Senior scientist jobs in Jersey City, NJ - 1,147 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

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 We are seeking a highly skilled and innovative RD&A Scientist to join our Beverage team. This role is responsible for developing and optimizing beverage formulations across various formats including sparkling, still, juice, and functional beverages. The ideal candidate will bring deep technical expertise, strong sensory capabilities, and a collaborative mindset to drive product innovation and meet customer expectations. Key responsibilities Develop and prepare beverage formulations, syrups, and concentrates at lab and pilot plant scale. Test and refine formulations to meet specific taste profiles and regulatory standards. Customize beverage ingredients independently or within cross-functional teams. Calculate calories and understand the role of sweeteners and nutrients in formulations. Facilitate sample shipments for internal and external stakeholders. Support beverage and taste development under GMP and safety standards. Manage multiple tasks and deadlines with speed and accuracy. Master formulation techniques for RTD (Ready-to-Drink) and RTM (Ready-to-Make) formats. Apply exceptional sensory skills to define and discriminate flavor profiles under tight timelines. Demonstrate a deep understanding of beverage processing techniques and nutritional value calculations. Communicate formulation concepts effectively in commercial settings with customers. Apply mathematical skills to work with dilutions, percentages, and ppm calculations. Exhibit self-motivation and resourcefulness in solving complex formulation challenges. Qualifications and skills Bachelor's Degree in Food Science, Biology, Chemistry, or a related Applied Science. Minimum of 5 years of experience in beverage development and formulation. Strong scientific and analytical aptitude. Proficiency in Microsoft Office; experience with SAP is a plus. Excellent problem-solving skills and ability to work independently and collaboratively. The typical hiring range for this role is $75,602 to $123,432 annually and is based on several factors including but not limited to education, work experience, certifications, location, etc. In addition to your pay, Kerry offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and retirement contribution (all benefits and incentives are subject to eligibility requirements). 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.

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

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

We are seeking an accomplished Senior Credit Researcher to join our investment team and drive high-conviction, alpha-generating ideas in corporate credit markets. This role requires a hybrid skill set: deep fundamental credit expertise coupled with advanced quantitative and analytical capabilities. The successful candidate will combine rigorous company-level research with data-driven insights to uncover opportunities across the credit spectrum. Key Responsibilities: Alpha Generation Conduct fundamental research across corporates and sectors, identifying relative value and mispricings. Develop investment theses supported by both traditional analysis and quantitative validation. Generate actionable recommendations across bonds, tranches, CDX. Research & Analysis Build detailed financial and valuation models, including scenario-based stress testing and capital structure simulations. Apply quantitative techniques (e.g., factor modelling, regression analysis, statistical testing) to enhance investment conviction. Leverage large datasets - including alternative and market microstructure data - to uncover signals and trends. Integrate macroeconomic and micro credit drivers, sector dynamics into both qualitative and quantitative research frameworks. Collaboration & Leadership Partner with PM, traders, and risk management to align research with portfolio construction and risk-adjusted return goals. Collaborate with quantitative researchers and data engineers to refine analytical toolkits. Represent credit research perspectives in firmwide investment discussions. Qualifications: 7-12+ years of experience in fundamental credit research with exposure to quantitative methods; hedge fund or credit-focused buy-side experience preferred. Proven track record of generating profitable investment ideas. Strong foundation in corporate finance, credit valuation, and capital structure analysis. Proficiency in Python, R, or MATLAB for modelling, statistical analysis, and data manipulation. Familiarity with databases, APIs, and data science workflows (SQL, Pandas, NumPy, etc.). Excellent communication skills with the ability to present complex analysis clearly and persuasively. Commercial mindset and disciplined risk awareness. Preferred Experience: Coverage in high-yield, distressed, or special situations credit. Familiarity with quantitative factor models, machine learning applications, or statistical arbitrage concepts applied to credit. Experience with large/alternative datasets (credit card, supply chain, satellite, etc.) and integration into research processes. Advanced degree in a quantitative or financial discipline (CFA, MBA, MSc, PhD) desirable but not essential. What We Offer Competitive compensation structure with performance-based upside. The opportunity to drive research impact at the heart of a high-conviction, performance-driven hedge fund. Access to cutting-edge data, tools, and infrastructure to support research innovation. A collaborative environment that prizes intellectual rigour and creativity.

Up To $1,000 Paid Depression Study! Those who Currently Experience At Least TWO Symptoms of Depression And the Current Depressive Episode Started More Than 4 Weeks Ago May Qualify For The Study!

Come work with us: Metropolitan Commercial Bank (the "Bank") is a full-service commercial bank based in New York City. The Bank provides a broad range of business, commercial, and personal banking products and services to individuals, small businesses, private and public middle-market and corporate enterprises and institutions, municipalities, and local government entities. Metropolitan Commercial Bank was named one of Newsweek's Best Regional Banks and Credit Unions 2024. The Bank was ranked by Independent Community Bankers of America among the top ten successful loan producers for 2023 by loan category and asset size for commercial banks with more than $1 billion in assets. Kroll affirmed a BBB+ (investment grade) deposit rating on January 25, 2024. For the fourth time, MCB has earned a place in the Piper Sandler Bank Sm-All Stars Class of 2024. Metropolitan Commercial Bank operates banking centers and private client offices in Manhattan, Boro Park, Brooklyn and Great Neck on Long Island in New York State. The Bank is a New York State chartered commercial bank, a member of the Federal Reserve System and the Federal Deposit Insurance Corporation, and an equal housing lender. The parent company of Metropolitan Commercial Bank is Metropolitan Bank Holding Corp. (NYSE: MCB). Position Summary: Metropolitan Commercial Bank (the "Bank") is seeking a VP-level Applied AI & Machine Learning Scientist to design, build, and validate production-grade AI/ML and Generative AI solutions in a highly regulated banking environment. This role focuses on high-impact use cases-fraud detection, AML alert optimization, AI-assisted credit memo generation for underwriting decision support, contact center AI assistant/copilots, and personalization for treasury/commercial clients-delivered with rigorous governance, explainability, fairness testing, privacy-by-design, cybersecurity, and model lifecycle controls aligned to SR 11-7 and MCB's Trustworthy & Responsible AI Principles. The role emphasizes Snowflake as the primary ML platform (e.g., Snowpark Python, UDFs/UDTFs, Tasks/Streams, and Snowflake-native ML). We have a flexible work schedule where employees can work from home one day a week. Essential duties and responsibilities: Applied AI/ML development * Design and implement models for fraud detection, AML alert scoring/triage, AI-generated credit memo drafting and underwriting decision support, contact center AI assistants, and personalization for commercial/treasury use cases. * Leverage modern methods: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings and vector databases, transformers, boosting, anomaly/outlier detection, and classical ML. * Embed explainability (e.g., SHAP, interpretable scorecards/monotonic models) and conduct pre-/post-deployment bias testing with documented remediation. Model validation, documentation & governance (SR 11‑7) * Produce audit-ready documentation (methodology, assumptions, data lineage, limitations, testing) and register models in the inventory with owners/materiality. * Facilitate independent validation/effective challenge; obtain required approvals before deployment; maintain change management and periodic review cadence. * Define monitoring, drift thresholds, retraining triggers, and safe rollback/kill-switch procedures; maintain human-in-the-loop checkpoints for high-impact decisions. Productionization & MLOps on Snowflake * Package, deploy, and operate models via CI/CD, containerization, and model registry; instrument KPIs/KRIs and alerting dashboards. Operate models natively on Snowflake using Snowpark Python, UDFs/UDTFs, Tasks/Streams, and secure external access where required. * Partner with Engineering to integrate models via secure APIs/batch; ensure scalability, resiliency, and observability in cloud/on‑prem (e.g., Snowflake, Azure ML, Databricks). Regulatory, privacy, and cybersecurity alignment: * Design for ECOA/Reg B (adverse action specificity), UDAAP, FCRA, GLBA privacy, and NYDFS 23 NYCRR 500 cybersecurity requirements. * Apply privacy-by-design (data minimization, purpose limitation, retention), strong access controls/segregation, and secure SDLC/red teaming for GenAI stacks. Third‑party AI & data stewardship: * Support due diligence, testing, and ongoing monitoring of vendor AI/data providers per SR 23‑4; evaluate conceptual soundness, fairness, and security. * Negotiate/verify contractual controls (no vendor training on MCB/NPI, subprocessors disclosure, audit rights, exit/portability). * Ensure AEDT compliance (NYC Local Law 144) for any HR-related AI tools. Cross‑functional partnership: * Collaborate with Model Risk, Compliance/Legal, Cyber/IT, Data Privacy, Internal Audit, and business owners to meet objectives while staying within risk appetite. * Communicate complex results, risks, and limitations clearly to technical and non‑technical stakeholders (management committees, examiners). Innovation, coaching, and best practices: * Evaluate emerging ML/GenAI methods, LLM evaluation techniques, Snowflake‑native capabilities (e.g., vector search, orchestration), and governance tooling; lead POCs within established control gates. * Mentor junior staff; promote responsible AI practices, documentation standards, and reproducibility. Required knowledge, skills and experience: * Master's or PhD in a relevant field (Computer Science, Machine Learning, Data Science, Statistics, etc.) is strongly preferred, especially with research or thesis work related to AI/ML, NLP, or model interpretability. * Expertise in Python (pandas, scikit‑learn), deep learning (PyTorch/TensorFlow), NLP/LLMs, LangChain, embeddings/vector search, and classic ML. * MLOps proficiency with CI/CD, containerization (Docker), registries, and observability; cloud ML (Snowflakes-native ML, Azure ML or Databricks preferred). * Snowflake‑native ML proficiency: Snowpark Python, UDFs/UDTFs, Tasks/Streams; ability to build and operate ML workflows inside Snowflake. * Data engineering competency (SQL, ETL/pipelines, Spark/PySpark); ability to work with structured/unstructured data. * Explainability (e.g., SHAP) and fairness testing; ability to produce interpretable reason codes for ECOA/Reg B adverse actions as applicable. * Strong grasp of SR 11‑7 lifecycle, model documentation, and operational monitoring within three lines of defense governance. * Excellent communication; ability to translate technical detail to business/risk stakeholders and drive decisions. * Curiosity and problem‑solving mindset; ability to balance innovation with disciplined risk management. Preferred knowledge, skills and experience: * Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury analytics). * Hands-on with Snowflake ML/Snowpark (Python), Tasks/Streams, secure external functions; experience with feature management/registry tooling a plus. model registry and pipeline orchestration; Kubernetes a plus. * RAG architectures, vector databases, prompt engineering, and LLM evaluation (accuracy, hallucination, safety). * Fairness toolkits and XAI frameworks; experience preparing models for validation, audit, or regulatory exam discussions. * Familiarity with SR 23‑4 (third‑party risk), NYC Local Law 144 (AEDT), NYDFS Part 500 (cyber). * Ability to work in a constantly evolving environment * Must have excellent written and verbal communication skills * Must be a good listener and good teacher * Demonstrate analytical, troubleshooting and problem-solving skills * The ability to learn new technologies quickly * Self-directed individual with technology and communication skills. * Ability to take in multiple sources of information with an understanding of the bigger picture need, want, and operation of the Bank. * Collaborative team-player who can find creative and practical solutions in a dynamic work environment. * Ability to handle ambiguity, juggle multiple matters at once, and quickly and seamlessly shift from one situation or task to another. Potential Salary: $130,000 - $200,000 annually This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here. Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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.

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.

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: ***************************************

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

Kenvue is currently recruiting for a: Scientist, Self Care R&D Product and Process Development What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we're the house of iconic brands - including NEUTROGENA , AVEENO , TYLENOL , LISTERINE , JOHNSON'S and BAND-AID that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage - and have brilliant opportunities waiting for you! Join us in shaping our future-and yours. For more information, click here. Role reports to: Manager Self Care RnD Location: North America, United States, New Jersey, Summit Work Location: Fully Onsite What you will do We are seeking a motivated and experienced Senior Scientist to join Self-Care Product and Process Development team. Reporting directly to the Associate Director, this role focuses on supporting the development and optimization of consumer health products, with an emphasis on over-the-counter (OTC) medications and supplements. The Senior Scientist will play a critical role in ensuring product efficacy, safety, and compliance with regulatory standards. The ideal candidate will have a strong background in formulation science, process development, and experience in GxP compliance. Key Responsibilities: Product and Process Development: Lead consumer centric formulation and development of consumer health products, namely OTC medications, ensuring they meet quality and efficacy standards. Determining technical objectives and evaluate criteria for obtaining resolution in consultation with manager. Identify and resolve technical challenges in product and process development, utilizing sound scientific principles and experimental data with general guidance. Support the optimization of manufacturing processes to enhance efficiency, scalability, and robustness. Project Management: Contribute to project planning, timeline management, and project milestone deliverables to ensure successful project. Collaboration: Work closely with cross-functional teams, including R&D, Quality Assurance, Regulatory Affairs, and Manufacturing, to achieve project goals. Stay up-to-date with the latest scientific advancements and incorporate them into research projects Documentation: Prepare and maintain detailed documentation for product development processes, including experimental protocols, batch records, and technical reports. What we are looking for Required Qualifications Degree in Chemistry, Pharmaceutical Sciences, Chemical Engineering, Materials Engineering, Biomedical Engineering, Biophysics, or related field with 0-4 years of relevant experience. Knowledge of formulation science, process development, and foundational understanding of regulatory requirements for OTC medications and dietary supplements. Proficiency in analytical techniques and methods used in product development and quality control. Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely. Ability to work collaboratively within a multidisciplinary team and across various functions. Strong analytical and problem-solving skills Desired Qualifications Experience in product and process development within the consumer health industry. Experience in solid dose formulation and manufacturing (tablets, capsules, soft chews, gummies). Experience in formulation of liquid and semi-solids for topical and/or nasal application Demonstrated ability to manage multiple projects and work effectively in a fast-paced environment. Proficiency in project management skills, including timeline management, budget oversight, and team coordination. What's in it for you Annual base salary for new hires in this position ranges: $82,025.00 - $115,800.00 This takes into account a number of factors including work location, the candidate's skills, experience, education level & other job-related factors. Competitive Benefit Package* Paid Company Holidays, Paid Vacation, Volunteer Time & More! Learning & Development Opportunities Kenvuer Impact Networks This list could vary based on location/region *Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process. Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

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

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 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 in J.P. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in AI Agents and contributing to high-impact business applications and the broader AI community. Your role involves formulating problems, generating hypotheses, developing algorithms and models, conducting experiments, and communicating research significance. Your output will result in publications, high-impact business applications, open-source software, and patents. Job responsibilities Work on multiple research projects in collaboration with internal and external researchers and applied engineering teams Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build prototypes, and communicate research significance Contribute to publications in AI/ML conferences and journals, high-impact business applications, open-source software, and patents Participate in relevant top-tier academic conferences, organize workshops, and engage with the AI research community to broaden the impact of your contributions Required qualifications, capabilities, and skills PhD in Computer Science, Statistics, Engineering, or related fields Programming skills in Python Proficient understanding of fundamental AI and ML techniques (e.g., A*, regularization) Practical experience with statistical data analysis and experimental design Curiosity, creativity, resourcefulness, and a collaborative spirit Effective verbal and written communication skills with technical and business audiences Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds Interest in problems related to the financial services domain Preferred qualifications, capabilities, and skills Research publications in prominent AI/ML or Software Engineering venues (e.g., conferences, journals) Strong expertise in specialized areas such as deep learning (DL) or AI Agents Practical experience with ML platforms such as TensorFlow/Keras, PyTorch Comfort with rapid prototyping and disciplined software development processes Practical software engineering experience in collaborative project settings Hands-on experience developing and using AI Agents in a professional setting

JobID: 210688096 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 Natural Language Processing (NLP) * 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 with at least 3 years of experience in the field * Research publications in prominent NLP venues; e.g., conferences, journals * Strong expertise in one or more specialized areas of relevance e.g., LLM-based reasoning, foundational models, multimodal document analytics, knowledge representation, natural language processing and understanding * Experience in NLP/ML platforms such as Tensorflow/Keras, PyTorch, AWS, Hugging Face, etc. * 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, Java or C++ * Interest in problems related to the financial services domain (specific past experience in the domain is not required)

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

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.