Scientist Jobs in Wyckoff, NJ

Locations: Boston | Chicago | Pittsburgh | Washington | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills TECHNOLOGIES:Programming Languages: Python #LI-DNI#BCGXjob Additional info FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is:Data Scientist I: $110,000 USD Data Scientist II: $145,000 USDData Scientist III: $160,000 USD Senior Data Scientist: $190,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis *Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

We are building a world class systematic data platform which will power the next generation of our systematic portfolio engines. The systematic data group is looking for a Data Scientist to join our growing team. The team consists of content specialists, data scientists, analysts and engineers who are responsible for discovering, maintaining and analyzing sources of alpha for our portfolio managers. This is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets. Principal Responsibilities Research potential alpha sources, and present to portfolio managers and quantitative analysts Utilize and maintain world-class data processing and transformation engines Build technology tools to acquire and tag datasets Engage with vendors, brokers to understand characteristics of datasets Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximize their profitability Analyze datasets to generate key descriptive statistics Qualifications/Skills Required Ph.D. or Masters in computer science, mathematics, statistics or other field requiring quantitative analysis 3 + years of financial industry experience preferred Programming expertise in Python, C++, Java or C# Programming skills in SQL, PL-SQL or T-SQL Strong problem-solving skills Strong communication skills

Job Title: Scientist - II Duration: 12 Months Qualifications: Education/Work Experience Minimum Qualifications: • B.S./M.S in Mechanical Engineering, Biomedical Engineering, Industrial & Systems Engineering, Chemistry, Analytical Chemistry, Pharmaceutical Sciences, or a related field/discipline with 2-4 years of relevant work experience in the pharmaceutical, biotechnology, or medical device industries Required Experience | Knowledge | Skills: • Good Manufacturing Practices (cGMP) laboratory environment in large molecules (vaccines, biologics) with knowledge in container closure integrity methods. • Relevant analytical execution, development, validation, and/or quality control (QC) for container closure integrity as it pertains to small molecule, biologics, and vaccine products. • Ability to learn new techniques, troubleshooting assays, author and review technical documents • Excellent organizational skills to manage multiple projects Preferred Experience | Knowledge | Skills: • Hands-on experience in CCIT method development, validation, and troubleshooting for injectable therapeutics. • Candidate should be familiar with the following CCIT technologies for this purpose: dye ingress, high voltage leak detection, vacuum and pressure decay, laser headspace analysis • Familiarity with compression/tensile testing (Instron, Zwick, Texture Analyzer), rheology (TA Instrument), metrology/non-destructive inspection (XRCT [Zeiss], Optical microscopy [Keyence], high-speed imaging) • Good technical, communication (oral and written), interpersonal, and teamwork skills. • Ability to effectively identify and communicate risks. Note: • 100% lab based role. • Buzz words: CCI, Container closure integrity, Vacuum decay, dye ingress, helium leak, laser headspace analysis, CO2 ingress, mass extraction, container validation, device verification, GMP, GXP, method development, method validation, USP , instron, medical device, tensile testing, auto-injectors, syringes, on-body injectors. • Container Closure Integrity Testing: Closure integrity (CCI) is crucial for drug product sterility and stability. Container Closure Integrity Testing (CCIT), commonly referred to as leak detection, is a non-destructive packaging inspection system to maintain an aseptic barrier against potential contaminants. Job Description: Our company's Device Product & Process Development (DPPD) Team focuses on the design, development, and commercialization of novel biologic/drug/vaccine-device combination products for safe and effective delivery to their intended sites of action. The DPPD Team oversees the development of the device constituent within our pipeline of combination products, spanning various therapeutic areas and routes of administration, including inhalation, implantation, and injection. The DPPD within our Company Research Labs is seeking a talented, self-motivated, and highly collaborative Scientist with knowledge of container closure integrity (CCI) technology and experience with test method development, testing, and method validation for various product images (vials, syringes, cartridges, and injectors) and secondary packaging. • The candidate will develop methods for our company's combination product pipeline, inclusive of small molecule, biologics, and vaccine products. Principal Responsibilities: • Develop, validate, and execute feasibility CCI studies for complex combination devices & delivery systems • Author technical reports and testing protocols • Review technical data to ensure compliance with cGMP standards • Collaborate with cross-functional teams to ensure successful tech transfer of analytical methods between QC labs

The Equity Research Associate will assist in the research process, working closely with the firm's U.S. equity research analysts and portfolio managers in making investment recommendations. The Associate will also provide backup support to other areas of investment activities. Responsibilities Support Research Analysts identifying and formulating new investment ideas Updating/maintaining proprietary financial models Reading, analyzing and summarizing company earnings calls, SEC filings, and other pertinent information. Creating new financial models and maintaining comparable spreadsheets Participation in due diligence meetings Research in various industries and miscellaneous projects Review and prepare reports using markets data services and other analytical tools (e.g., FactSet, Bloomberg, etc.) Qualifications BA/BS Two to four years of equity research, investment banking, or accounting experience required CFA or progress towards this designation is a plus, but not required Must have a strong understanding of accounting and financial statements Must be self-motivated and able to work independently Knowledge of the Industrial and Consumer sectors is a plus (but not prerequisite) Professional demeanor and ability to work well in a fast-paced environment Ability to manage multiple tasks concurrently Proficiency in Microsoft Office and other analytical systems (e.g. FactSet, Bloomberg)

Glocomms has partnered with a global tech organization dedicated to transforming lives through spoken-word entertainment. They work with top creators to produce and share audio stories with millions of listeners worldwide. In this role, you will lead the core playback logic from start to finish, ensuring the best playback experience across Android, iOS, and Web platforms. This includes managing content delivery infrastructure, security, digital rights management, and real-time processing of listening data. You'll also spearhead initiatives to advance the state of the art in Internet Audio Team Overview Our data science team partners with marketing, content, product, and technology teams to solve challenges using advanced ML, DL, and NLP techniques. We operate in an agile environment, managing the lifecycle of research and model development. Responsibilities Optimize customer interactions with validated models Create data engineering pipelines Innovate with cutting-edge applications Develop data visualizations Collaborate with data scientists, ML experts, and engineers Share ideas and learn from the team Basic Qualifications Experience in modeling and research design MS in a quantitative field or PhD with relevant experience Proficiency in SQL and Python Experience with AWS and Big Data Engineering Agile Software Development experience Preferred Qualifications Expertise in paid and organic marketing Experience with container platforms and streaming data Proficiency in R, RShiny, and Scala

Job Title: R&D Scientist Contractor Duration: 08+ Months Contract/Possibility of extension Monday-Friday, 8AM-5PM Pay Rate : Negotiable Responsibilities: Title: R&D Scientist Contractor Position Location: Valhalla, NY Job Description: Research scientist for the Beverage Ingredient Science & Technology (S&T) -, Conducts and supports ingredient application programs to identify and validate new ingredient and formulation technologies that drive advantage across the global Beverage portfolio. Key Accountabilities: Support and drive technical evaluation of new ingredient and formulation technologies for the Beverage portfolio (Sports and Fitness, Hydration, and CSD). Conduct hands-on application assessment & testing at both the bench and in pilot plant leveraging experimental design. Supports interaction and linkage to key S&T programs between Beverage categories to ensure program alignment and technology transfer to Regional teams. Identifies and leverages external partners to source new ingredients and technologies. Assesses technology applicability in Beverage products and delivers proven solutions to product development teams. Support and work with technical program leaders to deliver technical solutions to improve the nutrition and performance of Beverage products, leveraging expertise in food physical chemistry and food ingredient functionality. Initiate and build SME network with global R&D peers to transfer & implement new technologies for global teams. Primary accountability will be focused on supporting and driving capability programs and application assessment - focused on functional ingredients and clean label preservatives ingredients that includes - model formula application, identify technical unlocks for beverage compatibility, shelf -stability validation and sensory assessment. Will work closely with S&T technical pillar team members in identifying holistic ingredient formulation solutions and transfer the same to product development for landing zone opportunities. Demonstrates technology applicability and potential, leveraging protocept development and presentations for technical and non-technical audiences Leverages strong partnerships with external and internal experts (analytical, sensory, academia) to resolve key technical challenges Performs basic economic evaluations on ingredients, ingredients suppliers, and product formulations to assess viability Participate as an active member of cross-functional teams comprised of individuals from a variety of disciplines, including Product Development, Regulatory, Legal, Marketing, Purchasing, Engineering and other groups. Qualifications: (Must include the Education/Professional Experience Required) BS/MS Food Science & Technology / Food Chemistry or related field 3-5 yrs of experience in the Food Industry or related area Proven expertise in utilization of scientific method and critical thinking to drive robust research programs and deliver results Understanding of food chemistry, carbohydrates, product formulation and development, ingredient technology, and food safety Functional knowledge of analytical test methodologies and data interpretation Ability to make significant technical scientific advances utilizing internal and/or external resources. Detail-oriented individual with proven ability to independently lead multiple projects and work streams simultaneously, leveraging project management tools. Self-starter with good oral and written communication and presentation skills, the ability to work with various personalities and work styles, Have technical curiosity and the ability to work effectively in cross-functional and global teams. Positive learner--highly creative individual with desire to gain and apply knowledge to new products/opportunities Ability to travel when needed

Job Title: Environmental Field Technician About Us: A leading international multidisciplinary engineering firm dedicated to delivering innovative solutions across various sectors is looking for a passionate Environmental Scientist. We value growth and seek driven candidates who are eager to make a significant impact. If you are looking to expand your career and work with a standout company, this is the place for you. Join us and enhance your professional journey with a team that supports and values your development. Job Responsibilities: Participate in regular field work, including evenings and weekends as required by project schedules. Assist in coordinating and executing field investigations by logging borings, collecting and managing samples, performing field tests, and recording field data. Observe remediation and construction activities, ensuring compliance with construction documents, remedial work plans, and health and safety plans. Identify and communicate any issues encountered on project sites to supervisors, implement solutions to both routine and complex field problems, and accurately document results. Prepare and manage standard logs and field forms documenting field investigations, including drilling logs, field investigation forms, chain of custody logs, and remedial activities (such as air monitoring data, daily reports, and maps). Conduct file reviews, site reconnaissance, and document searches. Assist with report preparation. Perform other duties as requested. Qualifications: Bachelor's degree in Environmental Engineering, Civil Engineering with an environmental concentration, Environmental Science, Geology, or a related field. 2 to 5 years of relevant work experience. Strong technical education, professional demeanor, and a desire to learn. Excellent written and verbal communication skills. Strong attention to detail with excellent analytical, multitasking, data management, and judgment capabilities. Ability to work effectively both independently and in a team environment. Willingness to spend the majority of work hours in the field. Experience in coordinating field investigations and oversight. Familiarity with relevant investigation and remediation regulations and programs. Valid driver's license in good standing and reliable transportation for access to remote job site locations. Ability to travel to job sites as needed. Availability to work overtime as required.

Center 1 (19052), United States of America, McLean, VirginiaPrincipal Associate, Data Scientist - Mainstreet Card Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description We are part of the Card Intelligence team, one of the biggest Data Science organizations at Capital One. Locally, we drive progress in our Mainstreet Card Acquisitions model ecosystem and pursue horizontal research beyond that. We strive to fundamentally improve outcomes for our business and customers through advances in our modeling and decisioning systems. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Title: - Scientific - Research Scientist Duration: - 12 + Months contract (Possible Extension) Pay Rate :- $27 hourly on W2 (All Inclusive) Job Description:- • Project Summary: Managing MFG chemical requests by maintaining inventory and disposing of waste. • Monitor chemical processes and test product quality to make sure that they meet standards and specifications. • Set up, operate, and maintain laboratory instruments and equipment. Maintain production equipment and troubleshoot problems. • Quarterly planning chemical for MFG and placing chemical orders for MFG and R&D. • Maintain inventory for receiving chemicals/outbound chemicals. • Fulfill orders for internal request of chemicals MFG, R&D and EGN. • Prepare chemicals as per MFG demand and customer orders. • Setting up, operating, and maintaining laboratory equipment and instruments. • Ensuring the proper functioning and calibration of equipment. • Testing chemicals, prepare documentations such proper SDS/Hazard labels. • Chemical waste management. • Following safety protocols and procedures to ensure a safe working environment. • Participating in safety programs and audits. • Properly handling and storing chemicals and hazardous materials. • - Top 3 Daily Responsibilities: o Maintain chemical inventory by properly login receiving/out-bound chemicals. o Prepare chemical orders for MFG and customer orders. o Waste management • - Additional Responsibilities o Monitor chemical processes and test product quality to make sure that they meet standards and specifications. o Set up, operate, and maintain laboratory instruments and equipment. Maintain production equipment and troubleshoot problems. o Quarterly planning chemical for MFG and placing chemical orders for MFG and R&D. o Maintain inventory for receiving chemicals/outbound chemicals. o Fulfill orders for internal request of chemicals MFG, R&D and EGN. o Prepare chemicals as per MFG demand and customer orders. Setting up, operating, and maintaining laboratory equipment and instruments. Ensuring the proper functioning and calibration of equipment. Testing chemicals, prepare documentations such proper SDS/Hazard labels. o Chemical waste management. Following safety protocols and procedures to ensure a safe working environment. Manage waste by timely transfer from tanks and satellite locations. Participating in safety programs and audits. Properly handling and storing chemicals and hazardous materials. • - Requirements (required skills, experience, qualifications). o Bachelors in chemistry with 0years experience or Associates with 2+years experience. o Familiar with handling broad range of chemicals for storage and disposing off. o Chemical inventory and placing orders. o Attention to details. • - Nice to Have (preferred skills, experience, qualifications). o Collaborating with different department o Team player Employee Benefits: At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits: Four options of medical Insurance Dental and Vision Insurance 401k Contributions Critical Illness Insurance Voluntary Permanent Life Insurance Accident Insurance Other Employee Perks About LanceSoft LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch. EEO Employer LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.

About the Company Our company's Device Product & Process Development (DPPD) Team focuses on the design, development, and commercialization of Client biologic/drug/vaccine-device combination products for safe and effective delivery to their intended sites of action. The DPPD Team oversees the development of the device constituent within our pipeline of combination products, spanning various therapeutic areas and routes of administration, including inhalation, implantation, and injection. About the Role The DPPD within our Company Research Labs is seeking a talented, self-motivated, and highly collaborative Scientist with knowledge of container closure integrity (CCI) technology and experience with test method development, testing, and method validation for various product images (vials, syringes, cartridges, and injectors). Responsibilities Develop, validate, and execute feasibility CCI studies for complex combination devices & delivery systems Author technical reports and testing protocols Review technical data to ensure compliance with cGMP standards Collaborate with cross-functional teams to ensure successful tech transfer of analytical methods between QC labs Qualifications Education/Work Experience Minimum Qualifications: B.S./M.S in Mechanical Engineering, Biomedical Engineering, Industrial & Systems Engineering, Chemistry, Analytical Chemistry, Pharmaceutical Sciences, or a related field/discipline with 2-4 years of relevant work experience in the pharmaceutical, biotechnology, or medical device industries Required Skills Good Manufacturing Practices (cGMP) laboratory environment in large molecules (vaccines, biologics) with knowledge in container closure integrity methods. Relevant analytical execution, development, validation, and/or quality control (QC) for container closure integrity as it pertains to small molecule, biologics, and vaccine products. Ability to learn new techniques, troubleshooting assays, author and review technical documents. Excellent organizational skills to manage multiple projects Preferred Skills Hands-on experience in CCIT method development, validation, and troubleshooting for injectable therapeutics. Candidate should be familiar with the following CCIT technologies for this purpose: dye ingress, high voltage leak detection, vacuum and pressure decay, laser headspace analysis. Familiarity with compression/tensile testing (Instron, Zwick, Texture Analyzer), rheology (TA Instrument), metrology/non-destructive inspection (XRCT [Zeiss], Optical microscopy [Keyence], high-speed imaging). Good technical, communication (oral and written), interpersonal, and teamwork skills. Ability to effectively identify and communicate risks. Pay range and compensation package Pay Rate: $53.45/hr on W2 without benefits

Note: We have a preference for candidates that are able to work out of NYC or SF for this role! About Patronus AI Patronus AI's mission is to provide the security and risk management layer for AI. We are solving the problem of scalable oversight - how can humans continue to supervise AI systems when AI far outperforms them in many real world scenarios? Our vision is a world in which AI evaluates AI. Our founding team comes from top applied ML and research backgrounds, including Facebook AI Research (FAIR), Airbnb, Meta Reality Labs, and quant finance. As a team, we have published research papers at top ML conferences (NeurIPS, EMNLP, ACL), designed and launched Airbnb's first conversational AI assistant, pioneered causal inference at Meta Reality Labs, exited a quant hedge fund backed by Mark Cuban, and scaled 0→1 products at high growth startups. We are backed by Lightspeed Venture Partners and high profile operators like Amjad Masad, Gokul Rajaram, and Fortune 500 executives and board members. Competitive salary and equity packages Health, dental, and vision insurance plans 401(k) plan Unlimited PTO Fun global offsites! Responsibilities As a Research Scientist at Patronus AI, you will be pivotal to solving the most important and challenging open research problems facing society's adoption of AI today, surrounding AI evaluation, language model understanding and robustness challenges. In this role, you will: Develop state-of-the-art systems for AI evaluation. Implement algorithms and models based on state-of-the-art NLP advancements, especially in the areas of evaluation and LLM alignment. Conduct novel research on redteaming language models, automated evaluation and alignment. Scope out and lead research projects, including experiment design, timelines for research deliverables, understanding results. Develop processes for high quality research, including dataset collection, model training, benchmarking and inference. Experiment with latest technologies and proactively suggest experiments and improvements to research and ML systems. Assist in the construction of high quality, novel datasets for classification and generative tasks, through synthetic data augmentation techniques and publicly available datasets. Contribute to research to production efforts that advance product offerings. Collaborate closely with product and engineering in our globally-based team. Qualifications Above all, we look for a proactive mindset, willingness to learn, relentless drive, and passion for working hands-on with customers. You are a great fit if you have a background in the following: Publications at leading AI conferences, journals or workshops, such as NeurIPS, ICML, EMNLP, ACL, AAAI. Experience conducting empirical NLP research in an academic or industry research lab. Knowledge and understanding of state-of-the-art machine learning concepts, with a focus on NLP. Familiarity with transformer-based architectures, attention mechanisms, evaluation metrics and benchmarks. Experience training language models in applied or research settings. Experience working and communicating cross functionally in a team environment. Creativity in problem solving and strong communication skills. Have good character, integrity and respect for others. Patronus AI is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. #J-18808-Ljbffr

Title: (Senior) Scientist, Cardiovascular Diseases Salary: $125,000-$145,000 EPM is currently partnered with clinical stage biopharmaceutical company with an exciting pipeline that shows preclinical promise in a broad range of clinical indications. Two lead assets are currently in early phase clinical developments, and on track for further clinical development this year. The leadership team brings over 25 years of success, with FDA-approved therapies, IPO launches, and multiple strategic biotech exits, along with deep connections across life sciences and venture ecosystems. Backed with resourceful funding and high-value partnerships in biotech and top-10 pharma, the company is well-positioned to reinvest into R&D, while advancing their current clinical pipeline in CNS and Fibrotic indications. They have identified that their platform naturally aligns with cardiovascular biology and are expanding into this area to drive the next wave of first-in-class therapies Key Responsibilities: Lead target discovery, identification, and validation efforts focused on cardiovascular and cardiometabolic diseases, leveraging a cutting-edge small molecule discovery platform. Design and execute in vitro and cell-based assays to interrogate target biology, disease-relevant pathways, and compound activity across cardiovascular indications (e.g., atherosclerosis, vascular remodeling, heart failure, and fibrosis). Collaborate cross-functionally with chemistry, translational, and clinical teams to ensure alignment between discovery biology and downstream development strategies. Apply deep knowledge of vascular biology, endothelial dysfunction, inflammation, and metabolic signaling to guide biological validation of new targets. Analyze and interpret complex data sets, integrating findings into broader disease biology and drug discovery programs. Contribute to the development of the cardiovascular research strategy, incorporating new technologies, disease models, and biomarker approaches to support target prioritization and lead optimization. Stay current with emerging science and competitive landscape in cardiovascular and cardiometabolic drug discovery, providing scientific insights to shape pipeline expansion. Key Skills & Qualifications: PhD in Cardiovascular Biology, Vascular Biology, Pharmacology, or a related discipline, with 3+ years of relevant industry experience(open to strong postdocs looking to transition). Deep expertise in cardiovascular disease biology, including knowledge of vascular dysfunction, endothelial biology, cardiomyocyte biology, cardiac fibrosis, and metabolic signaling. Hands-on experience with target discovery techniques such as: CRISPR screening RNA sequencing & omics data interpretation Biochemical and cellular assays to study target function (reporter assays, phenotypic screening, pathway modulation). Strong foundation in in vitro pharmacology- assay development, compound profiling, and mechanism-of-action studies for small molecules. Ability to work in a highly collaborative environment, communicating effectively with medicinal chemists, translational biologists, and external partners. Experience working within a small to mid-sized biotech environment is a plus - comfort operating in a fast-paced, evolving R&D setting. Passion for cardiovascular discovery and desire to play a hands-on role in shaping pipeline strategy in an innovative biotech setting.

Are you an experienced Scientist with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Scientist to work at their company in Rahway, NJ. Our company's Device Product & Process Development (DPPD) Team focuses on the design, development, and commercialization of Client biologic/drug/vaccine-device combination products for safe and effective delivery to their intended sites of action. The DPPD Team oversees the development of the device constituent within our pipeline of combination products, spanning various therapeutic areas and routes of administration, including inhalation, implantation, and injection. The DPPD within our Company Research Labs is seeking a talented, self-motivated, and highly collaborative Scientist with knowledge of container closure integrity (CCI) technology and experience with test method development, testing, and method validation for various product images (vials, syringes, cartridges, and injectors) and secondary packaging. The candidate will develop methods for our company's combination product pipeline, inclusive of small molecule, biologics, and vaccine products. Primary Responsibilities/Accountabilities: Develop, validate, and execute feasibility CCI studies for complex combination devices & delivery systems Author technical reports and testing protocols Review technical data to ensure compliance with cGMP standards Collaborate with cross-functional teams to ensure successful tech transfer of analytical methods between QC labs Qualifications: B.S./M.S in Mechanical Engineering, Biomedical Engineering, Industrial & Systems Engineering, Chemistry, Analytical Chemistry, Pharmaceutical Sciences, or a related field/discipline with 2-4 years of relevant work experience in the pharmaceutical, biotechnology, or medical device industries Good Manufacturing Practices (cGMP) laboratory environment in large molecules (vaccines, biologics) with knowledge in container closure integrity methods. Relevant analytical execution, development, validation, and/or quality control (QC) for container closure integrity as it pertains to small molecule, biologics, and vaccine products. Ability to learn new techniques, troubleshooting assays, author and review technical documents Excellent organizational skills to manage multiple projects Preferred: Hands-on experience in CCIT method development, validation, and troubleshooting for injectable therapeutics. Candidate should be familiar with the following CCIT technologies for this purpose: dye ingress, high voltage leak detection, vacuum and pressure decay, laser headspace analysis Familiarity with compression/tensile testing (Instron, Zwick, Texture Analyzer), rheology (TA Instrument), metrology/non-destructive inspection (XRCT [Zeiss], Optical microscopy [Keyence], high-speed imaging) Good technical, communication (oral and written), interpersonal, and teamwork skills. Ability to effectively identify and communicate risks. 100% lab based role. Buzz words: CCI, Container closure integrity, Vacuum decay, dye ingress, helium leak, laser headspace analysis, CO2 ingress, mass extraction, container validation, device verification, GMP, GXP, method development, method validation, USP , instron, medical device,tensile testing, auto-injectors, syringes, on-body injectors. Container Closure Integrity Testing: Closure integrity (CCI) is crucial for drug product sterility and stability. Container Closure Integrity Testing (CCIT), commonly referred to as leak detection, is a non-destructive packaging inspection system to maintain an aseptic barrier against potential contaminants.

Scale works with the industry's leading AI model labs to provide high quality data and accelerate progress in GenAI research. We are dedicated to advancing the science of data for generative AI. We develop innovative techniques for hybrid data generation and data quality assessment, ensuring high-quality and diverse datasets to drive the next generation of AI capabilities. We are looking for Research Scientists and Research Engineers to advance the science of data and tackle challenges in data generation, quality assessment, and data selection for large-scale AI models. In this role, you will research and develop methodologies for synthetic and hybrid data generation, data quality and diversity analysis, and annotator behavior modeling. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Develop and refine synthetic and hybrid (with human-in-the-loop) data generation methods to enhance model training. Design and implement data quality frameworks, including data diversity analysis, data selection strategies, and detection of reward hacking. Collaborate with internal teams and external partners to establish best practices for high-quality AI datasets. Publish research findings in top-tier AI conferences and contribute to open-source data quality initiatives. Ideally you'd have: Ph.D., Master's degree/or equivalent experience in Computer Science, Machine Learning, AI, or a related field. Strong background in deep learning, LLM, and data-centric AI methodologies. Experience in synthetic data generation, data selection, reward hacking detection, human-in-the-loop data, and annotator behavior research. Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Excellent written and verbal communication skills. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer facing role. Compensation: The base salary range for this full-time position in the location of San Francisco is $176,000 - $255,000 USD. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. #J-18808-Ljbffr

QC Chemist Job Title: Quality Control Laboratory Chemist - Radiopharmaceuticals Evergreen Theragnostics, Inc. is a radiopharmaceutical company headquartered in Springfield, NJ. We operate in a brand-new state-of-the-art facility, developing our own radiopharmaceutical products and providing contract development and manufacturing services for other radiopharmaceutical companies. We also operate our own cutting edge cancer research laboratories. Evergreen is a small team, where all team members support each other in a variety of activities. We are looking for team members who are motivated to take on new challenges and excited to help build the company. Job Description: We are seeking a highly skilled and experienced Quality Control Laboratory Chemist to join our team in the Radiopharmaceuticals division. This critical role involves the quality control processes documentation development, analytical methods improvement, and ensuring compliance with regulatory standards. The ideal candidate will have extensive experience in the pharmaceutical or radiopharmaceutical industry, a strong background in analytical chemistry, and well development technical writing capabilities. Key Responsibilities: Develop, optimize, and validate analytical methods for testing radiopharmaceutical products, including HPLC, GC, and TLC techniques. Troubleshoot and resolve issues related to laboratory equipment, ensuring proper functioning and accurate results and offering expertise and executing tasks related to department objectives and quality initiatives. Support the validation of analytical procedures, ensuring they meet internal specifications and regulatory requirements. Write, develop, and analyze methods and protocols for new and existing testing procedures. Serve as a key resource for the team, providing client support and managing communications related to reports, calls, and project updates. Contribute to the development of QC-specific protocols and reports, particularly for analytical method validation and related documentation. Collaborate with cross-functional teams and assist with the execution of client-driven requirements, ensuring that testing processes are aligned with regulatory standards. Lead and support efforts in continuous improvement projects that aim to optimize laboratory processes, increase efficiency, and enhance the overall quality system. Assist with departmental initiatives, including recruitment, training, and development of team members, as well as contributing to team scheduling and resource management. Ensure the accurate documentation of all testing results, protocols, and reports in compliance with GMP, GLP, and other regulatory guidelines. Qualifications: 5+ years of experience in the pharmaceutical, life sciences, or radiopharmaceutical industry Bachelor's degree in a scientific field (e.g., Chemistry, Biochemistry, Pharmaceutical Sciences), or equivalent relevant work experience. Extensive experience with laboratory techniques, including HPLC, GC, and TLC, with a strong ability to troubleshoot and resolve issues related to these methods. Proven ability to develop, modify, and validate analytical methods for a variety of testing procedures. Strong written and verbal communication skills, with experience developing and writing technical reports, protocols, and validation documents. Demonstrated ability to work independently as well as collaborate effectively with cross-functional teams. Experience in supporting client needs, including providing timely updates, addressing inquiries, and delivering high-quality reports. Knowledge of GMP, GLP, and other regulatory requirements for pharmaceutical testing and documentation. Working Environment: Laboratory setting with exposure to radiation and other chemical hazards. Fast-paced laboratory setting with responsibility for multiple concurrent projects and tasks. Opportunity to contribute to team improvement, including process optimization and team development. Collaborative environment with a focus on innovation and continuous growth in the radiopharmaceutical sector.

Full-time position Competitive compensation (Salary, Benefits & Options) 180 Varick Street, New York, and 430 E 29th Street, New York Waypoint Bio is a venture-backed biotech startup building the next generation of cell therapies for solid tumors and autoimmune diseases. Traditional cell therapy development faces a trade-off between in vitro approaches that are fast but inaccurate, and in vivo approaches that are accurate but slow and expensive. Using our proprietary platform combining spatial biology, pooled screening, in silico protein engineering, and machine learning, we can obtain both depth and breadth when screening cell therapy candidates - speed without compromising on in vivo accuracy. Our team is highly collaborative, interdisciplinary, and shares the mission of developing novel immune cell therapies to benefit patients' lives. Position Summary: We are seeking a highly motivated, creative scientist who thrives in a fast-paced and collaborative environment. The ideal candidate will have extensive expertise in immunology, including a deep understanding of either regulatory T cells (Tregs) or the design of engineered T cell therapies (e.g. CAR-Treg, CAR-T, TCR-T, or others). Their primary tasks will be to apply their knowledge of the immune system to design novel T cell therapies, optimize the manufacturing of these cell therapies using multiplexed cloning and T isolation & genetic engineering approaches, and then test their function using in vitro and in vivo models of diseases. In this role, you will work collaboratively with our team of computational and wet-lab scientists to develop cutting-edge technologies and new therapeutic options for patients. Duties and Responsibilities Apply your knowledge of immune-related signaling pathways & protein domains to improve the efficacy of existing T cell therapies. Generate hundreds of innovative designs for cell therapies that address the challenges in different disease indications, with a focus autoimmune diseases and solid tumors. Work independently to optimize the manufacturing conditions for Treg and CAR T cell therapies, and implement these strategies to generate libraries of T cell therapies. Develop in vitro assays and in vivo models of Treg function, and work collaboratively to implement these assays to compare the function of different Treg cell therapy designs. Implement existing strategies for highly multiplexed cloning, using either pooled cloning or arrayed cloning approaches. Introduce new technologies and improve the performance, throughput, and accuracy of existing assays Actively engage in prioritizing key milestones and developing appropriate timelines Provide conceptual input on experimental design and interpretation in a team setting Required Qualifications Ph.D. in Immunology, Cancer Biology, Protein Design, Cell Biology, or a related field. Alternatively, M.S. or B.S. degree with 5 years or 7 years of equivalent experience, respectively. 4+ years of academic or industry experience working on immunology and T cell biology. Experience culturing T cells ex vivo and using these cells for downstream assays. Strong molecular biology skills for cloning (e.g. Gibson Assembly) and genetic engineering of mammalian cells (e.g. viral approaches, CRISPR systems). Knowledge of the interplay between the immune system and either healthy tissues or the tumor microenvironment. Practical knowledge of the immune cell therapy field. An excellent scientific track record with published papers or recent experience in immunology or cell therapy. Superb written and oral communication skills, and the organizational abilities to pursue several projects on tight timelines. Preferred Qualifications Deep expertise in the design and testing of engineered Treg cell therapies (e.g. CAR-Treg, armored T cell therapies) for autoimmune and inflammatory indications. Knowledge of the mechanisms used by Treg cells to dampen immune responses in a variety of tissue contexts. Experience designing novel in vitro assays or animal models for autoimmune and inflammatory indications. Send CV and cover letter to apply: ********************

Required Skills and Experience * Bachelor's degree in Environmental Science, Ecology, Biology, or a related field ( open to active students). Strong knowledge of environmental regulations and compliance requirements. Excellent analytical and problem-solving skills. Job Description * A client of insight global is seeking two Entry level Environmental Scientist/Researcher to come on for a 6-9 month contract. We are seeking a passionate Environmental Scientist to join the team. Responsibilities: Conduct fieldwork to collect environmental data, including soil, water, and air samples. Analyze environmental data to assess pollution levels and identify potential environmental hazards. Prepare detailed reports and presentations on findings and recommendations. Collaborate with government agencies, stakeholders, and other organizations to ensure compliance with environmental regulations. Conduct environmental impact assessments for proposed projects. Provide expert advice on environmental policies and best practices. Stay updated on the latest environmental research and trends. This position can pay $20-$24/hr.

Scalata is an AI-driven finance automation platform located in New York, NY. Our vision is to democratize investment data using generative AI to empower credit decision making. We aim to drive global economic growth, foster financial inclusion, and create a positive ripple effect that empowers businesses, communities, and economies worldwide. NEW YORK ONLY BASED "NO RELOCATION OR REMOTE PLEASE DO NOT APPLY OTHERWISE " Senior Data Scientist - Generative AI - Agents and LLM developer Role Description This is a full-time on-site role for a Data Scientist specializing in Machine Learning and Artificial Intelligence with a focus on Natural Language Processing/Understanding. The Data Scientist will be responsible for tasks such as data analysis, statistical modeling, data visualization, and implementing AI models to automate the credit lifecycle. Qualifications Data Science Data Analytics and Data Analysis skills Experience in Data Visualization Strong programming skills in Python, PySpark Extensive knowledge of Machine Learning and Artificial Intelligence algorithms Highly skilled development of Agents using Langchain or other frameworks and chatbot management software development Practical knowledge and experience in building large language models Experience with Natural Language Processing Strong problem-solving and critical thinking abilities Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or related field

Center 1 (19052), United States of America, McLean, VirginiaSenior Associate, Data Scientist - Customer Management Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description: The Mainstreet Customer Management Data Science team builds industry leading machine learning models to empower various customer management decisions for our existing customers. We collaborate closely with a wide range of cross functional partner teams including software engineers, managers and business analysts, to deliver the solutions from ideation to implementation. We are a team of model developers, who own the full life cycle of our models - infrastructure and model development, deployment, monitoring, and governance. This team has a primary goal of modernizing machine learning models, making them low-touch with minimal manual features to enhance user experience. Role Description: In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 2 years' experience in Python, Scala, or R At least 2 years' experience with machine learning At least 2 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).