Senior scientist jobs in Hasbrouck Heights, NJ - 1,128 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

Job Title: Biological/Chemical Scientist Pay rate: $44/hr.W2 Duration: 6 Months With possible Extension Shift timings: 9AM -5 PM Ensures analyses of materials and ingredients.* Ensures performing of prescribed chemical or biological procedures, in production environment.* Ensures adherence to established internal rules and guidelines, and to EHS standards. * Ensures taking protocols and storing in appropriate files. * Contributes to implement new testing, mixing procedures. Impacts: Needs professional technological, economical or scientific know how, methods, tools and principles, and applies to differing and variable situations. Needs to solve assigned, non-routine tasks, to contribute to projects or assignments, or to support development of guidelines, methods, tools or business processes. Key Responsibilities: "Experienced Professional" These positions are expected to contribute to and deliver business processes or detailed technology solutions, in a self-managed and target-oriented manner, and thus contributes to team results. Positions focusing on analysing, developing, testing or implementing processes, technologies and systems in their specific field of expertise, from first principles. Targets are short to medium term (best to be characterized as milestones), and achievements are monitored. They may provide functional advice to and integrate services of operational staff or semi-professional colleagues. Typically, these functions review to 2 to 5 years of relevant experience in their field of work and qualification. Experience: 2+ years or Master Entry. Knowledge: Good knowledge in a technical field or business method including the basic theoretical background. Recommended experience in pipetting, data analysis, and instrument/lab maintenance. Develops basic business understanding. Contributes to team effort, awareness of expected value add. May improve processes, business methods or technical components

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_*************

JobID: 210582604 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $128,250.00-$195,000.00 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

Kenvue is currently recruiting for a: Scientist, Self Care R&D Product and Process Development 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 Self Care RnD Location: North America, United States, New Jersey, Summit Work Location: Fully Onsite What you will do We are seeking a motivated and experienced Senior Scientist to join Self-Care Product and Process Development team. Reporting directly to the Associate Director, this role focuses on supporting the development and optimization of consumer health products, with an emphasis on over-the-counter (OTC) medications and supplements. The Senior Scientist will play a critical role in ensuring product efficacy, safety, and compliance with regulatory standards. The ideal candidate will have a strong background in formulation science, process development, and experience in GxP compliance. Key Responsibilities: Product and Process Development: Lead consumer centric formulation and development of consumer health products, namely OTC medications, ensuring they meet quality and efficacy standards. Determining technical objectives and evaluate criteria for obtaining resolution in consultation with manager. Identify and resolve technical challenges in product and process development, utilizing sound scientific principles and experimental data with general guidance. Support the optimization of manufacturing processes to enhance efficiency, scalability, and robustness. Project Management: Contribute to project planning, timeline management, and project milestone deliverables to ensure successful project. Collaboration: Work closely with cross-functional teams, including R&D, Quality Assurance, Regulatory Affairs, and Manufacturing, to achieve project goals. Stay up-to-date with the latest scientific advancements and incorporate them into research projects Documentation: Prepare and maintain detailed documentation for product development processes, including experimental protocols, batch records, and technical reports. What we are looking for Required Qualifications Degree in Chemistry, Pharmaceutical Sciences, Chemical Engineering, Materials Engineering, Biomedical Engineering, Biophysics, or related field with 0-4 years of relevant experience. Knowledge of formulation science, process development, and foundational understanding of regulatory requirements for OTC medications and dietary supplements. Proficiency in analytical techniques and methods used in product development and quality control. Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely. Ability to work collaboratively within a multidisciplinary team and across various functions. Strong analytical and problem-solving skills Desired Qualifications Experience in product and process development within the consumer health industry. Experience in solid dose formulation and manufacturing (tablets, capsules, soft chews, gummies). Experience in formulation of liquid and semi-solids for topical and/or nasal application Demonstrated ability to manage multiple projects and work effectively in a fast-paced environment. Proficiency in project management skills, including timeline management, budget oversight, and team coordination. 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.

Kenvue is currently recruiting for a: Scientist, Self Care R&D Product and Process Development 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 Self Care RnD Location: North America, United States, New Jersey, Summit Work Location: Fully Onsite What you will do We are seeking a motivated and experienced Senior Scientist to join Self-Care Product and Process Development team. Reporting directly to the Associate Director, this role focuses on supporting the development and optimization of consumer health products, with an emphasis on over-the-counter (OTC) medications and supplements. The Senior Scientist will play a critical role in ensuring product efficacy, safety, and compliance with regulatory standards. The ideal candidate will have a strong background in formulation science, process development, and experience in GxP compliance. Key Responsibilities: Product and Process Development: Lead consumer centric formulation and development of consumer health products, namely OTC medications, ensuring they meet quality and efficacy standards. Determining technical objectives and evaluate criteria for obtaining resolution in consultation with manager. Identify and resolve technical challenges in product and process development, utilizing sound scientific principles and experimental data with general guidance. Support the optimization of manufacturing processes to enhance efficiency, scalability, and robustness. Project Management: Contribute to project planning, timeline management, and project milestone deliverables to ensure successful project. Collaboration: Work closely with cross-functional teams, including R&D, Quality Assurance, Regulatory Affairs, and Manufacturing, to achieve project goals. Stay up-to-date with the latest scientific advancements and incorporate them into research projects Documentation: Prepare and maintain detailed documentation for product development processes, including experimental protocols, batch records, and technical reports. What we are looking for Required Qualifications Degree in Chemistry, Pharmaceutical Sciences, Chemical Engineering, Materials Engineering, Biomedical Engineering, Biophysics, or related field with 0-4 years of relevant experience. Knowledge of formulation science, process development, and foundational understanding of regulatory requirements for OTC medications and dietary supplements. Proficiency in analytical techniques and methods used in product development and quality control. Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely. Ability to work collaboratively within a multidisciplinary team and across various functions. Strong analytical and problem-solving skills Desired Qualifications Experience in product and process development within the consumer health industry. Experience in solid dose formulation and manufacturing (tablets, capsules, soft chews, gummies). Experience in formulation of liquid and semi-solids for topical and/or nasal application Demonstrated ability to manage multiple projects and work effectively in a fast-paced environment. Proficiency in project management skills, including timeline management, budget oversight, and team coordination. 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.

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

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

Arxada is a global leader in microbial control, committed to solving the world's toughest preservation challenges through cutting-edge science. We aim to help our customers develop more sustainable solutions that protect and maintain the health and wellbeing of people, extend the life of vital infrastructure, and work to reduce ours and our customers' ecological footprint. We are seeking a Data Scientist with a strong background in chemistry or biological sciences to support our R&D team's artificial intelligence platform development. The successful candidate will be responsible for transforming complex microbiological data into a standardized digital format, and building dashboards to interact with the data, with suitability for artificial intelligence platform usage. Role Summary We are seeking an AI scientist who can collaborate closely with a data scientist to design, build, and deploy AI/ML modules that accelerate biocide formulation development, improve predictive decision-making (e.g., stability, efficacy, compatibility), and shorten lab iteration cycles. This role sits at the intersection of formulation chemistry/microbiology, experimental design, and data/AI-driven R&D. You will own end-to-end problem framing, data readiness (with LIMS/ELN), model-user requirements, and lab validation of AI outputs-turning models into actionable tools for bench scientists. Key Responsibilities AI/ML Module Co-Development Convert business/scientific questions into model requirements (e.g., predict stability phase separation, viscosity drift, microbial kill under specific conditions, raw-material compatibility, cost/COGS optimization). Specify and prioritize features/inputs (formulation composition, physical-chemical properties, process parameters, storage conditions, raw-material attributes). Partner on model selection & validation (regression/classification, Bayesian optimization, active learning, multi-objective optimization). Define acceptance criteria (accuracy, applicability domain, explainability). Lead lab validation loops: design confirmatory experiments, refine datasets, and iterate with the data scientist. Work with Data Scientists to generate high-quality datasets for model training/validation. Define and develop code to utilize LLMs to optimize for target product profiles (efficacy, stability, cost-in-use, sensory, compatibility, sustainability constraints). Translate lab findings into mechanistic and statistical insights that inform model features and constraints. Support deployment of user-facing tools (dashboards, notebooks, apps); ensure interpretability and ease of adoption. Data Readiness & Governance Define metadata schemas for formulations, processes, and test methods; ensure data lineage and versioning. Collaborate with IT/data engineering on pipelines from ELN/LIMS to analytics platforms (e.g., Azure ML/Databricks/Power BI). Cross-Functional Influence & Change Management Train and coach bench scientists on using AI tools in everyday formulation work. Create clear communication artifacts (model cards, SOPs, one-pagers, and decision trees). Drive efficiency where AI can eliminate iterations, reduce time-to-lab, and de-risk scale-up. Minimum Qualifications MS/PhD in Chemical Engineering, Chemistry, Materials Science, Pharmaceutical Sciences, or related; or BS with 7+ years relevant experience. 3-5+ years in formulation development (biocides, preservatives, antimicrobials, or adjacent fields such as HI&I, coatings, personal care, agrochemicals, pharmaceutical development). Strong experimental design/DoE and statistical analysis skills (JMP, Design-Expert, R, Python, or similar). Demonstrated experience collaborating with data scientists on predictive modeling and/or optimization projects. Proficiency with ELNs/LIMS and data hygiene-able to structure datasets for modeling and ensure reproducibility. Preferred Qualifications Cheminformatics/QSAR/QSPR familiarity (e.g., molecular descriptors, RDKit) and property estimation. Exposure to Bayesian optimization, active learning, or multi-objective optimization for formulations. Experience with model interpretability (SHAP/feature importance) and applicability domain. Hands-on experience with Azure ML, Databricks, or similar ML platforms; dashboarding with Power BI / other. Background in chemistry Knowledge of sustainability-by-design (biobased actives, VOC limits, hazard/risk assessment). Core Competencies Scientific Rigor & Problem Framing: Converts vague needs into testable hypotheses and model-ready requirements. Data Literacy: Interprets model metrics, understands overfitting, and knows when to trust vs. test. Collaboration & Influence: Bridges R&D, Regulatory, Data Science, and Operations. Execution & Ownership: Bias to action; closes the loop from model insight to validated lab outcome. Adaptability & Learning Agility: Comfort with rapid iteration and evolving toolchains. The expected salary range for this role is 55.000$ - 70.000$, but specific employee compensation may vary depending on factors including experience, education, training, licensure, certification, location and other job-related, non-discriminatory factors permitted by law. This role is also eligible to earn a short-term incentive bonus and the following benefits: 401(k) plan, medical, dental, vision, life, and disability insurance, paid time off, paid holidays and paid sick leave. US01

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.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data. What You'll Do: We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third. Other duties as assigned or needed. Skills You'll Need: 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to reason through quantitative problems and communicate effectively with trading researchers Reliable and predictable availability Bonus Points Experience with HPC and distributed large model training Experience with GPU performance optimization (CUDA or ROCm) Experience with end-to-end model development, especially in LLMs Prior academic publications and/or contributions to open-source AI research Strong opinions on best practices in ML research, tooling, and/or infrastructure Benefits - Discretionary bonus eligibility - Medical, dental, and vision insurance - HSA, FSA, and Dependent Care options - Employer Paid Group Term Life and AD&D Insurance - Voluntary Life & AD&D insurance - Paid vacation plus paid holidays - Retirement plan with employer match - Paid parental leave - Wellness Programs Annual Base Salary Range $200,000-$300,000 USD