wellness program. Duties: Independently and simultaneously manage multiple multi-million-dollar research projects; and ensure timely attainment of project milestones and objectives within schedule and budget constraints Author proposals to secure external funding and support long-term research initiatives. Prepare reports, deliverables, and presentations for funding agencies and collaborators Serve as a research advisor, committee member, and mentor for graduate students Supervise and mentor junior faculty members and post-docs; offer guidance on research strategies, project management, proposal writing, and professional development Required Qualifications: Ph.D. in Metallurgical and Materials Engineering, Materials Science, or a closely related field Proven ability to secure external funding Experience mentoring graduate and undergraduate student research. Experience supervising and mentoring junior faculty and research staff. Strong organizational and communication skills with a commitment to personal accountability. Documented evidence of excellent written communication skills including materials-related publications in high-impact journals and presentations at professional conferences. Preferred Qualifications: Experience in administering multi-million-dollar project budgets. Direct experience in conducting research funded by major Federal Government entities such as the Department of Defense, Department of Energy, and National Science Foundation. An outstanding record of service contributions, including outreach and recruitment activities. Physical Demands Must have a valid driver's license, be able to lift 50 lbs, walk and stand for long periods of time. Must be able to function effectively in laboratory or pilot plant environments while wearing personal protective equipment including respirators (fit testing may be required), steel-toed shoes, hard hats, safety glasses or goggles, hearing protection, fire retardant suits, and other PPE as designated by the safety officer and/or project manager. For full consideration application materials must be complete. Please include: Cover letter addressing qualifications, Resume Contact information for 3 professional references. For full consideration application materials must be complete. Any offer of employment is contingent upon a satisfactory criminal background check. Montana Tech is committed to providing a working and learning environment free from discrimination. As such, the University does not discriminate in the admission, access to or conduct of its educational programs and activities nor in its employment policies and practices on the basis of race, color, religion, national origin, ethnicity, creed, service in the uniformed services (as defined in state and federal law), veteran status, gender, age, political beliefs, marital or family status, pregnancy, physical or mental disability, genetic information, gender identity, gender expression, or sexual orientation or preference. In support of the University's mission to be inclusive and diverse, applications from qualified minorities, women, veterans and persons with disabilities are highly encouraged. Montana Tech makes accommodation for any known disability that may interfere with an applicant's ability to compete in the hiring process or an employee's ability to perform the duties of the job. In compliance with the Montana Veteran's Employment Preference Act, Montana Tech provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran's preference please complete the employment (veteran's) preference form located on the employment page and email to ************************. You must include the job title of the position in which you are applying. Employment (veteran's) preference form To request an accommodation for the application or interview, please contact Cathy Isakson ************; ****************** Why Work at Tech? Help meet the changing needs of society by providing a transformative student experience by helping develop leaders for tomorrow by advancing science, engineering and technology. In addition, Montana Tech offers an attractive benefits package* which includes: Medical, Dental, and Vision Insurance with low deductibles and comprehensive coverage. Generous employer contribution toward monthly health care benefits worth $6.08 per hour. 5.9% retirement employer contribution for eligible employees 11 Holidays per year 3 weeks of Annual Leave to start Generous sick leave policy that can be used for sick children, doctor and dentist appointments as well as bereavement. 6 credits of coursework free per year (fees not included) Life and Disability Insurance Reduced tuition for dependents after 4 months of employment for eligible employees Employee Assistance and a Wellness Program Optional Retirement Plan for eligible employees Possible remote work days with supervisor approval and eligible positions. * Benefits are dependent on position type and terms and conditions of eligibility. Montana Technological University, Butte Montana, is nestled in the Heart of the Rocky Mountains along the Continental Divide, where I-15 and I-90 intersect. We are home to the largest National Historic District in the country. Montana Tech is a special focus institution with a reputation for excellence and value. Montana Tech is ranked #1 in the nation by CollegeNET.