Senior scientist jobs in Union, NJ - 1,238 jobs

A leading crypto platform is looking for a Principal Data Scientist to enhance customer experience from onboarding to product adoption. In this role, you will work cross-functionally to design and implement models that support growth. Your impact will be felt across major teams as you mentor others and lead innovative projects in data science and machine learning. The role requires in-person collaboration at the San Francisco or NYC office twice weekly, offering a competitive salary and flexible work arrangements. #J-18808-Ljbffr

New York or San Francisco Who we are: Our name is inspired by Theodore Roosevelt's ‘Citizenship in a Republic' speech, which pays homage to the ‘(hu)man in the Arena'. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause. We're a close-knit team of scientists and builders redefining the future of hardware engineering. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena. What we do: Our collective future is being built in the physical world, but the builders of tomorrow's technology can no longer rely on yesterday's tools. At Arena, we're building the world's first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we\u2019re rapidly already scaling into the defense, automotive, and aerospace industries, and we're just getting started. About the role: As a Principal Research Scientist, Electromagnetism, you will lead the architecture, training, and validation of our electromagnetic foundation model, bridging numerically solved physics equations, neural operators, and product-grade simulation. How you will contribute: Design FNO/AFNO/Deformation-FNO/U-FNO multiscale operator architectures with embedded physical constraints Implement causality/passivity enforcement and uncertainty calibration Proprietary Training Data Corpora Specify coverage targets Work with Arena's Platform Engineering team to orchestrate solver farms and synthetic generation Work with Arena Electrical Engineers to define a set of requirements and interface for physically-generated training data via hardware-in-the-loop test campaigns Develop sim-to-real calibration using for example VNA/near-field/BER measurements Evaluation & Validation Build automated accuracy and constraint eval suite Own releases and reporting Optimization & Performance Profile inference latency and throughput Leadership & Documentation Author design docs, experiments, and technical reports Qualifications You have: PhD or equivalent research track in Electrical Engineering, Applied Physics, Computer Science, or Applied Math Proven expertise building and training large foundation models Experience with FNO and/or Neural Operators Understanding of EM solvers (FEM/FDTD/MoM) Strong Python, PyTorch/JAX, C/C++ for bindings Proven record of physics-constrained ML or scientific simulation deployment [Preferred] Prior work on passivity/causality enforcement in learned models [Preferred] Familiar with PDN, high-speed channel design, and EMI compliance testing [Preferred] Experience and familiarity with high performance principles (e.g. Slurm for scheduling, message passing workloads, etc.), and cloud service provider HPC ecosystems (e.g. AWS Batch, Elastic Fabric Adapter, etc.) 100% of the monthly premium for Aetna medical insurance, plus vision and dental coverage 401(k) Retirement Plan Unlimited PTO Lunch every day from local restaurants via Sharebite Relocation support provided (NYC or SF) Benefits Salary: The base salary range for this position is $250,000 - $350,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages. Additional benefits: relocation support, health insurance options, and retirement plan offerings as listed above. #J-18808-Ljbffr

The Staff Scientist will prepare grant applications and other scientific communication materials on a wide range of genomic research topics. This role is deeply immersed in the science of NYGC and supports our research team in building and expanding a successful, independently-funded research base. They collaborate with diverse teams of students, postdoctoral fellows, and principal investigators, and relates scientific and strategic goals to individual grant opportunities and other research communications vehicles. Typical grants include individual investigator, multi-PI and research center grants. Key Responsibilities Takes a lead role in preparation and project management of individual and multi-investigator proposals; Provides advice on grantsmanship, editorial support and standardized language for administrative sections; Identifies opportunities for funding Manages the scientific writing process, including proposal management, team-building and coordination; establishing timelines and deliverables; Provides draft preparation, review and revision of grants and scientific writing. Coordinates with and supports Sponsored Research staff to ensure timely, accurate application submission. Edits manuscripts, fellowship applications, research progress reports, clinical research protocols and other research communications materials. Interacts with lab members to independently develop new grant proposals. Organizes small group meetings with lab members to review project progress, plan experiments, and integrate team data. Assists in the design and planning of functional genomics and genetic perturbation experiments; and, Assists in analysis and figure preparation of diverse types of data, including high-throughput sequencing, microscopy images, gel images, and schematic diagrams. Key Responsibilities include (but are not limited to): PhD in genetics, genomics, cancer biology, neuroscience or related discipline required; 5+ years research experience, including contributing to grant writing, required. NIH experience strongly desirable; Exceptional written communication skills required to prepare and edit competitive grant applications, publications, administrative materials, and other research communications; Ability to grasp complicated technical subjects, synthesize diverse lines of evidence and apply these abilities to technical writing required; Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred; Experience with standard grant development concepts, practices, and procedures in a research environment preferred; Applied statistics background required, to perform power calculations and develop quantitative metrics for genomic assays; Ability to collaborate with diverse teams of investigators and administrative personnel required; and, Strong project management skills and experience required. Competencies Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations, and delivers on commitments. Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $62,000-78,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

The Department of Civil Engineering and Engineering Mechanics at Columbia University is seeking a highly motivated and skilled Postdoctoral Researcher to join our team in Experimental Solid Mechanics . This is an exciting opportunity to contribute to cutting‑edge research aimed at advancing our understanding of material behavior in extreme environments experimentally, in collaboration with the computational mechanics group. The successful candidate will be involved in an experimental effort to investigate the mechanics of materials subjected to dynamic loading. The research will involve the use of advanced experimental techniques, such as digital image correlation, Hopkinson bar, and analytical tools to gain insights into the behavior of materials under various loading conditions. We are looking for a candidate with the following qualifications: Solid Mechanics Background : A strong foundation in the principles of solid mechanics, including material behavior, deformation, and failure. Experimental Techniques : Hands‑on experience with experimental methods and equipment relevant to solid mechanics testing (e.g., mechanical testing systems, strain measurement, high‑speed imaging, digital image correlation). Problem‑Solving and Analytical Skills : Ability to independently identify, troubleshoot, and solve complex experimental and analytical problems. Communication Skills : Strong written and verbal communication skills, able to present research findings to both technical and non‑technical audiences. Collaboration Skills : Proven ability to work effectively in multidisciplinary research teams Preferred Qualifications Ph.D. in Mechanical Engineering, Civil Engineering, Materials Science, or a related field. Demonstrated publication record in relevant areas of research. Experience with custom experimental setup development and instrumentation is a plus. Interested applicants should submit the following documents: A cover letter detailing research experience and interests Curriculum vitae (CV) Contact information for at least two academic references Relevant publications (optional) Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting. #J-18808-Ljbffr

Are you an experienced Scientist - Cell-Based Assays with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Scientist - Cell-Based Assays to work at their company in Rahway, NJ. Position Summary: We're seeking a hands-on scientist to execute high-throughput cell-based assays in 384-well format. You will culture and plate cells, dispense compounds using the Echo, run diverse detection readouts, and analyze dose-response data to deliver high-quality EC50 results for discovery programs. Primary Responsibilities/Accountabilities: Maintain, expand, and plate mammalian cell lines for 384-well assays Set up and execute assays with compound dispensing via Labcyte/Beckman Echo Run and optimize detection formats (e.g., luminescence, cAMP, HTRF/TR-FRET, fluorescence) Generate dose-response curves (4-parameter logistic fits) and report EC50/IC50 with QC Troubleshoot assay performance, optimize Z' factors, and document SOPs/results Collaborate with discovery teams to prioritize studies and timelines Additional responsibilities may include setting up Western blot assays and learning how to run in-cell westerns Qualifications: BS/MS/PHD in Biology, Pharmacology, Biochemistry, or related field; BS with 5+ years, Masters with 3+ years and PHD with 1+ year of industry or equivalent lab experience. Proficiency in mammalian cell culture and 384-well assay workflows Experience with plate readers and assay platforms (e.g., cAMP, HTRF, luminescent assays) Strong data analysis skills: 4PL curve fitting, EC50/IC50 determination, and curve QC (e.g., R^2, top/bottom constraints) Detail-oriented, organized, and comfortable in a fast-paced, high-throughput environment Preferred: Experience with automation/LIQ handlers, LIMS/ELN, and statistical QC (Z', CV, S/B) Familiarity with GraphPad Prism, ActivityBase, or equivalent analysis tools Hands-on experience with Echo acoustic dispensing.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. 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: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you'd have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. 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 packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. 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. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Requisition ID 61042 Position Type (US) Full Time Workplace Arrangement #LI-Onsite About Kerry Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment. About the role The RDA Process Scientist performs research and development work with an operations focus which bridges the gap between RD&A Taste Innovation and KERRY's commercialization process. He/she will focus on process optimizations, scale-ups, solving regulatory and other hurdles to new products and technologies introductions. He/she will collaborate with other scientists (especially Taste Innovation team), engineers, maintenance, QC, sanitation, etc. Key responsibilities * Work closely with Taste Innovation team to develop and scale up taste modulation products * Focus on solving the regulatory hurdles * Liaising with cross functional teams engineering, research, technical, QC, sanitation, maintenance, and/or production staff, regulatory, procurement, etc. * Planning, organizing, and overseeing process or production trials * Suggests improvements or modifications to current processes * Generates ideas for new products and researches feasibility in terms of profitability, resource availability and compliance with regulations. * Adheres to Standard Operating Procedures (SOPs) and Cleaning In Place (CIP) * Keeps recording data log (flow rate, pressure, temperature, etc) and analyzing data * Writes and reads technical papers, reports, reviews, and specifications. Qualifications and skills * Bachelor's or Master's in food process science, food engineering, agricultural science, engineering, material science or related science fields. * Experience in a food production environment or industrial laboratory Experience with upscaling of food manufacturing processes is a plus moving from lab scale to industrial scale. * Knowledge of good manufacturing practice * Problem-solving skills, analytical skills, and attention to detail * Strong communication and interpersonal skills, able to work effectively as part of a team. * Excellent analytical, organizational, and multi-tasking skills. The pay range for this position is $107,757 to $181,563 in Annual Salary. Kerry typically does not hire an individual at the top or near the top of the range, as we are a pay-for-performance company, and this range is set to continue to reward performance annually while in role. Compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate within the above range may be influenced by a variety of factors including skills, qualifications, experience, and internal equity. Kerry offers a competitive benefits package, including medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, Employee Share Plan, Life, disability, and accident insurance, and tuition reimbursement. This job posting is anticipated to expire on Jan 30th, 2026. Kerry is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age disability, protected veteran status or other characteristics protected by law. Kerry will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen. Additional information can be found at Know Your Rights Workplace Discrimination is Illegal (dol.gov). Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a "starter kit," investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name. Recruiter Posting Type DNI

We are conducting a research study aimed at improving smart glasses technology for people with disabilities, specifically those with hearing loss. We are looking for individuals with low to moderate hearing loss to participate and help us test and provide feedback on our smart glasses prototype.Who We're Looking For: Adults (18 years or older) with mild to moderate hearing loss Comfortable using wearable technology or open to trying it Able to provide feedback and participate in a guided user experience session No prior experience with smart glasses needed Up to 3 hours of active commitment What You'll Do: Wear and interact with a prototype of smart glasses Complete tasks or activities while using the device Share your experience and provide feedback in a short interview or survey Why Participate: Be part of a project that advances accessibility and inclusive technology Your input will directly influence how we design assistive devices for the Deaf and hard of hearing community Receive compensation for your time and effort $70 - $75 an hour We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Research Scientist Analytical Development Position Overview: As an Analytical Development Scientist, you will be at the forefront of designing analytical experiments to drive new product development for global markets. Your role involves developing, validating, and transferring analytical methods to manufacturing sites and CMOs, ensuring that analytical procedures meet regulatory requirements and can be implemented effectively. You will interpret results accurately, derive conclusions based on sound science, and delegate analytical lab work to in-house bench chemists or contract laboratories, performing laboratory work when necessary. You will document learnings thoroughly, share knowledge with teams, and collaborate with the Analytical Development functional community to understand the chemistry of new products. Additionally, you will prepare product specifications, plan stability studies, and prioritize work to ensure timely delivery of results and achieve critical project milestones. Your responsibilities also include following written procedures and laboratory practices to ensure quality and compliance, drafting and reviewing SOPs, OIs, and relevant documents, and presenting experimental findings effectively to colleagues with scientific and non-scientific backgrounds. YOUR TASKS AND RESPONSIBILITIES: Design analytical experiments to drive new product development for global markets; Develop, validate, and transfer analytical methods to manufacturing sites/CMOs; Create analytical procedures that meet regulatory requirements and can be implemented at manufacturing sites; Interpret results accurately and derive conclusions based on sound science; Delegate analytical lab work to in-house bench chemists or contract laboratories, and perform laboratory work when necessary; Document learnings thoroughly and share knowledge with teams; Collaborate with the Analytical Development functional community to understand the chemistry of new products; Prepare product specifications and plan stability studies; Prioritize work to ensure timely delivery of results and achieve critical project milestones; Follow written procedures and laboratory practices to ensure quality and compliance; Draft and review SOPs, OIs, and relevant documents, including validation/transfer protocols and reports; Present experimental findings effectively to colleagues with scientific and non-scientific backgrounds. WHO YOU ARE: Bayer seeks an incumbent who possesses the following: Minimum Requirements: Bachelor's Degree in Science or international equivalent, with four or more years of experience; OR a Master's degree in Science or international equivalent, with two or more years of experience; OR a Ph.D. in Science or international equivalent, with one year of experience; Experience in analytical development within the Rx, OTC, Consumer products industry or in an academic setting; Strong knowledge of relevant analytical techniques (HPLC, LC-MS, GC, UV-Vis, FT-IR, AAS); Excellent oral and written communication skills, with an emphasis on clarity and conciseness; Organizational and interpersonal skills with the ability to multitask; Self-motivated to learn and develop within the organization. Preferred Requirements: Advanced degree in analytical chemistry, pharmaceutical analysis, or a related field; Hands-on knowledge in method development and validation of pharmaceutical tests (Assay, Impurities, Dissolution); Knowledge of GMPs and LIMS. Employees can expect to be paid a salary between $99,253.06 - $148,879.60 Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least January 5, 2026. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location: United States : New Jersey : Morristown Division: Consumer Health Reference Code: 858288 Contact Us Email: hrop_*************

At Nouryon, our global team of Changemakers takes positive action every day, to reach higher collectively and individually. We create innovative and sustainable solutions for our customers to answer society's needs - today and in the future. As a Scientist, you will be responsible for leading research projects, developing innovative solutions, and optimizing processes within your field of expertise. You will collaborate with cross-functional teams, maintain a safe working environment, and be the lead technical contact for customers. This role offers the opportunity to work on high-impact projects, with occasional travel both domestically and internationally. In your future role as Scientist you will: * Maintain and promote a safe, clean, and orderly working environment * Plan, set up, and execute experiments; analyze and interpret results * Identify new product and process optimization opportunities * Keep up-to-date with the latest research methods and ensure knowledge retention within the team * Act as a lead technical contact in customer meetings and present technical information * Collaborate with Intellectual Property (IP) teams to manage and file IP applications * Participate in projects, ensuring timely and high-quality execution using your expertise We believe you bring: Education: * PhD in Chemistry/Polymers/Material Science/Chemical Technology + 3 years of experience, OR * Master's Degree + 5 years of experience, OR * Bachelor's Degree + 10 years of experience in relevant fields Preferred: * PhD with 5+ years of experience Experience: * Required: Laboratory experience in chemistry, polymers, or material science * Strongly Preferred: Experience with surfactants and/or polymer formulation technology in Agro applications Skills and Competencies: * Strong communication and presentation skills * Expertise in designing, executing, and analyzing experiments * Knowledge of experimental design and data interpretation * Ability to deliver results on large projects, meeting business needs on time. Good to know: This is a permanent on-site position on a full-time basis, reporting to the Section Manager in Bridgewater, NJ. Please apply via our online recruitment system. We will not accept applications via e-mail. Once it's with us we will review to see if we have a match between your skills and the role! For more information about our hiring process, visit: nouryon.com/careers/how-we-hire/ We look forward to receiving your application! We kindly ask our internal candidates to apply with your Nouryon email via Success Factors. About Nouryon: We're looking for tomorrow's Changemakers, today. If you're looking for your next career move, apply today and join Nouryon's worldwide team of Changemakers in providing essential solutions that our customers use to manufacture everyday products such as personal care, cleaning, paints and coatings, agriculture and food, pharmaceuticals, and building products. Our employees are driven by the desire to make an impact and actively drive positive change. If that describes you, we will gladly make way for your ambitions. From day one, we support you with your personal growth, through challenging positions and comprehensive learning and development opportunities, in a dynamic, international, diverse, and proactive working environment. Visit our website and follow us on LinkedIn. #WeAreNouryon #Changemakers We have already chosen our sourcing channels for this recruitment and kindly ask not to be contacted by any advertisement agents, recruitment agencies or staffing companies.

The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the Chief Technology Office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with stakeholders in these areas to execute projects that require machine learning development to support JPMC businesses as they grow. Strategically positioned in the Chief Technology Office, our work spans across Cybersecurity, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates. As a Machine Learning Scientist, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualisation, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI for technology use-cases, reinforcement learning and recommendation systems. You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. **Job Responsibilities** + Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation + Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure + Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production + Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business + Contribute to reusable code and components that are shared internally and also externally **Required qualifications, capabilities and skills** + PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 1 year experience Or Masters with 2 years of industry or research experience in the field. + Hands-on experience and solid understanding of machine learning and deep learning methods + Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) + Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning) + Scientific thinking and the ability to invent + Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals + Experience with big data and scalable model training + Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences + Curious, hardworking and detail-oriented, and motivated by complex analytical problems + Ability to work both independently and in highly collaborative team environments **Preferred qualifications, capabilities and skills** + Strong background in Mathematics and Statistics + Familiarity with the financial services industries + Experience with A/B experimentation and data/metric-driven product development + Experience with cloud-native deployment in a large scale distributed environment + Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal + Ability to develop and debug production-quality code + Familiarity with continuous integration models and unit test development JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans **Base Pay/Salary** Jersey City,NJ $128,250.00 - $195,000.00 / year

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Cross project Clinical Pharmacology support for late stage clinical programs. Contribute to the design and coordination of pharmacokinetic / DMPK related elements for clinical projects. Identify potential project hurdles, suggest solutions and establish contingency plans. Represent Oncology Clinical Pharmacology (OCP) on clinical trial teams to support early or late stage clinical programs. Contribute expert input into key pre-clinical and clinical, and regulatory documents including clinical study protocols, clinical study reports, modeling reports, investigator brochures, IND / IMPD's and NDA's within agreed timelines, and meeting all regulatory requirements under frequent guidance from manager. Facilitate constructive collaboration within drug development teams (GPTs, etc) and with other internal partners (e.g. DMPK, Toxicology, Formulations, Drug Regulatory Affairs, Clinical Development). Work with a senior colleague or supervisor to define and update as appropriate the PK, PK/PD, DMPK, biopharmaceutical and pharmacometric requirements in the OCP and/or pre-clinical project development plans. Monitor timelines, objectives and, as appropriate, budgets. Ensure accuracy of project and activity progress in company tracking tools (e.g., Succeed, ModTracker). Assure rapid and effective communication of high quality data and results to project teams with support of manager. Follow internal processes, adhere to Client and project specific standards and, when required, adhere to Health Authority requirements (SOPs, Master Analysis Plan, GCP, and regulatory guidelines). Contribute to writing and updating new processes and standards for OCP. Contribute to and participates in OCP or project sub-teams. Coordinates with appropriate subteam members and/or prepare summary documentation. Maintain and enhance technical and drug development expertise (e.g. training courses, external meeting attendance). Help conduct training / study sessions within OCP and for other line functions. Contribute to meetings with external parties including investigators and outside experts. Languages: Fluent English (oral and written) Experience/Professional requirement: 1. 0-10 years of relevant academic, industry, or government experience 2. Proficiency with pharmacometric tools (e.g., WinNonlin, SAS, NONMEM, Trial Simulator, GastroPlus, SymCyp). 3. Knowledge of related disciplines (e.g., DMPK, biostatistics, toxicology, regulatory) in the drug development process. 4. Ability to work as part of a cross functional team in a highly dynamic, matrixed, project-team environment. 5. Strong oral and written communication skills. 6. Strong organizational and project skills. 7. Critical thinking and problem solving skills. Qualifications Education:. Ph.D. in a relevant discipline, Pharm D. with appropriate post-doctoral training, or equivalent experience. Additional Information Best Regards, Akriti Gupta ************** Morristown, NJ 07960

Job Title: Contractor at Research Associate Scientist level Division/Functional Area: Research & Development TMS, Development Biological Sciences R&D, is seeking a highly motivated junior scientist to support a development project in the Regenerative Medicine area. This contractor position offers an excellent opportunity for individuals seeking valuable industry experience and growth in a dynamic environment. The successful candidate will perform laboratory experiments to evaluate and **characterize biologic** and **synthetic implantable materials** . Knowledge and familiarity with biomaterial characterization techniques (DSC, SEM, etc.), biochemical analytical testing (such as colorimetric assays), digital image analysis, and mechanical testing methods (e.g. Instron testing) is preferred. Prior experience in **ECM biology, tissue engineering & regeneration** , or **biomaterials** is highly desirable. We are looking for someone who is naturally inquisitive, detail oriented, learns quickly, and thrives in a fast-moving research setting. The candidate will be expected to organize, analyze, and interpret experimental results with substantial independence, while receiving guidance from senior personnel and collaborating extensively with other Scientists and Research Associates. **Top 3-5 skills, experience or education required** 1. BS in material science, biomedical engineering or related field 2. 1+ years of hands-on laboratory experience (academic lab experience for fresh graduates or industry experience are both okay) 3. Knowledge and familiarity with one or more of the following instruments: DSC, SEM, Instron 4. Quick learner **Key Responsibilities** - Independently conduct laboratory experiments to generate reliable and consistent data in a timely manner. - Document, discuss, and modify experimental studies as needed in collaboration with other team members and/or project lead. - Summarize data and assist project lead in maintaining project documentation. **Qualifications** - Bachelor's degree in material science, biomedical engineering or a related field with 1+ years of academic or industry laboratory experience - Experience with performing and troubleshooting a wide variety of **material characterization** assays is desired - Demonstrated ability to quickly learn new concepts, skills and techniques - Capable of contributing independently but also work successfully in a highly collaborative scientific environment - Possess strong written and oral communication skills - Working knowledge of MS Office (Excel, Word, PowerPoint) and basic understanding of statistical analyses is a plus - Meticulous attention to detail and diligence in record keeping **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the Chief Technology Office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with stakeholders in these areas to execute projects that require machine learning development to support JPMC businesses as they grow. Strategically positioned in the Chief Technology Office, our work spans across Cybersecurity, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates. As a Machine Learning Scientist, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualisation, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI for technology use-cases, reinforcement learning and recommendation systems. You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Cybersecurity, Software and Technology Infrastructure Collaborate with multiple partner teams in Cybersecurity, Software and Technology Infrastructure to deploy solutions into production Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Contribute to reusable code and components that are shared internally and also externally Required qualifications, capabilities and skills PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 1 year experience Or Masters with 2 years of industry or research experience in the field. Hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning) Scientific thinking and the ability to invent Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences Curious, hardworking and detail-oriented, and motivated by complex analytical problems Ability to work both independently and in highly collaborative team environments Preferred qualifications, capabilities and skills Strong background in Mathematics and Statistics Familiarity with the financial services industries Experience with A/B experimentation and data/metric-driven product development Experience with cloud-native deployment in a large scale distributed environment Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal Ability to develop and debug production-quality code Familiarity with continuous integration models and unit test development

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide. Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma. Legend Biotech is seeking Scientist I - MSAT (Cell & Gene Therapy) (Contractor) as part of the Manufacturing Technology team based in Somerset, NJ. Role Overview We are seeking a motivated Scientist I to join our MSAT team, supporting the development, troubleshooting, and optimization of automated manufacturing processes for CAR-T and other cell therapy products. Under the guidance of senior staff, this role will perform bio-pilot run experiments, technology evaluations, and process improvement studies. The position will directly contribute to manufacturing robustness and efficiency by executing laboratory work, assisting in equipment testing, and analyzing process data. This is a contracted position. Key Responsibilities Execute bench-scale experiments for bio-pilot run comparisons, technology evaluations, and process improvement initiatives. Operate and assist in troubleshooting closed-system and automated platforms (e.g., Prodigy, Rotea, Cue, Lovo, G-Rex). Perform and interpret analytical assays, including flow cytometry, qPCR, ELISA, and other cell-based methods, to support process evaluation and comparability. Collect, analyze, and summarize experimental data (cell growth, viability, metabolite trends) using statistical tools. Support preparation of study protocols, technical reports, and SOPs in compliance with GMP standards. Assist in process troubleshooting and root-cause investigations for manufacturing and automation systems. Maintain a safe, organized, and compliant laboratory workspace. The role makes independent decisions regarding routine laboratory execution, minor troubleshooting, and data analysis within approved study protocols. Guidance is sought from senior team members for experimental design, major troubleshooting steps, and changes to validated processes. Requirements Bachelor's degree in biotechnology, Bioengineering, Molecular Biology, or related discipline 2-4 years' experience in cell culture (T-cells, immune cells, or primary cells) in an academic, process development, or GMP environment. Hands-on experience with aseptic technique and biosafety cabinet work. Exposure to closed-system or automated manufacturing platforms preferred (e.g., Prodigy, Rotea, Cue, Lovo). Hands-on experience with analytical assays (flow cytometry, qPCR, ELISA) in a cell therapy, immunology, or bioprocess setting. Experience in basic analytical methods such as cell counting, viability assays, and metabolite monitoring. Familiarity with data analysis and preparation of technical documentation. Proficiency with Microsoft Office (Excel, Word, PowerPoint). Basic data analysis using Excel, JMP, or similar tools. Ability to interface with instrument control software. #Li-JR1 #Li-Hybrid Benefits We are committed to creating a workplace where employees can thrive - both professionally and personally. To attract and retain top talent in a highly competitive industry, we offer a best-in-class benefits package that supports well-being, financial stability, and long-term career growth. Our offerings are designed to meet the diverse needs of our team members and their families, ensuring they feel valued and supported every step of the way. Highlights include medical, dental, and vision insurance as well as a 401(k)-retirement plan with company match that vest fully on day one. Equity and stock options are available to employees in eligible roles. We offer eight weeks of paid parental leave after just three months of employment, and a paid time off policy that includes vacation days, personal days, sick time, 11 company holidays, and 3 floating holidays. Additional benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs - demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. Please note: These benefits are offered exclusively to permanent employees. Contract employees are not eligible for benefits through Legend Biotech. EEO Statement It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. Legend may adjust base salary or other discretionary compensation at any time based on individual, team, performance, or market conditions. Legend Biotech maintains a drug-free workplace.

About the role The position involves working within the Recombinant Mammalian Drug Substance function, which is part of the global Manufacturing Science, Analytics, and Technology organization. The role includes tech transfer activities of mass spectrometry-based methods, method execution, optimization, and report writing to support product launches and life cycle management About you * Develop, optimize, and execute liquid-chromatography coupled to mass spectrometry methods * Serve as an expert in analytical HPLC and mass spectrometry techniques * Integrate LC-MS data with process and product knowledge for comprehensive analysis * Manage end-to-end method responsibility from development to execution and documentation * Identify improvements for existing methods to enhance robustness and reduce cycle time About you * PhD or Master in Life Sciences with mandatory mass spectrometry experience * Prior hands-on experience with LC-MS is essential for this role * Experience interpreting large molecule LC-MS data at intact or peptide levels is advantageous * Strong understanding of chromatography methods and mass spectrometry for project acceleration * At least 3 years of experience in method development, validation, and investigation testing/support

Kenvue is currently recruiting for a: Scientist, R&D Analytical What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we're the house of iconic brands - including NEUTROGENA , AVEENO , TYLENOL , LISTERINE , JOHNSON'S and BAND-AID that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage - and have brilliant opportunities waiting for you! Join us in shaping our future-and yours. For more information, click here. Role reports to: Manager, Analytical-Global Base Business Location: North America, United States, New Jersey, Summit Work Location: Hybrid What you will do The Scientist Analytical Chemistry will be responsible for executing test method development, test method validation, test method transfer, technical investigations and troubleshooting, evaluation of technical transfer for manufacturing, stability, management of impurities and residual solvents. The Scientist, Analytical Chemistry will manage the workload to meet aggressive timelines and will serve as part of cross-functional project teams, which impact product specifications, change controls, and fit for commercialization to Kenvue Products: Key Responsibilities Develop, evaluate, optimize, and validate Analytical methods using techniques such as HPLC, UPLC, GC, UV-VIS, FTIR, GCMS, LCMS, for the analysis of cosmetic and drug products. Author, review Analytical technical documents for product launches. Lead Analytical Test Method Transfers activities for the qualification of Internal and External Analytical laboratories. Support critical investigations and provide solutions to cross functional team. Maintain compliance with regulatory requirements and safety standards. Collaborate effectively with other groups within Analytical, Product Development, R&D and Supply Chain. What we are looking for Required Qualifications A minimum of a Bachelor's degree in Chemistry or closely related science and minimum of 3 years of professional experience is required; Master's degree preferred. Applied experience with HPLC, UPLC, GC, UV-Vis, FTIR, wet chemistry and compendial techniques is required. Experience with advanced analytical techniques such as GCMS or LCMS preferred. Strong written and verbal communication skills are required. The ability to work in a team environment and to manage multiple deliverables with competing timelines is required. Desired Qualifications Prior experience developing Analytical methods is strongly preferred. Experience with semisolids (emulsions, creams, lotions and/or gels), solid/ liquid oral drug dosage forms, medical devices and/or combination products is preferred. Experience working in a cGMP environment is strongly preferred. Experience in writing Analytical documentation for NDA/ANDA submissions is preferred What's in it for you Annual base salary for new hires in this position ranges: $82,025.00 - $115,800.00 This takes into account a number of factors including work location, the candidate's skills, experience, education level & other job-related factors. Competitive Benefit Package* Paid Company Holidays, Paid Vacation, Volunteer Time & More! Learning & Development Opportunities Kenvuer Impact Networks This list could vary based on location/region *Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process. Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

Your work will change lives. Including your own. The Impact You'll Make Within Recursion, the clinical development technology ("ClinTech") team is at the forefront of applying technology to increase efficiency in our clinical programs. The ClinTech team supports study planning, execution, and contextualization of trial results. The mission is to dramatically increase the probability of success of our clinical programs. In this role, you will: * Apply statistical programming skills to large databases, including health insurance claims, electronic health records, and real-world human genomics data * Apply causal inference skills to infer relationships between clinical, genomics, and outcomes. * Build relationships with clinical development, clinical operations, biometrics and computational biology teams. * Produce scientifically rigorous evidence that will facilitate decision-making in clinical (and sometimes pre-clinical) programs. The Team You'll Join We are a small, yet highly visible team within Recursion focused on the frontiers of clinical development and also dabble with pre-clinical phases. We carry ourselves with humility, work with speed and curiosity, and hold ourselves to the highest standards of scientific rigor. The Experience You'll Need * Advanced degree in a quantitative discipline. Alternative disciplines will be considered, provided there is work experience in quantitative roles. * At least 6 years of experience in the application of the skills highlighted below will be required. * Expertise with at least one statistical programming language such as Python or R * Strong background in applied statistics, including model fitting and inference from observational data. Hands-on experience developing and validating machine-learning predictive models. * Experience in biotech research and development is required. Working Location & Compensation: This is an office-based role in either Salt Lake City or New York City. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 to $238,400.You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-EP1 The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

JAX/NYSCF is seeking an Associate Research Scientist to join the Functional Genomics team as part of the NYSCF Global Stem Cell Array, a robotic system that automates both iPSC derivation, gene editing, and downstream differentiations. The Associate Research Scientist will contribute to an innovative project centered on phenotyping cardiomyocytes derived from genetically diverse human induced pluripotent stem cell (hi PSC) lines. This work aims to uncover the genetic basis of cardiotoxic responses and to advance predictive models of cardiovascular health through high-throughput functional screening, transcriptomics, and metabolomics. The project is highly collaborative, involving multidisciplinary teams across several institutions. The primary focus of the work you'll do at JAX/NYSCF is developing automated protocols for the derivation/culture of iPSC-derived cardiomyocytes, drug testing, and sample preparation for downstream analyses, including imaging and single-cell sequencing. We want candidates with extensive expertise in human pluripotent stem cell culture, directed differentiation into cardiomyocytes, and functional assays. Experience with cell culture automation (including liquid handling systems) or high-throughput assays is a major plus. This role offers a unique opportunity to work with state-of-the-art screening technologies and automated platforms while contributing to impactful translational research in cardiac safety pharmacology and personalized medicine. As a Associate Research Scientist on the Functional Genomics team, you will: * Design, optimize, and execute experiments to advance a high-throughput iPSC-derived cardiomyocyte platform * Culture and expand iPSCs, generate iPSC-derived cardiomyocytes, and assess cardiomyocyte quality using automated liquid handling systems * Apply strong scientific knowledge and analytical skills to monitor, troubleshoot, and refine experimental workflows in real time. * Independently conduct literature reviews to identify and propose innovative experimental methods, procedures, or technologies * Contribute to project planning by preparing budgets, timelines, and resource estimates for supplies and equipment * Lead multiple, concurrent project components, ensuring progress toward research goals * Evaluate and document results, adapt methodologies as needed, and maintain compliance with regulatory standards * Communicate research goals and findings effectively, guiding team members and informing collaborators on past and future directions * Coordinate with external partners to explore new research opportunities Foster a collaborative environment by sharing expertise and demonstrating openness to learning from others Minimal requirements * PhD +3 years of work experience in Cell Biology, Molecular Biology, Biomedical Engineering, or a related discipline. * Experience with induced pluripotent stem cells or cardiomyocytes/ iPSC-derived cardiomyocytes. * Strong communication skills, with the ability to clearly explain research findings and methodologies in both written and verbal formats, as well as effectively discuss, troubleshoot, and resolve experimental challenges with team members and collaborators. * Ability to follow and adapt protocols accurately. * Excellent documentation and data management practices. Preferred experience: * Experience in differentiation of iPSC culture in cardiovascular lineages. * Exposure to automated cell culture systems (liquid handlers) * Electrophysiology experience is a plus * Flow cytometry Please submit a Cover Letter and CV for application consideration. Pay Range: $65018 - $108857 per year, dependent upon experience. About JAX: The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit ************ EEO Statement: The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.