Senior principal scientist jobs in West New York, NJ - 1,503 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.

A leading educational institution in New York is seeking a highly motivated Postdoctoral Researcher to contribute to advanced research in Experimental Solid Mechanics. The successful candidate will investigate material behavior under dynamic loading conditions and utilize advanced experimental techniques. A Ph.D. in relevant fields is preferred, along with strong problem-solving and communication skills. This role offers an exciting opportunity for collaboration in multidisciplinary teams. #J-18808-Ljbffr

Your work will change lives. Including your own. The Impact You'll Make Recursion is a leading TechBio company that is transforming drug discovery by using AI and automation to find new medicines. Its powerful platform combines different technologies to create one of the world's largest proprietary collections of biological and chemical data. By running millions of lab experiments each week and using one of the most powerful supercomputers in the world, Recursion brings together technology, biology, and chemistry to revolutionize medicine. We are looking for an experienced and motivated scientist to join our computational physics team, which is essential for designing molecules in our pipeline by supporting active drug discovery projects. This team also develops and implements cutting-edge methods to keep our platform at the forefront of computational sciences. In this role, you will: * Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success * Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems * Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation * Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community The Team You'll Join You will become an essential member of the Computational Physics team, which supports several phases of drug discovery, from initial hypothesis to lead optimization. The team's goal is to build highly accurate and automated atomistic models and pipelines to obtain crucial molecular-level insights for advancing drug candidates. We employ physics-based and physics-informed models, such as molecular dynamics simulations, absolute and relative binding free energy methods, metadynamics, MM/PBSA, and quantum-mechanical calculations, to enable cost-effective and scalable structure-based drug discovery. We work closely with design teams and collaborate with partners like the AI experts at the Frontier Hub, making our highly accurate methods more accessible and scalable for all. The Experience You'll Need * PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area * Excellent programming skills in Python for tool development * Proven track record in the development of molecular simulation or computational chemistry tools * Basic knowledge of drug discovery processes and the application of molecular simulations in this field * Experience in deploying and orchestrating large-scale jobs using compute clusters or cloud-based infrastructures Working Location & Compensation: This is an office-based, hybrid role in our New York office. 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 $129,000 to $163,300. 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.

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll drive original research at the boundaries of AI, working on new models, algorithms, and architectures for reasoning in complex environments. Your work will shape the scientific agenda of the lab and inform everything we build. You'll have autonomy to pursue fundamental research and see your ideas deployed in real-world settings. Responsibilities Formulate and explore open questions in deep learning, reinforcement learning, and agent-based AI. Develop novel architectures, algorithms, and theoretical insights. Collaborate with engineers to implement, experiment, and iterate rapidly. Publish, present, and contribute to the broader research community. Mentor and support the next generation of technical talent. Requirements Demonstrated track record of impactful AI/ML research (e.g., papers, open-source, or novel deployments). Deep expertise in at least one of: LLMs, RL, agent-based systems, generative modeling, theory of intelligence. Strong mathematical background (probability, optimization, statistics). Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX). Ability to turn theory into robust, practical code. Up-to-date on the latest research in LLMs from reading papers, articles, or re-implementing breakthroughs. Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

COMPANY Volastra Therapeutics, Inc. is a clinical-stage oncology biotech company based in New York City, pioneering novel approaches to treating cancer by targeting chromosomal instability (CIN), a unique vulnerability in cancer. Since its founding in 2019, Volastra has grown to support ongoing discovery efforts and a growing clinical organization. Our lead pipeline programs focus on two distinct inhibitors of KIF18A, a novel therapeutic target. VLS-1488, internally discovered, entered clinical trials in Q4 2023 for the treatment of advanced cancers. Sovilnesib, in-licensed from Amgen in 2023, re-entered the clinic in Q2 2024. Both assets have been granted Fast-Track Designation by the FDA. Volastra is also developing new techniques to understand the biology of chromosomal instability and leveraging these insights to drive forward a preclinical pipeline of therapies against innovative targets. Volastra is backed by top US and European venture firms such as Arch, Polaris, Vida, Droia, Catalio, and B Capital, alongside strategic investment from Eli Lilly. In addition to venture funding, Volastra has established partnerships with oncology leaders. Our senior leadership team is highly experienced, supported by a world-class advisory board. We are headquartered in West Harlem, New York City, within easy reach of Columbia, Cornell, Memorial Sloan Kettering, and surrounding areas. Please visit ****************** for more information. JOB DESCRIPTION: The role of Scientist of Discovery Science will report to the Senior Scientist/Senior Lab Manager in close collaboration with the Chief Scientific Officer and the rest of the Discovery Team, and work towards the successful execution of preclinical development programs. As a scientist, you will play a central role in turning foundational CIN biology into new medicines. You will design, execute, and interpret rigorous experiments that validate targets, elucidate mechanism of action, and accelerate progression from hit/lead to in vivo proof‑of‑concept. This is a bench‑forward position for a creative, self‑directed experimentalist who thrives in a fast‑moving biotech setting and loves collaborating across chemistry, biochemistry, DMPK, in vivo pharmacology, and computational biology. Volastra is a fast-paced biotech company of passionate employees, and there is ample opportunity for the ideal candidate to grow and develop with the organization. Individuals will have, from time to time, the opportunity to gain experience with projects outside their direct scope of work. Job is based in NYC and requires a minimum of 80% in office time. RESPONSIBILITIES: * Participate in key discovery workstreams from target validation through early pharmacology; design clear, decision‑driving experimental plans and timelines. * Interrogate mechanism using genetic perturbation (e.g. CRISPR/Cas9, RNAi), rescue, pathway mapping, and combination studies aligned with CIN biology. * Develop and optimize cellular assays to quantify phenotype and mechanism. * Build translationally relevant target‑engagement and PD assays to enable SAR and inform dose/PK-PD modeling for in vivo studies. * Track record of successfully managing external projects with CRO's from scoping to final data delivery * Work effectively with colleagues across the team to participate in adjacent discovery-related efforts * Provide clear updates to Discovery, Preclinical, and Leadership; write technical reports, support patent filings, and prepare data packages for milestones. REQUIREMENTS: * PhD in Molecular/Cell Biology, Biochemistry, Cancer Biology, Pharmacology or related field (or MS/BS with commensurate depth of industry experience). * 5+ years of hands-on lab experience with a range of relevant research techniques including cell-based assays and molecular biology. In vivo mouse experience is strongly preferred * Understanding of the drug development process from target identification to marketing authorization is strongly encouraged * Excellent communication, organizational, and problem-solving skills * Ability to collaborate well with team members PREFERRED EXPERIENCE: * Direct experience in CIN‑relevant biology (mitosis, microtubules/kinetochore function, replication stress, DNA‑damage response) or image‑based phenotyping * In vivo oncology familiarity (xenograft/PDX syngeneic models), PK/PD thinking, and translational biomarker awareness for discovery‑to‑development continuity. Salary Range: Approximately $130,000 - $150,000 which may vary depending on qualifications, experience, and ultimate leveling. Leveling outside of that stated may be considered for exceptional candidates on a case-by-case basis.

Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform. As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: This position offers an opportunity to work in a highly-collaborative environment with world-leading scientists developing and applying state-of-the art profiling technologies to a diverse set of projects at the intersection of the immune system and disease. The successful candidate will work in a fast-paced team and will interface closely with a multidisciplinary team of immunology, molecular biology, and bioinformatics scientists. Specifically, they will contribute to the Molecular Profiling team performing advanced molecular analyses on a diverse set of clinical and experimental samples. The successful candidate will be an excellent team player, agile in thought, energetic, and willing to learn new methods and skills. Location: New York City (On-site role) What will you do? * Augment efforts of teams using a wide range of techniques including, but not limited to immune cell isolation and processing from human specimens, cell cultures and in vitro model systems * Domain expert with single cell genomics methods, and proven experience of innovation in this field (sample optimization, protocol development). * Operation, calibration and maintenance of flow cytometers, cell sorters and related equipment and associated computational hardware * Maintenance of a complete, accurate, and timely electronic record of all experiments using an informatics management system. * Active participation in cross-functional team meetings and effective communication with other members of the lab, computational biology, and software team * Expected to deliver impactful presentations to other colleagues including senior leadership Requirements Required qualifications: * 4-6 years of experience in Molecular Biology or Immunology; * MS with 2-4 years relevant experience, PhD with 1+ years of post-PhD experience is preferred. * Experience with protocols for sample and library preparation for single cell multiomics and familiarity with NGS processes. Additionally, familiarity with high-throughput, automated single cell profiling workflows is preferred. * Experience working with tissue samples, including single cell dissociation. * Experience with sectioning, staining (immunohistochemistry, fluorescence microscopy, in situ hybridization), imaging and basic image analysis is a distinct advantage * Familiarity with high throughput lab data management (e.g. Benchling) * Strong analytical skills, problem solving ability, and innovation aptitude required * Must be willing to discover and learn new software and technology applications quickly * Must have strong attention to detail and an ability to multitask * Ability to collaborate closely with interdisciplinary individuals from a broad range of backgrounds * Ability to work independently with minimal supervision * Ability to work successfully in a fast-paced environment * Excellent interpersonal skills and ability to effectively work as part of a team are essential * Excellent organization and time management skills Desired personal traits: * You want to make an impact on humankind * You prioritize "We" over "I" * You enjoy getting things done and striving for excellence * You collaborate effectively with people of diverse backgrounds and cultures * You have a growth mindset * You are candid, authentic, and transparent Compensation: This position offers a salary typically between $105,000 - $140,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills. * Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform SparkHire. You can read more about how we process personal data here: ***************************************

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.

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

& Sons: Schweid & Sons is a family-owned and operated premium ground beef company with a proud heritage spanning four generations. We supply top-quality beef to Retail, Foodservice, and National Account customers across the U.S. and are committed to quality, customer service, and innovation in protein manufacturing. Summary: Are you a creative and driven professional with a passion for developing innovative premium protein products? Schweid and Sons is looking for a Food Scientist to add to our team. Reporting to the Director of Innovation, you will lead innovation and product development projects and initiatives, formulation, process improvement, ingredient, recipe and nutritional development, and provide food science strategy and guidance to take the company into the future. This role focuses on developing, improving, and ensuring the safety and quality of premium protein products, from fresh cuts to processed meats. The ideal candidate will have an understanding of meat science, food safety regulations, and product development processes within the beef and other protein industries. To be successful in this role, you must have strong food science, product development experience in protein, ability to improve and build repeatable processes, experience in meat operations, and knowledge of regulatory requirements. You should be comfortable leading key projects, working independently to ensure deadlines are met while balancing priorities. This is an incredible opportunity to join a well-established food manufacturing company that prides itself on putting its team members first by providing an incredible culture, amazing benefits, and commitment to innovation. Job Functions /Responsibilities: * Manage innovation projects, communicate, and coordinate with internal stakeholders as well as customers. Research and develop new products, including raw, fresh, cooked, cured, and value-added items. * Improve existing products in terms of taste, texture, shelf life, yield, and nutritional profile. * Design and conduct experiments on meat formulations, marination, cooking processes, and preservation techniques. * Organize sensory panels and conduct rigorous product testing to ensure we deliver a great tasting product. * Ensure all products comply with USDA, FDA, HACCP, and company food safety standards. * Conduct shelf-life testing and sensory evaluations of beef products. * Analyze raw materials and finished products for microbial, chemical, and physical properties. * Collaborate with procurement, QA, production, and marketing teams to bring new products to market. * Monitor trends in meat science, consumer preferences and processing technologies. * Prepare responses to customer inquiries with adequate scientific and technical evidence and provide solutions. * Complete the verification of the implementation of standard operating procedures for the laboratory or kitchen facilities. * Responsible for maintaining accurate records of formulations, procedures, and processes in appropriate software systems and platforms. Qualifications / Experience: * Bachelor's degree in Food Science or related field or equivalent experience. * USDA, FDA, HACCP and SQF experience. * 3 - 5 + years of Food Science in the protein category required. * 2 + years related protein experience required, preference for beef experience. * Food/nutrition manufacturing experience required. * Fundamental understanding of regulatory compliance and nutritional calculation software. * Understanding of daily lab and production processes. Expertise in raw material handling and stability. * Ability to independently formulate products based on consumer and customer requirements, identifying potential issues and promptly alerting managers or customers. Experience in food concept development and prototype improvement. * Some culinary and recipe development experience is a plus. * Able to effectively analyze data to develop presentations and reports. * Must be proficient in the use of Microsoft Office (Excel, Outlook, Word, and PowerPoint). What We Offer * The expected compensation for this role is $90,000 - $120,000 per year, depending on experience and qualifications. Final compensation will be discussed during the interview process. * Time Off: PTO, Safe & Sick Time, and Paid Holidays. * Health Benefits: Medical, vision, dental, HRA and voluntary disability benefits. * Financial Benefits: 401(k) + employer match and life insurance. * Location: This is an on-site role located in either East Rutherford, NJ or College Park, GA. * Environment: Office environment.

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 The individual will perform complex synthesis and purification of biomolecules and derivatives as well as conduct characterization assays. The individual is also expected to participate in team meetings, provide update and contribute to planning activities to achieve program deliverables. Interaction with other groups/departments is expected. Bench level experience with protein purification, synthetic organic chemistry and/or protein isolation, purification is desirable but not expected. Qualifications BS OR MS Additional Information Best Regards, Anuj Mehta ************

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 Strong expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, … Optional: expertise in synthetic data, generative AI, protecting our customers clients and institutional knowledge (e.g., differential privacy, machine unlearning, membership/reconstruction attacks), 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)

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

Scientist II, Immuno-Oncology FUNCTIONAL AREA: REPORTS TO: Team Leader EXEMPT/NON-EXEMPT In the Immuno-Oncology team, we are looking for an enthusiastic, inventive and team-oriented scientist to join us in the creation cutting-edge cellular treatments for cancer and other serious diseases. We are looking for colleagues with a strong background in one or multiple areas including: Immuno-Oncology, Oncology or Immunology, and who possess strong expertise in T-cell biology, intricate multicolor flow cytometry, and in vivo mouse models. The ideal candidate would have a remarkable scientific record, excellent communication and interpersonal abilities, be passionate about scientific research, and excel at pushing boundaries for innovation. We value candidates who are adept at problem-solving and approach difficulties with optimism. The chosen individual will join a dynamic, creative and goal-oriented atmosphere dedicated to making impactful advances in the way we treat disease. Responsibilities Responsibilities include, but are not limited to: Develop innovative adoptive cell therapies to treat cancer or other serious diseases. Design, execute, and analyze in vitro experiments (some examples include engineering of CAR T-cells, cytotox, ELISA, proliferation assays, flow cytometry analysis, cell culture). Design, execute and analyze in vivo preclinical studies (some examples of procedures include tumor implantation, adoptive cell therapy administration, mice dosing through different administration routes, tumor monitoring, blood collection and multiple tissue analysis). Efficiently and clearly present and communicate scientific data to the team, cross-functionally and at external meetings. Pro-actively suggest and evaluate innovative cell engineering solutions and develop new assays to enhance the company's intellectual portfolio and contribute to peer-reviewed publications. Stay up to date with external scientific research from academic and industry institutions. Keep timely detailed documentation of experiments. Effectively plan and manage projects and deliverables to meet deadlines. Foster cross-functional collaborations and train other colleagues. Prioritize company objectives and work towards shared success. Other duties as necessary to ensure the daily operations of the lab and support the team. Core Competencies Keen eye for detail, exceptional problem-solving abilities, and a commitment to producing robust and high-quality scientific data for internal/external reports, publications and IND-enabling studies Strong scientific creativity and analytical thinking skills. Curiosity and drive to initiate and advance programs to treat diverse important diseases. Excellent written, oral and interpersonal communication skills. Capable of adhering to SOP and develop new protocols. Works well autonomously and collaboratively with other team members and cross-functionally. Flexibility and ability to adapt positively to a dynamic environment with changing priorities. Pro-active, transparent and adaptable team-player with a professional demeanor who works well under pressure. Comfortable operating in a fast-paced, small-midsized company environment. Requirements PhD in oncology, immunology, or equivalent (minimum of 3 years of experience after PhD in related role). Experience in human T-cell biology, immuno-oncology and knowledge in cell engineering technologies. Hands on experience and troubleshooting proficiency in immunology assays including immune cell isolation, multicolor flow cytometry, immune cell and cytokine profiling assays using conventional and next-generation analytical methods. Demonstrated experience designing and executing mouse tumor model experiments including mouse handling (injections- IV, SC, IP- and organ dissection). Excellent abilities to analyze and synthesize data for different audiences and report types while supporting decision-making processes. Proficiency in molecular biology as well as analyzing and manipulating DNA/protein sequences using bioinformatics software is desired. Basic knowledge of gene editing and next-generation sequencing technologies is a plus. Experience in working in matrixed environments and in project management is desired. Strong record of scientific publications and demonstrated scientific curiosity. Willingness to quickly adapt, innovate, discover new approaches, collaborate and support the team towards shared company goals. Candidates should be authorized to work in the U.S., preferably without the need for current, or future, sponsorship. Role is onsite and based in New York, NY Physical Requirements Sedentary - primarily involves sitting and/or standing. Laboratory work performed within a BSL1 and BSL2 environments. Communicates with others daily to exchange information. Salary Range (105,000 to 115,000 USD), dependent on skills and experience

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health's diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine. We're seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better. Here's a collection of articles about our product, mission, recent funding round, etc. Job Description We're hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts. You can expect to: Design and implement state-of-the-art machine learning techniques to advance Layer Health's research agenda (in areas such as information extraction, multimodal reasoning, and summarization). Propose new agentic methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning. Collaborate with the broader engineering team to ship performant products that meet user needs. Cultivate and foster a robust and thoughtful R&D culture that drives the company forward. We look for: Exceptional methodological research background and experience, including but not limited to: A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning. High-impact, early-author publications at top peer-reviewed ML journals/conferences. Demonstrated record of delivering real-world impact from start to finish- with the ability to design, develop, and ship innovations. Strong programming skills and fluency with modern machine learning/LLM stacks (deep learning libraries e.g. PyTorch, Jax). Past experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques). A strong communicator who thrives in a customer-focused, fast-paced environment. An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. Past experience in healthcare of life sciences is a plus, but not required. We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome). Expected compensation range for this role is $200,000-250,000, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. Layer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. Join us and help us transform healthcare with AI.

Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks or months to run, and as a result it costs millions of dollars and takes years to design a molecule that is ready for testing in humans. At Inductive Bio, we're using AI to build in silico models that can more accurately predict how molecules will behave in experiments. By predicting complex molecular properties directly from the molecular structure, our platform helps scientists make better decisions faster-ultimately bringing safer, higher-quality medicines to patients more quickly. We are enabled by a unique and growing proprietary data set, and we are already applying our methods to dozens of active drug discovery programs. Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery. We are seeking Machine Learning Scientists to join our talented, ambitious, and kind team. You'll have the opportunity to innovate on methods, work with leading drug discovery scientists, and apply your work immediately to drug programs at some of the most innovative biotechs in the world. As an early machine learning scientist at a rapidly-growing startup, you'll have the opportunity for high impact while learning and growing with the company. What you'll do: Develop machine learning models to predict molecular properties from chemical structures Develop novel algorithms for generating ideas for new molecules Build agents that can synthesize complex information from drug programs and apply that information strategically toward molecular optimization Get your hands dirty by diving deep into our unique, proprietary dataset to iterate on modeling ideas and improve model performance Collaborate closely with chemists and software engineers to integrate models into our software platform, which is used by drug discovery scientists across the industry Build and optimize scalable infrastructure for model training, deployment, and monitoring Engage directly with our scientific users, incorporating their feedback into the product Contribute meaningfully to product strategy and company direction Who you are: You have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches You are proficient in standard Python-based ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) You are comfortable writing high-quality, reusable code and productionizing models for serving in the cloud You are excited to dive deep into the science and practice of drug discovery You have exceptional written and oral communication skills Working at Inductive At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.

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

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.

Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with passion and creativity, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions. There's much to learn and many to learn from, with more than 16,000 employees around the world to explore ideas and ambitions with. Every day, your talent, your innovative spirit, and your determination will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature. Senior Toxicologist - Specialist in Developmental and Reproductive Toxicology (DART) You will play an important role as our in-house expert on Developmental and Reproductive Toxicology (DART), strengthening our safety science capabilities, ensuring compliance with global regulatory standards, and contributing to innovative approaches for reproductive and developmental safety assessment under a regulatory landscape that is quickly evolving. You will help create product safety documentation for registration with relevant authorities and provide scientific guidance to all partners. Reporting to the Head of Fragrance Human Safety Sciences, you will be based close to one of our Regulatory Fragrance Offices (Paris, Ashford, or Ridgedale (NJ, USA)), working four days onsite and one from home each week. Main Responsibilities Product Safety & Scientific Leadership Be Givaudan's internal expert for Developmental and Reproductive Toxicology (DART). Provide excellence in human health safety to demonstrate the safe use of our ingredients and products to customers and regulators. Plan, coordinate, and oversee pre-clinical DART studies following OECD, ICH, and other regulatory guidelines. Define and monitor safety testing strategies in compliance with REACH, TSCA, and other global regulations. Work with CROs on study monitoring, reporting, and strategic planning; past study director experience in reputed toxicology CROs is a strong asset. Contribute to the development and application of New Approach Methodologies (NAMs) for reproductive and developmental toxicity testing (in vitro, in silico, and alternative models). Regulatory Policy & Advocacy Provide Givaudan management with expert guidance on complex regulatory and safety issues. Interpret scientific and technical data affecting Givaudan's global regulatory toxicology activities. Represent Givaudan on industry safety committees and contribute to trade association initiatives. Product Documentation & Registration Lead efforts to obtain relevant toxicology or regulatory data needed to support product registrations. Act as the liaison between R&D project teams and product safety functions. You - Your Profile Includes PhD required in toxicology, biochemistry, chemistry, or related scientific discipline. 10-15 years of expertise in pre-clinical studies within the field of Developmental and Reproductive Toxicology/Biology. Demonstrated track record in planning, coordinating, and accomplishing DART studies following OECD, ICH, and other regulatory guidelines. Past experience as a DART-specialized study director in a reputed toxicology testing CRO Familiarity with digital fundamentals (AI, machine learning for advanced data analysis). Familiarity with global regulatory frameworks relevant to reproductive and developmental toxicity. Fluent in English (spoken and written). For US: Salary expectation based on technical experience: 120,000 - 160,000 usd Location: The position will be based on the candidate's current location (UK, France, or US) Our Benefits: Annual bonus. Medical insurance coverage. Career Development Opportunities with access to many virtual learning sessions International working environment #LI-Onsite #ZR At Givaudan, you contribute to delightful taste and scent experiences that touch people's lives. You work within an inspiring teamwork culture - where you can thrive, collaborate and learn from other talented and passionate people across disciplines, regions and divisions. Every essence of you enriches our world. Diversity drives innovation and creates closer connections with our employees, customers and partners. Givaudan embraces diversity and is committed to building an inclusive environment where everyone impacts our world.