Senior scientist jobs in Wayne, NJ - 1,101 jobs

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.

We are seeking an Analytical Scientist to join a reputable pharmaceutical manufacturing company to conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples. ** No Relocation, No C2C Candidates** Pay: Up to $45/hour. RESPONSIBILITIES: Conduct and document chemical analyses for raw materials, in-process goods, and finished products. Design, validate, and resolve issues with analytical methods, including HPLC for cleaning verification. Collect and analyze equipment cleaning validation samples. Prepare Certificates of Analysis, analytical reports, and maintain lab documentation. Peer-review records and support OOS or OOT investigations as per SOPs. Ensure compliance with SOPs, cGMPs, and regulatory requirements. Assist with environmental monitoring and other tasks as assigned. QUALIFICATIONS: 2 years hands-on method development experience (HPLC) Knowledge of cGMPs, pharmacopeia (USP, EP), and regulatory standards (21 CFR Part 210/211/820, ISO). Bachelor's in Chemistry-related discipline with 2+ years of analytical lab experience. This job description is a complete list of all desired skills, but not all are required. We strongly encourage candidates who have some of the skills to apply. We look forward to a conversation to learn more about you!

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

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

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

We are seeking a dedicated scientist to perform in vivo studies using mouse models of autoimmunity. You will be responsible for processing organs for immune cell isolation and analysis, maintaining, expanding, and/or modulating cells, and evaluating them using in vitro assays. Your role will include the analysis of data utilizing biological and statistical software such as FlowJo, Excel, and Prism. The position requires close collaborative interactions with various teams across the organization, along with meticulous documentation of experimental procedures and results. Responsibilities + Conduct in vivo studies with mouse models focusing on autoimmunity. + Process organs for immune cell isolation and analysis. + Maintain, expand, or modulate cells and evaluate using in vitro assays. + Analyze data using biological and statistical software like FlowJo, Excel, and Prism. + Collaborate closely with teams across the organization. + Document experimental procedures and results accurately. Essential Skills + Proficiency in in vivo assays, dosing, and injections. + Experience with in vitro techniques and flow cytometry. + Familiarity with biological and statistical software such as FlowJo, Excel, and Prism. Additional Skills & Qualifications + BS/MS degree with 5+ years of industry experience. + Training in the proper handling and care of mice, including blood and tissue sample collection, is strongly preferred. + Experience with tissue culture, cell-based assays, and flow cytometry is desirable. Work Environment Join a highly collaborative team focused on autoimmunity, immune cell biology, and tissue immunity within the Immunology & Inflammation Group. Engage in cutting-edge immunological research contributing to human health. Work in a vivarium and laboratory environment, onsite 5 days per week from 8am to 5pm. Enjoy a dynamic and supportive work culture with state-of-the-art facilities including a gym, cafeteria, and plans for a fully staffed daycare in five years. Benefit from opportunities for growth and comprehensive employee packages including stock options, bonuses, and 401k match. Contract employees receive accrued sick and vacation time, along with observed holidays. Job Type & Location This is a Contract position based out of Tarrytown, NY. Pay and Benefits The pay range for this position is $45.00 - $60.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Tarrytown,NY. Application Deadline This position is anticipated to close on Jan 21, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

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.

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

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

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

The qualified candidate will join the Analytical R&D organization and will contribute to the development of biological therapeutics. Within Analytical R&D, the candidate will provide the analytical testing support for the Conjugation Process group. The qualified candidate will be responsible for general laboratory support. A knowledge and awareness of mechanism of action and the impact of structure on function for bio therapeutic products is desirable. Some experience in colorimetric assays and protein analytical and applying a broad range of analytical techniques (HPLC, CE, Spectroscopy, etc.) is required. A good understanding of chemistry/biochemistry and macromolecule analytics is required. Good communication and writing skills is required. Responsible for general laboratory and operational support. Including providing logistical support for samples and compounds management, ordering supplies and carrying out general bench work activities. Qualifications Only BS degree in Chemistry or Biochemistry Additional Information

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.

JobID: 210666609 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $137,750.00-$195,000.00 The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community. Job responsibilities * Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning * Collaborate with internal and external researchers and with applied engineering teams * Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research * Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals * Participate in relevant top-tier academic conferences to broaden the impact of your contributions Required qualifications, capabilities, and skills * PhD in Computer Science or related field or a MS in Computer Science or related field with at least 3 years of experience in the field * Research publications in prominent AI venues; e.g., conferences, journals * Expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, … * Strong expertise in synthetic data, generative AI, differential privacy, uncertainty quantification, LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series, reasoning and foundational models * Proficiency with rapid prototyping and disciplined software development processes * Expertise in software engineering within collaborative project settings Preferred qualifications, capabilities, and skills * Extensive programming skills in Python (required), Java or C++ (optional) * Interest in problems related to the financial services domain (specific past experience in the domain is not required)

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

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.

Pfizer is a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives. Job Description Job Link: ********************************************************* APPLY HERE! ROLE DESCRIPTION This is a position within the Bacterial Vaccine Research and Technology group in Vaccines Research at Pfizer. The incumbent will be expected to apply bioinformatics methods to biological questions that occur during the vaccine discovery and development process. This will include, but not limited to, detailed analysis of whole genome sequence and transcript profiling from bacterial and viral pathogens, both laboratory and clinical invasive disease isolates. The individual needs to have a good publishing record, with a demonstrated ability to author well written and review external scientific publications and internal technical documents. The incumbent will be expected to prepare and present clear and concise oral presentations to both internal and external audiences. RESPONSIBILITIES • Analysis of whole genome sequence and transcript profiling data in support of all vaccine programs; includes isolates from both surveillance studies and clinical trials • Analyze/mine epidemiological and phylogenetic data - interpret/summarize comparative analysis of internal data with information accessed from external databases • Present data at internal and external meetings • Assist with document preparation for regulatory, patent and scientific presentations and submissions. Prepare written summary reports and presentations as required. Author manuscripts in peer-reviewed scientific journals. • Ongoing evaluation of commercial and web-based database tools designed to archive, search and analyze sequence diversity data; develop and implement alternatives to increase efficiencies • Develop best practices through interactions with colleagues in the Pfizer bioinformatics community • Maintain laboratory notebook in a detailed and descriptive manner • Satisfactorily complete all training in conformance with departmental requirements • Where applicable, perform job responsibilities in compliance with cGMP/GLP and all other regulatory agency requirements • Regular and efficient collaboration with colleagues in a matrixed environment is expected. In some instances, incumbent will also be asked to provide bioinformatic support for vaccine projects outside of the immediate group, both in Pearl River and at other Pfizer research sites. The individual is expected to be an effective team member and regularly communicate his/her commitments and project status to line management. Qualifications Advanced scientific degree (PhD) with minimum of 1 year of relevant post-graduate experience and demonstrated bioinformatics skill sets, preferably applied to infectious disease problems. Alternatively an individual trained in bioinformatics with a BS or MS plus 5 years of experience in a field of science relevant to the position (e.g., Microbiology, Immunology, Infectious Disease). Ability to create/develop programming code a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

Job Title: Scientist II- Immunology Anvia Therapeutics is a dynamic and innovative biotech company dedicated to developing small molecule inhibitors targeted at treating inflammatory and autoimmune diseases. We foster a collaborative environment where scientific excellence and creativity drive our mission to develop impactful medicines. Job Summary We are seeking a highly motivated immunology Scientist to drive hypothesis-driven in vitro immunology research in a fast-paced and innovative drug discovery environment. The successful candidate will design, develop, and execute complex cellular assay systems, including primary human immune cells, patient-derived samples, and disease-relevant cell lines to support immune pharmacology and mechanism-of-action (MoA) studies across inflammatory disease programs such as IBD, rheumatoid arthritis, and dermal inflammation. Responsibilities Key Responsibilities Design and execute hypothesis-driven cellular assays to support immune pharmacology, target validation, and MoA studies. Develop, optimize, and validate complex in vitro assay systems using primary immune cells, patient-derived samples, and disease-relevant or engineered cell lines. Perform functional immune assays including cell activation, proliferation, cytokine production, signaling, and cytotoxicity, using both primary and cell-line-based systems. Contribute to immune pharmacology assessments, including compound potency, pathway modulation, selectivity, and translational relevance. Apply a strong mechanistic understanding of immune and inflammatory signaling pathways to guide assay design and data interpretation. Utilize flow cytometry, ELISA/MSD/other cytokine/chemokine profiling techniques, protein- and signaling-based assays, and related techniques to generate high-quality, reproducible data. Analyze, interpret, and clearly communicate experimental results to project and leadership teams. Troubleshoot and refine experimental systems to improve robustness, scalability, and biological relevance. Maintain accurate experimental records using electronic laboratory notebooks. Collaborate closely with lead discovery, chemistry, translational, and external partners to advance program milestones. Stay current with emerging immunology technologies and incorporate innovative methodologies where appropriate. Qualifications Required Qualifications PhD in Immunology, Biology, Biotechnology, Molecular Biology, or a related field with 2+ years of relevant experience. Hands-on experience developing and executing complex cellular assays using primary immune cells, patient-derived samples, and cell line-based systems. Experience working with functional immune readouts, including flow cytometry-based phenotyping and signaling assays, and cytokine measurement (ELISA/MSD/other). Demonstrated expertise in protein-level analysis of signaling pathways, including Western blotting and related biochemical techniques used to assess pathway activation, inhibition, and mechanism of action. Strong understanding of cell signaling pathways relevant to immune and inflammatory biology. Proven ability to independently design experiments, troubleshoot assays, and manage multiple priorities. Proficiency with data analysis and visualization tools (e.g., GraphPad Prism, FlowJo, Excel). Excellent written and verbal communication skills. Preferred Qualifications Experience supporting immune pharmacology and MoA characterization in early drug discovery. Background in inflammatory or autoimmune disease biology (IBD, RA, dermatology preferred). Familiarity with assay validation, quantitative potency assessment and translational biomarker analysis/ identification. Experience working in a fast-paced, innovative biotech environment. Why Join Us? Be part of a passionate team making a difference in biotech innovation. Collaborative and dynamic work environment. Hands-on experience with state-of-the-art technologies. Opportunities for professional development and advancement. Competitive compensation and benefits. The salary range for this position is $115,000-$150,000 per year. The actual compensation offered will be based on factors such as relevant experience, education, and skills. In addition to base salary, we offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan options. Anvia Therapeutics is an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, creed (religion), color, national origin, sex (including gender identity and sexual orientation), age, disability, marital status, citizenship status, military status, genetic information, or any other characteristic protected by federal, state, or local law. Our employment decisions are based on merit, qualifications, and business needs. We are committed to providing a work environment free from discrimination, harassment, and retaliation, and we undertake affirmative action efforts to promote equal opportunity for all employees and applicants. #LI-DNI