Senior principal scientist jobs in Newark, NJ

We are seeking an Analytical Scientist to join a reputable pharmaceutical manufacturing company to conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples. ** No Relocation, No C2C Candidates** Pay: Up to $50/hour. RESPONSIBILITIES: Conduct and document chemical analyses for raw materials, in-process goods, and finished products. Design, validate, and resolve issues with analytical methods, including HPLC for cleaning verification. Collect and analyze equipment cleaning validation samples. Prepare Certificates of Analysis, analytical reports, and maintain lab documentation. Peer-review records and support OOS or OOT investigations as per SOPs. Ensure compliance with SOPs, cGMPs, and regulatory requirements. Assist with environmental monitoring and other tasks as assigned. QUALIFICATIONS: 2 years hands-on method development experience (HPLC) Knowledge of cGMPs, pharmacopeia (USP, EP), and regulatory standards (21 CFR Part 210/211/820, ISO). Bachelor's in Chemistry-related discipline with 2+ years of analytical lab experience. This job description is a complete list of all desired skills, but not all are required. We strongly encourage candidates who have some of the skills to apply. We look forward to a conversation to learn more about you!

You will be responsible for scientific oversight, data integrity and quality of clinical trial(s) in support of the development strategy for programs within the Late-Stage Oncology portfolio. KEY RESPONSIBILITIES Clinical development expert for assigned studies maintaining current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment. Effectively partner with other clinical and medical colleagues, clinical operations and other functional lines for the successful implementation and execution of the clinical trial(s) within the assigned program. Responsible for scientific oversight, data integrity and quality of the clinical trial(s). Represent the study team in governance meetings and submissions, partners with/supports the Development lead/Medical Director regarding study and disease area strategy. Author protocols, study level informed consent documents, and contributes to authoring of IBs, site training materials, clinical study reports, regulatory responses, and other clinical and regulatory documents; supports preparations for Health Authority meetings, participates as appropriate . Set the clinical data review strategy and leads the team in the collection of quality data and review of emerging clinical data and trends; reviews and queries data; presents and discusses relevant data to appropriate teams , governance bodies, and other internal and external stakeholders. In close partnership with medically qualified colleague/s , analyze the emerging safety profile of the drug, keeping the clinical and safety colleagues informed of changes in the safety profile as they occur in the assigned trial(s). Follow relevant SOPs and regulations, has an excellent understanding of and complies with applicable trainings , seeks opportunities to further improve quality and efficiency of clinical procedures; leads or actively participates in portfolio- and enterprise level workgroups aimed at optimizing PFE clinical development procedures; may be a subject matter expert or business process owner for a relevant SOP or procedure. MINIMUM QUALIFICATIONS PhD/Pharm D in a relevant Science discipline and minimum of 2 years Clinical Research experience in industry/CRO, OR MS in a relevant Science discipline and minimum of 5 years of Clinical Research experience in industry/CRO OR BA/BS in a relevant Science discipline and minimum of 7 years Clinical Research experience in a similar role in industry/CRO Clinical Research experience in the phase 3/pivotal space in Oncology, ideally on the side of the sponsor and with a track record of successful regulatory submission, inspection, and regulatory approval. Excellent knowledge of clinical procedures, ICH guidelines, GCP and familiarity with FDA, EMA, and global regulations. Extensive understanding of related disciplines, e.g., Clinical Operations, Safety, Biostatistics, Regulatory, Study Management, Pre-clinical, Pharmacology, Quality Assurance. Experience working on large data sets. Proficiency with Microsoft Office and relevant scientific software Effective communication, presentation, and organizational skills to ensure coordinated and timely delivery. Experience leveraging a variety of communication tools and techniques to communicate results Experience solving problems collaboratively and handling conflict constructively. Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations. Experience working proactively and independently, organizing tasks, time and priorities of self and others. Experience building partnerships across the company to achieve the needs of the program. PREFERRED QUALIFICATIONS Experience in Hematology Oncology COMPETENCIES FOR SUCCESS Demonstrates passion for helping patients with cancer and for the science of oncology. Flexibility to adapt and navigate through an ever-changing work environment while maintaining integrity and quality in the work assigned. Demonstrates autonomous delivery, problem-solving, and agile decision-making in execution of Clinical responsibilities. Promotes team health and exemplifies Pfizer's leadership behaviors and actionable attitudes. Leverages knowledge and support from others related to overall objectives , strategy, critical issues, and policies. Demonstrates foresight and judgment to make complex decisions Promotes innovation and takes appropriate risks to challenge the status quo in order to enhance the efficiency of current processes. Embraces evolving technologies and adopts best practices aimed at improving the efficiency and quality of clinical development Has a global perspective and mindset. Works well in a diverse team environment with colleagues from diverse cultures, backgrounds, and geographies . both as a leader and a key contributor Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Work Location Assignment: This is a Hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. The annual base salary for this position ranges from $135,100.00 to $225,100.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

The qualified candidate will take an active role in supporting drug development by applying a variety of analytical methodologies to support physical and chemical characterization of drug substances (including raw materials and intermediates) and drug products. Working knowledge of analytical (e.g., HPLC-UV, HPLC-MS, GC-MS, spectroscopy) and physical chemical techniques (e.g., particle size, dissolution) used for the characterization of pharmaceutical substances and products is desired. Hand-on experience in HPLC method development is highly desired. Position level varies from bench chemist to principle scientist, depending on experience. Principal Responsibilities: The individual will be responsible for performing laboratory work in support of analytical testing of pharmaceutical projects, and relevant experience with the following analytical methodologies: chromatography, dissolution, KF, particle size will be desirable. Job responsibilities may include analytical method development and validation; stability and release testing; testing to support pharmaceutical development efforts; direct interaction with project team members, including presentation of data; critical review of data; preparation of technical reports; and evaluation of new instrumentation or analytical techniques. The candidate must be able to interact effectively with peers and leaders as part of a multi-disciplinary team and work in a fast-paced environment. Attention to detail, strong organizational skills, the ability to multitask, and effective interpersonal and communication skills are required. Qualifications The position requires a B.S, M.S. in Pharmaceutical Chemistry, Analytical Chemistry, Chemistry, or Pharmaceutical Sciences with relevant working experience in pharmaceutical industry. Working knowledge in analytical method development and validation under cGMP environment. Experience with a wide-variety of software and information systems (e.g. Empower, ChemStation, or LIMS). Experience in problem-solving skills and instrument trouble-shooting. Good oral and written communication skills and the ability to write and review technical reports and scientific papers are desired. Working knowledge of pharmaceutical product development, CMC regulatory requirements, project management; and capability to collaborate with colleagues.

PRIMARY FUNCTION Director/Senior Director plays a key role as clinical technical lead on global Phase I-III and other clinical pharmacology centric projects Serves as a team member supporting multiple facets of Clinical Pharmacology, including study design, PK and PK/PD analyses, and overall drug development support. This position is also the scientific and medical/clinical liaison between internal teams and external groups such as clinical operations, vendors (CROs, central laboratories, etc.), investigators, medical monitors, regulatory authorities, medical affairs, commercial, Key Opinion Leaders, Advisory Boards The candidate will have an excellent knowledge of Clinical Pharmacology principles, such as PK, PK/PD, drug metabolism, drug-drug interactions, PBPK, PopPK modeling and E-R analysis. Provides peer-reviewed interpretation of clinical pharmacology data and incorporates appropriate analyses into reports required for regulatory submissions MAJOR RESPONSIBILITIES AND DUTIES Accountable and responsible for the Clinical Pharmacology support for the HUTCHMED global portfolio Provide scientific insights that drive global clinical development decisions and support global regulatory submissions Responsible for ensuring appropriate Clinical Pharmacology representation on drug/ dosage form development and clinical teams and provision of PK/PD expertise and leadership to a project The incumbent will complete assigned work in a resourceful, self-sufficient manner and will be able to create alternative approaches to achieve desired results if needed Responsible for ensuring planning and direction of Clinical Pharmacology components of clinical programs (including clinical development plan/life cycle plan) and studies (including synopsis and protocol preparation; clinical phase oversight, reporting) Responsible for ensuring leadership of multifunctional study team to design, deliver and report the assigned clinical pharmacology studies and ensuring overall scientific accountability for the designated studies Responsible (with members of Clinicians and Statisticians) for ensuring appropriate dose-finding strategies during clinical drug development that will ensure optimal doses in first in human studies and dosage regimens in patients Responsible for summarizing and interpreting results of pharmacokinetic, pharmacodynamic analyses with respect to their impact on development and clinical use of drugs During the pre-clinical stages of drug development, works with Drug Discovery team to ensure that sufficient preclinical PK/PD knowledge exists to support progression into first in man studies Accountable for ensuring that there are valid methods for measuring drug and metabolite concentrations (or any biochemical biomarkers) in human studies Coordinates with medical writers (and other team members) in the data review, analysis and reporting of the Clinical Pharmacology study Responsible, in conjunction with medical writer, for overall content and accuracy of study report before forwarding for final sign-off. Assist with internal and external dissemination of results to Development Team, Investigators etc. Provides recommendations for clinical doses and dosing algorithms (including drug interaction advice, food effects, special group dosing etc.) to the Clinical and Development teams and in regulatory documentation such as labeling Stays abreast of literature, government guidelines, internal guidance on clinical trial conduct including Good Clinical Practice and internal SOPs, regulations for specific projects to which assigned, in order to be a team resource of clinical pharmacology and therapeutics knowledge in terms of both medical background and clinical trial design Participates in multidisciplinary teams in assessing potential in-licensing opportunities, as requested by line management Acts as technical lead for specific development projects, Phase I/III and Clinical Pharmacology centric studies Manage and initiate external collaborations with leaders in clinical pharmacology and Key Opinion Leaders MINIMUM REQUIREMENTS PhD in clinical pharmacology, quantitative pharmacology, pharmacokinetics, or related field / MD/ PharmD preferred Biologics including monoclonal antibody, bispecific antibody, and antibody-drug conjugate experience is preferred Experiences in Oncology/Autoimmune disease field is preferred Proven expertise in pharmaceutical/biotech industry (8-15 years) with adequate knowledge in ICH guidelines, Good Clinical Practice applicable to Clinical Pharmacology Direct experience with clinical pharmacology summary documents required for Regulatory submissions Comprehensive understanding of worldwide clinical regulatory requirements with working knowledge of drug development process with a proven record in drug development from IND through regulatory submission and commercialization Experience in clinical development and new drug registration Mastery of statistics applied to clinical research Ability to work with pharmacometrician for PopPK modeling, E-R analysis, PBPK, and PK-PD modeling, and interpret the data to support the clinical development Good ability to interpret complex clinical data and experimental results Ability to develop network internally and externally to communicate in situations requiring special tact and diplomacy Self-motivated and self-disciplined individual with superb problem-solving and leadership skills Excellent English (writing and speaking) and excellent mastery of English medical terminology PREFERRED SKILLS AND EXPERIENCE: Knowledge of FDA, EMA and ICH guidelines and regulations Record of successful publications in the area of clinical pharmacology/pharmacometrics Comprehensive understanding of worldwide clinical regulatory requirements with working knowledge of drug development process with a proven record in drug development from IND through regulatory submission and commercialization. Prior direct interaction with regulatory agencies and advisory boards is required Candidate must demonstrate thorough understanding of principles of clinical pharmacology including clinical study design, analysis, and interpretation, and application of these approaches to drug development, guidelines in the design of clinical trials and development plans KEY COMPETENCIES: Ability to organize and work simultaneously on multiple projects Ability to work in a matrix, project-oriented environment Excellent written and oral communication skills, interpersonal/influencing skills, and ability to work in a continually changing environment Supports the success of a group being led by providing clarity, support and tools needed to excel as things change Maintains a functional, perspective and acts on the belief that solutions and plans are stronger when appropriate collaboration occurs across and beyond the organization Actively builds relationships and networks with others across and beyond HUTCHMED working constructively across organizational boundaries despite differences in interests, perspectives and need

Astera Cancer Care East Brunswick/Monroe, NJ Job Details: Occupation: Physician Specialty: Hematology Employment: Full-Time Opportunity: Private Practice, Outpatient/Inpatient Board Certifications: BC Degree: MD/DO Ideal Candidate: Early to mid-career clinical researcher with a strong background in providing direct patient care and conducting clinical research in CAR-T Cell Therapy Leadership opportunity for someone who is passionate about advancing cutting-edge cellular therapies in oncology About the Role: Astera Cancer Care is seeking a Director of CAR-T Cell Therapy to conduct clinical research and manage patients. This includes overseeing patient selection, treatment planning, and post-infusion care to ensure optimal outcomes. The Director will lead a multidisciplinary team of nurses, pharmacists, and coordinators, fostering collaboration across all aspects of care delivery. In addition to clinical responsibilities, the role balances strategic oversight with program development, quality assurance, and operational planning. About the Area: East Brunswick, New Jersey, offers a family-friendly suburban lifestyle with top-rated public schools, diverse communities, and convenient access to New York City and Philadelphia via major highways and public transit. Residents enjoy a mix of green spaces, parks, and recreational amenities like Crystal Springs Waterpark, along with a variety of shopping and dining options. The area is known for its safety and cultural richness, making it an attractive place for families and professionals. Recruitment Package: Top-Tier Compensation: Benefit from highly competitive compensation structures. No cap on earning potential. Exact compensation may vary based on skills, experience, and location. Professional Growth: Enjoy CME reimbursement to further your education and skills. Comprehensive Benefits: Full employee benefits include: Medical, Dental, Vision, Short-Term and Long-Term Disability, Life, and Accidental Death. Secure Future: Robust retirement savings plan. Peace of Mind: We cover your malpractice insurance. Future Stability: Partnership opportunity offered. Work-Life Balance: Paid time off, to ensure you maintain a healthy work-life balance. Community Care: Make a real difference by caring for patients in their local communities. Career Advancement: Seize leadership opportunities for career growth within our organization. Innovative Research: Enroll patients in cutting-edge clinical trials. Academic Excellence: Present and participate in research at prestigious conferences. Supportive Environment: Join a physician-led and managed organization that values clinical autonomy, work-life balance, and quality patient care while prioritizing your professional development and well-being. About the Practice and their Mission: Astera Cancer Care is a physician-owned multi-specialty community oncology practice delivering high-quality, coordinated, patient-centered cancer care. At Astera Cancer Care, their mission is to transform cancer care and the care and management of blood disorders with patient-focused, research-based treatment guided by compassion. Their team of multidisciplinary experts works together to improve the patient experience and provide efficient access to care, minimizing the clinical, financial, and emotional barriers that patients face. The practice offers Hematology/Medical Oncology, Breast Surgery, Palliative Care, Radiation Oncology, and Clinical Trials & Research Programs. Astera Cancer Care is a proud partner of OneOncology. OneOncology is a national partnership of leading independent community oncology practices working together to improve the lives of everyone living with cancer with a physician-led, data-driven, technology-powered, and patient-centric model. Through OneOncology, partner practices have shared technology platforms that foster communication, data sharing, and clinical excellence across the network. OneOncology's non-exclusive clinical trial site management subsidiary, OneR, delivers complex, multi-center clinical trials to affiliated practices. If you would like to apply or learn more about this opportunity, please email your CV to ****************************** I look forward to speaking with you!

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

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide. Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma. Legend Biotech is seeking a Senior Research Associate/Associate Scientist (Contractor) as part of the Early Drug Development team based in Somerset, NJ. Role Overview We are seeking a highly motivated and detail-oriented Bioassay research scientist to join our Bioanalytical team. The ideal candidate will bring technical expertise in molecular assays (qPCR/dd PCR), multi-parameter flow cytometry and contribute to the daily operations of the lab supporting both clinical and preclinical research. This role requires strong organizational skills, the ability to collaborate effectively with cross-functional teams, and a background in biology or a related field. The successful candidate will play a critical role in ensuring the accuracy, reproducibility, and integrity of experimental data. Key Responsibilities Molecular & Flow cytometry assays. Collaborate within a dynamic, cross-functional team to perform molecular and flow cytometry-based assays for the characterization of clinical, preclinical, and animal samples. Execute flow experiments following the best practices of the field. Perform quantitative PCR (qPCR) and dd PCR assays for gene expression analysis and biomarker quantification in clinical and preclinical samples. Assist in development, execution, and interpretation of new assay methods. Maintain thorough and accurate records, including laboratory notebooks, ELNs (Electronic Laboratory Notebooks), instrument logs, maintenance records, and troubleshooting documentation. Sample & Inventory Management. Support lab operations including ordering and inventory management of consumables, reagents, and antibodies. Provide weekend and shift coverage as needed. Train on and utilize LabVantage LIMS for biosample tracking, management, and test setup. Coordinate with warehouse teams for incoming and outgoing sample shipments (Legend shipments) and ensure proper documentation. Maintain an organized inventory of lab supplies, reagents, and chemicals. Ensure efficient processing of preclinical, translational, and bioanalytical samples. Qualifications BS in Biology or related field with 2+ years of relevant experience, or MS with 1+ years of experience in a pharmaceutical or biotech setting. Hands-on experience with molecular assays, flow cytometry, bioassays, immunoassays, and molecular testing platforms. Knowledge of preclinical development and patient sample analysis. Experience with LIMS (LabVantage preferred), IT networks, and database systems is a plus. Proven experience in lab inventory, equipment maintenance, and vendor coordination. Strong technical proficiency in flow cytometry, molecular bioassays, and diagnostics. Excellent organizational and data documentation skills. Proficient with various flow cytometry instruments (e.g., BD, Cytek, Beckman Coulter). Familiarity with analytical software such as SpectroFlo, and FlowJo. Experience with ELISA and PCR/qPCR/dd PCR skills. High parameter flow skills are plus. Team-oriented, proactive, and adaptable in a dynamic lab environment. Schedule: 8-hour day shift, Monday to Friday (Saturday coverage may be required. #Li-JR1 #Li-Contract Benefits We are committed to creating a workplace where employees can thrive - both professionally and personally. To attract and retain top talent in a highly competitive industry, we offer a best-in-class benefits package that supports well-being, financial stability, and long-term career growth. Our offerings are designed to meet the diverse needs of our team members and their families, ensuring they feel valued and supported every step of the way. Highlights include medical, dental, and vision insurance as well as a 401(k)-retirement plan with company match that vest fully on day one. Equity and stock options are available to employees in eligible roles, we offer eight weeks of paid parental leave after just three months of employment, and a paid time off policy that includes 15 vacation days, 5 personal days, 5 sick days, 11 U.S. national holidays, and 3 floating holidays. Additional benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs - demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. EEO Statement Legend Biotech is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is Legend's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by applicable law. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. Legend may adjust base salary or other discretionary compensation at any time based on individual, team, performance, or market conditions. Legend Biotech maintains a drug-free workplace.

GENEWIZ LLCAt Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships. All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and IntegrityJob TitleAutomation ScientistJob Description At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer-focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships. Azenta Life Sciences is a global leader in the life sciences space with headquarters in Burlington, MA, and offices and operations worldwide. We are a market leader in automated bio sample management solutions and genomic services across areas such as drug development, clinical and advanced cell therapies for the industry's top pharmaceutical, biotech, academic and healthcare institutions globally. We provide unparalleled capabilities with our lab analysis, sample management and storage services, informatics software, and consumables, with the largest installed base managing over 1 billion samples globally. What You'll Do We are seeking a highly motivated Automation Scientist to join our NGS Process Development team in South Plainfield, NJ. In this position, you will work in close collaboration with the Process Development team, as well as Operations and Bioinformatics teams, to develop, validate and deploy new automated liquid handling methods. Responsibilities include training and mentoring junior scientists and contributing to the ongoing enhancement of laboratory automation infrastructure. A high level of proficiency in troubleshooting and maintaining automated liquid handling systems is required. We seek candidates who are proactive, passionate about genomic innovation, and possess outstanding communication skills-both written and verbal. Your drive and curiosity will help shape the future of our Omics technology suite and enable impactful contributions to human health. Key Responsibilities Develop and implement novel automation solutions to address challenges throughout molecular biology workflows including scalability, cost savings, and sample chain of custody improvements. Generate SOPs for new methods and workflows Run NGS and other molecular biology methods on a range of liquid handler platforms Train other scientists in the use of lab automation Supervise associate level scientist to conduct method testing and adjustments Work closely with internal informatics teams to design, build, and maintain LIMS and sample tracking solutions Identify and implement hardware and/or software to improve the automation infrastructure Routine maintenance and troubleshooting of liquid handler instruments What You'll Bring MS or PhD in Biological Sciences preferred Bachelor's Degree Required 3+ years of hands on experience developing and optimizing methods for a wide range of liquid handling devices, including Biomek, Mosquito, Mantis, Dragonfly liquid handlers, required Experience designing, implementing, and/or operation of integrated work cells, preferred Strong computer skills, including proficiency in a MS Office, general purpose programming languages (e.g. VB/VBA/VBS, Python, Perl, R, C++/C#), required Strong knowledge and hands-on experience of next-generation sequencing, including wet and dry lab, preferred Ability to troubleshoot liquid handling devices related issues Strong track record of assay development, required Attention to detail and a mindset focused on continuous improvement, required. When applying include a cover letter to describe an example of actions you took to enhance a process or workflow and the results that were obtained. Strong communication skills with peers and senior management, both verbal and written Ability to multitask and meet deadlines in a fast-paced, customer-oriented environment EOE M/F/Disabled/VET If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at ********************* for assistance. Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status. United States Base Compensation: $100,000.00 - $125,000.00 The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications), qualifications, performance, and geographic location, among other relevant business or organizational needs.

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 Pharmacovigilance Scientist (PVS) will serve as a core member of the safety team and is responsible for performing proactive pharmacovigilance activities on a product, or group of products in a therapeutic area or franchise, in partnership with the Global Safety Officer (GSO) to evaluate safety data and signals for both marketed products and products in clinical development. This includes performing signal detection and safety management committee activities, authoring safety evaluations, contributing and reviewing of aggregate safety reports, assisting with ad hoc regulatory responses, facilitating signal management process for assigned products (i.e., signal tracking, data analysis, leading review meetings, presenting, etc.) in collaboration with the GSO and Pharmacoepidemiology. Additionally, the PVS will support the GSO with other safety related activities associated with new drug applications / regulatory filings, benefit risk assessment and safety risk management and support activities related to risk minimization including dRMP/RMP and REMS. The PVS will provide coordination and oversight to outsourced activities (i.e., signal detection reports, clinical overviews). Good knowledge of pharmacovigilance practices Good knowledge of US and EU pharmacovigilance regulatory requirements Excellent written and verbal communication skills Ability to present and critically discuss safety data in both internal and external discussions Ability to evaluate, interpret and synthesize scientific data (analytical thinking) Team player with ability to function in a cross-functional environment Self-motivated, able to prioritize and plan effectively, and independently, with minimal supervision Fluent in English (verbal and written) Good moderator skills Ability to navigate in databases and pull information correctly Good organizational skills and attention to detail Education: Minimum Bachelors of Science or Health Care Professional (RN, BSN, Nurse Practitioner or Physician Assistant, RPh); or preferred advanced health care discipline degree (MDPharmD, PhD, Masters of Science, etc.) or equivalent qualification. Required Experience: Basic knowledge of common data processing software (i.e., Excel, PowerPoint, Word) and database systems Additional Information Best Regards, Anuj Mehta ************

At Nouryon, our global team of Changemakers takes positive action every day, to reach higher collectively and individually. We create innovative and sustainable solutions for our customers to answer society's needs - today and in the future. As a Scientist, you will be responsible for leading research projects, developing innovative solutions, and optimizing processes within your field of expertise. You will collaborate with cross-functional teams, maintain a safe working environment, and be the lead technical contact for customers. This role offers the opportunity to work on high-impact projects, with occasional travel both domestically and internationally. In your future role as Scientist you will: Maintain and promote a safe, clean, and orderly working environment Plan, set up, and execute experiments; analyze and interpret results Identify new product and process optimization opportunities Keep up-to-date with the latest research methods and ensure knowledge retention within the team Act as a lead technical contact in customer meetings and present technical information Collaborate with Intellectual Property (IP) teams to manage and file IP applications Participate in projects, ensuring timely and high-quality execution using your expertise We believe you bring: Education: PhD in Chemistry/Polymers/Material Science/Chemical Technology + 3 years of experience, OR Master's Degree + 5 years of experience, OR Bachelor's Degree + 10 years of experience in relevant fields Preferred: PhD with 5+ years of experience Experience: Required: Laboratory experience in chemistry, polymers, or material science Strongly Preferred: Experience with surfactants and/or polymer formulation technology in Agro applications Skills and Competencies: Strong communication and presentation skills Expertise in designing, executing, and analyzing experiments Knowledge of experimental design and data interpretation Ability to deliver results on large projects, meeting business needs on time. Good to know: This is a permanent on-site position on a full-time basis, reporting to the Section Manager in Bridgewater, NJ. Please apply via our online recruitment system. We will not accept applications via e-mail. Once it's with us we will review to see if we have a match between your skills and the role! For more information about our hiring process, visit: nouryon.com/careers/how-we-hire/ We look forward to receiving your application! We kindly ask our internal candidates to apply with your Nouryon email via Success Factors. About Nouryon: We're looking for tomorrow's Changemakers, today. If you're looking for your next career move, apply today and join Nouryon's worldwide team of Changemakers in providing essential solutions that our customers use to manufacture everyday products such as personal care, cleaning, paints and coatings, agriculture and food, pharmaceuticals, and building products. Our employees are driven by the desire to make an impact and actively drive positive change. If that describes you, we will gladly make way for your ambitions. From day one, we support you with your personal growth, through challenging positions and comprehensive learning and development opportunities, in a dynamic, international, diverse, and proactive working environment. Visit our website and follow us on LinkedIn. #WeAreNouryon #Changemakers We have already chosen our sourcing channels for this recruitment and kindly ask not to be contacted by any advertisement agents, recruitment agencies or staffing companies. " What can Nouryon offer you? If you share our values and ambitions, we offer a fascinating international environment that rewards your skills and enthusiasm. Our employment package comprises a competitive salary and an attractive bonus scheme. Training opportunities and internal networks enable valuable personal and professional development. And through challenging projects you will help us become first choice for our customers, shareholders and employees, all over the world. Nouryon is an Equal Opportunity Employer - Minorities / Females / Disabled / Veterans (M/F/D/V) Application details If you have questions on the role, please contact [[Hiring Manager]]. For further information on the recruitment process, please contact [[Recruiter Name]], Recruiter. We welcome your online application via our website. Please use the apply button on this page. A pre-employment screening may form part of the selection process. We have already chosen our sourcing channels for this recruitment and kindly ask not to be contacted by any advertisement agents, recruitment agencies or manning companies. About Nouryon: We are a global specialty chemicals leader. Industries worldwide rely on our essential chemistry in the manufacture of everyday products such as paper, plastics, building materials, food, pharmaceuticals, and personal care items. Building on our nearly 400-year history, the dedication of our 10,000 employees, and our shared commitment to business growth, strong financial performance, safety, sustainability, and innovation, we have established a world-class business and built strong partnerships with our customers. We operate in over 80 countries around the world and our portfolio of industry-leading brands includes Eka, Dissolvine, Trigonox, and Berol. "

JobID: 210643509 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 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

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

Teleskope is building the future of data security. Despite enormous growth in awareness and investment in data security, most companies still don't know where they are storing sensitive information and how to secure it. At Teleskope, we're building a modern and developer-friendly data security platform to automate data security and privacy at scale, from detection to remediation. About the role Teleskope is looking for an Applied NLP Scientist to play a critical role in the evolution of our remediation engine, which powers our data security and privacy platform. In this role, you will lead the development of agentic NLP systems that don't just detect risks in unstructured data but take proactive remediation and compliance actions directly within the Teleskope platform. You will design and build intelligent agents that operate across diverse enterprise data modalities (e.g., unstructured text, documents, tables, images), unifying extraction, prediction, and decision-making into action-oriented pipelines. This role involves working with massive datasets and building production-grade ML infrastructure that supports fast, reliable, and scalable inference for real-time remediation. This is a high-impact, in-office role based in NYC where you'll collaborate across engineering, product, and customer-facing teams to bring remediation-focused AI agents to life. What you'll do Own and evolve the Teleskope remediation and classification pipeline across multiple data modalities (e.g., text, documents, tables, images). Build and maintain agentic systems that unify information extraction with automated action-taking workflows. Apply modern NLP and LLM-based techniques for classification, clustering, summarization, and agent-driven decision-making. Define and build processes for evaluation, validation, and continuous monitoring of models and agents. Collaborate with product and engineering teams to integrate AI-driven remediation agents into customer-facing workflows. Stay on top of research and best practices in applied NLP, LLMs, and agentic architectures, contributing to the evolution of our ML stack. What you bring 4+ years of experience in applied NLP. Demonstrated success building and deploying LLM pipelines, agentic systems, or applied NLP models in production. Experience across the ML lifecycle: data preprocessing, model training, evaluation, and deployment. Bachelor's, Master's, or PhD in Computer Science, Computational Linguistics, or related field-or equivalent experience. Excellent communication and collaboration skills. Must be based in New York City-this is an in-office role. What you'll get An opportunity to join an early stage startup in one of today's fastest growing markets Space to build impactful features and own projects from start to finish Room to learn, grow, and rapidly advance in your data scientist career A beautiful, well-stocked office in NYC's Financial District Competitive salary and meaningful equity Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope What we value At Teleskope, we value technical excellence, practical execution, and a strong sense of ownership. We're looking for team members who bring domain expertise and a passion for shipping impactful ML solutions that meet real-world privacy and security needs.

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.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! For examples of our work, please see a selection of our publications from ECCV, ICCV and ICLR: • ********************************************************************************************************************************** • **************************************************************************** • ************************************************************************************************************************ Key job responsibilities As an Applied Scientist, your day-to-day responsibilities will include: Defining technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision. Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team. Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team. About the team Our Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation. As an Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications. We are seeking a science leader with deep knowledge of multi-modal content understanding, including Vision Language Models (VLMs) and Multi-Modal Language Models (MMLMs). - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

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

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.