Senior principal scientist jobs in New York, NY

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

NVIDIA Research's "AI-Mediated Reality and Interaction" team is looking for a research scientist. Our mission is to create interactive physical AIs capable of operating in dynamic 4D worlds. We conduct fundamental research on the algorithms, theory and application of human-AI interaction and 4D world modeling using new ideas in artificial intelligence (AI), neural rendering, graphics, generative modeling, large language models, human behavior understanding and digital human creation. That research impacts many existing NVIDIA products, including Isaac, Omniverse, Metropolis, NuRec, XR, AI4Media, XR, and helps create new ones. We need a highly creative, independent and self-starting research scientist to help us invent that future. Come join a diverse research group that collaboratively works on hard and meaningful interdisciplinary problems with passion, drive and curiosity; that consistently publishes and demonstrates cutting-edge technology at top venues in computer vision, artificial intelligence and graphics; and that values real impact on NVIDIA products and the industry at large. What you'll be doing: * Propose, research, prototype and test innovative research ideas. * Publish at top conferences and patent research ideas. * Collaborate with other research team members, external researchers and mentor interns. * Create working interactive demonstrations to showcase your research ideas. * Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product. What we need to see: * Ph.D. in Computer Science/Electrical Engineering or equivalent research experience. * Outstanding research track record in top-tier conferences (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, etc.). * Proficiency in theory and practice of AI and computer vision algorithms. * Experience with 3D graphics development. * Strong programming skills in Python, C++, CUDA * Proficiency with distributed deep learning training frameworks, e.g., PyTorch. * Excellent communication skills. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most resourceful and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of exploring and creating the techniques that will define our future products? If so, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 19, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $177,000/year to $251,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Requisition ID 61042 Position Type (US) Full Time Workplace Arrangement #LI-Onsite About Kerry Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment. About the role The RDA Process Scientist performs research and development work with an operations focus which bridges the gap between RD&A Taste Innovation and KERRY's commercialization process. He/she will focus on process optimizations, scale-ups, solving regulatory and other hurdles to new products and technologies introductions. He/she will collaborate with other scientists (especially Taste Innovation team), engineers, maintenance, QC, sanitation, etc. Key responsibilities * Work closely with Taste Innovation team to develop and scale up taste modulation products * Focus on solving the regulatory hurdles * Liaising with cross functional teams engineering, research, technical, QC, sanitation, maintenance, and/or production staff, regulatory, procurement, etc. * Planning, organizing, and overseeing process or production trials * Suggests improvements or modifications to current processes * Generates ideas for new products and researches feasibility in terms of profitability, resource availability and compliance with regulations. * Adheres to Standard Operating Procedures (SOPs) and Cleaning In Place (CIP) * Keeps recording data log (flow rate, pressure, temperature, etc) and analyzing data * Writes and reads technical papers, reports, reviews, and specifications. Qualifications and skills * Bachelor's or Master's in food process science, food engineering, agricultural science, engineering, material science or related science fields. * Experience in a food production environment or industrial laboratory Experience with upscaling of food manufacturing processes is a plus moving from lab scale to industrial scale. * Knowledge of good manufacturing practice * Problem-solving skills, analytical skills, and attention to detail * Strong communication and interpersonal skills, able to work effectively as part of a team. * Excellent analytical, organizational, and multi-tasking skills. The pay range for this position is $107,757 to $181,563 in Annual Salary. Kerry typically does not hire an individual at the top or near the top of the range, as we are a pay-for-performance company, and this range is set to continue to reward performance annually while in role. Compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate within the above range may be influenced by a variety of factors including skills, qualifications, experience, and internal equity. Kerry offers a competitive benefits package, including medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, Employee Share Plan, Life, disability, and accident insurance, and tuition reimbursement. This job posting is anticipated to expire on Jan 30th, 2026. Kerry is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age disability, protected veteran status or other characteristics protected by law. Kerry will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen. Additional information can be found at Know Your Rights Workplace Discrimination is Illegal (dol.gov). Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a "starter kit," investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name. Recruiter Posting Type DNI

- Computational Biology/Biophysics * Title: Post-Doctoral Fellow/ Research Scientist * Department: Center of Excellence * Campus: Brooklyn, New York Long Island University hosts a leading Dassault Systèmes Center of Excellence in Life Sciences. Through our collaboration with Dassault Systèmes and Baylor College of Medicine, we are spearheading the digital transformation of life science, education and clinical practice by leveraging advanced computational methods, AI and in-silico modeling. We are seeking a highly qualified post-doctoral fellow with expertise in computational biology or chemistry to join our collaborative research team at Long Island University. Overall, your work will involve collaborating with experts from various fields to advance our understanding of druginduced liver injury and contribute to the development of safer and more effective medications. Job Qualifications o Ph.D. in Computational Biology, Systems Biology, Applied Mathematics, Biophysics, Computational Chemistry, Bioinformatics or similar. o Proficiency with one or more programming language such as Python, Matlab or C++. o Proficiency in systems biology/computational biology/computational chemistry/bioinformatics a plus (BIOVIA, Discovery Studio, CompuCell3D or equivalent) o Proven track records (publication in top-tier journals, awards, patents, white papers) o Ability to present analytical results on behalf of the project team to senior leadership. o Ability to influence or persuade others to accept new ideas, approaches, or concepts and on the direction of projects and manage stakeholders through project execution. Primary Location Long Island University, Brooklyn Campus, Brooklyn, NY To Apply Interested candidates should submit a cover letter, CV, and a list of three references. Applications must be submitted online at (***************************** Review of applications will begin immediately and will continue until the position is filled. More on LIU's Center of Excellence with Dassault Systemes Long Island University (LIU) has formed a research and innovation partnership with Dassault Systèmes in life sciences. The collaboration focuses on impactful research in pharmaceutical sciences, precision medicine, and healthcare in the digital age. The research involves the development of "Virtual Twins," digital models of human anatomy, to advance precision medicine. LIU has also opened in 2020 a state-of-the-art simulation and high-performance computing laboratory equipped with Dassault Systèmes' 3D, augmented reality, and virtual reality software. This facility supports experiential research, education, and training in various fields, including AI, robotics, cybersecurity, data analytics, and drug discovery. LIU is an equal opportunity employer. LIU is committed to extending equal opportunity in employment to all qualified candidates who can contribute to the diversity and excellence of our academic community. LIU encourages applications from all qualified individuals without regard to race, color, religion, genetic information, sexual orientation, gender and/or gender identity or expression, marital or parental status, national origin, ethnicity, citizenship status, veteran or military status, age, disability or any other basis protected by applicable local, state or federal laws. Hiring is contingent on eligibility to work in the United States.

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

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: Fully Onsite 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.

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: Fully Onsite 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.

Principal Scientist- Full Time- Onsite; Whitesboro, New York ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. We are currently seeking a full-time Principal Scientist to join our diverse and dynamic team in Whitesboro, New York. What You Will Do: * Recognize, exemplify and adhere to ICON's values which centers around our commitment to People, Clients and Performance. * As a member of staff, the employee is expected to embrace and contribute to our culture of process improvement with a focus on streamlining our processes adding value to our business and meeting client needs. * Travel (approximately 5%) domestic and/or international * Provide status updates of work in progress and estimate time needed for various tasks. * Build and great relationships with department members and clients to ensure optimal service and deliverables. * Identify issues and/or problems as appropriate, and propose and help implement workable solutions. * Work with the Project Manager to prepare timelines for all procedures/tasks/goals and their completion dates. * Attend team meetings as appropriate. * Prepare scientific publications to support endeavors in new science, and attend seminars and workshops to expand professional capabilities. * Interpret and summarize study results. * Interact with clients to transmit study status and results. * Assist in the definition and optimization of work processes. * Undertake other reasonably related duties as may be assigned from time to time. Preferred Qualifications: * 5+ years of bench level work/experience in LCMS department * Prior experience with LCMSMS (Sciex) * Skyline and in-silico, and other protein sequencing software * PhD preferred * Background in Chemistry, Biochemistry, etc. or degree in similar field #LI-Onsite #LI-HP1 What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: * Various annual leave entitlements * A range of health insurance offerings to suit you and your family's needs. * Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. * Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. * Life assurance * Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Salary range: $75,480.00-$94,350.00 Bonus, Com, Stock, Benefits & Disclaimer verbiage: Actual compensation will be determined based on factors such as geographic location, work experience, education/training, and skill level. You may be eligible for a bonus, stock compensation and commissions in some cases depending on your role and performance. Are you a current ICON Employee? Please click here to apply

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

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)

Role Description: Are you looking for a new career opportunity that will allow you to develop and use cutting-edge AI technologies to solve challenging NLP problems while making a positive impact on the world? If so, we would love to hear from you! Dyania Health is looking for Research Scientists to help us transform the way in which machines process biomedical information, and revolutionize the way in which clinical trials are conducted. You will be working alongside team members with deep technical expertise in NLP, top medical professionals (MDs, pharmacology PhDs, and others), and an experienced product team. The ideal candidate will have strong foundations in computer science and ML/NLP, superb communication skills, and a proven track record of delivery under tight deadlines. Requirements Required Qualifications: Graduate degree in a relevant field (Computer Science, Mathematics, Electrical Engineering) 2+ years experience in building and deploying ML models Experience in applying transformer-based deep-learning techniques to challenging NLP problems Fluency in Python and experience with Python-based ML frameworks such as PyTorch Outstanding communication skills Preferred Qualifications: Publications in top-tier NLP conferences Background in classical computational linguistics Experience with Java (or Kotlin/Scala) and/or a functional programming language Responsibilities: Design, build, evaluate, and deploy algorithms and models for accurately extracting medical information from structured and unstructured data sources Work closely with product, UX, and clinical teams to prototype and test new functionality Analyze performance results and convey your analyses to relevant stakeholders Conduct research, publish and present your findings at relevant scientific venues Team Culture: • We lead with empathy for patients and our teammates. • We value small egos, self-awareness, and humility in our teammates. • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift. • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team. • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative. The Team The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies. Our Vision * We pursue large scientific challenges that cannot be pursued in conventional environments * We enable individual investigators to pursue their riskiest and most innovative ideas * The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution. The Opportunity The Biohub is seeking an accomplished computational biologist and machine learning/AI specialist to join our interdisciplinary team. This role requires experience in research settings, a background in biology, and a proven ability to design, evaluate, and publish innovative computational methodologies that leverage machine learning, statistics, language modelling, and AI to advance biological research and discovery. Research projects to accelerate the rate of scientific discovery will be assigned by the President of the New York location, and in collaboration with research teams across the organization. The ideal candidate will have a strong track record of accomplishments and a dedication to collaborative work within a highly interdisciplinary environment. This role is based out of the New York location. What You'll Do * Contribute to a dynamic, innovative, and collaborative program that aligns with the mission of Biohub. * Develop and evaluate cutting-edge computational / AI methodologies using data generated from across all research groups and incorporating relevant available datasets for to develop predictive models. * Collaborate within an interdisciplinary research environment to develop, test, and validate models. * Engage with colleagues throughout the Biohub to uphold our values of scholarly excellence, innovation, open communication, hands-on hacking, and partnership. * Communicate progress and results with colleagues inside and outside of your team. * Publish and disseminate impactful findings through preprints (med Rxiv, bio Rxiv) and/or software repositories (e.g., GitHub). * Work with the CZ Biohub team to patent and license technologies resulting from your research. What You'll Bring Essential - * PhD in Computational Biology, AI / Machine learning, Applied Statistics or a MS plus relevant job experience. * Background in relevant areas of biomedical science, demonstrating a deep understanding of cellular biology, transcription and protein signal transduction. * 2-4 years of post-doctoral and/or industry experience demonstrating the ability to implement, evaluate, and create new computational methodologies that leverage machine learning, statistics, and AI for biological research and discovery. * Experience in building and evaluating machine learning and/or neural network models on biological data, with a deep understanding of feature selection, regularization, model introspection, and interpretability. * Proficiency in using and modifying probabilistic learning or deep learning models such as RNNs, GNNs, protein sequence models, or natural language processing models. * Proven track record of individual innovation, as well as a strong ability to work collaboratively. * Outstanding interpersonal and communication skills. * Demonstrated commitment to open science and alignment with the mission and values of CZ Biohub. Compensation The New York City, NY base pay range for a new hire in this role is $169,000 - $211,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. * Provides a generous employer match on employee 401(k) contributions to support planning for the future. * Paid time off to volunteer at an organization of your choice. * Funding for select family-forming benefits. * Relocation support for employees who need assistance moving If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. #LI-Onsite

Snapshot Our team is focused on ensuring the safe and beneficial development of Google's most advanced AI systems as they progress toward AGI. We specialize in creating and implementing cutting-edge algorithms and methods to address the unique safety challenges posed by frontier models and autonomous agents. Our work involves a mix of foundational research and large-scale empirical validation to build scalable solutions for model alignment, interpretability, and responsibility. We collaborate closely with other research and product teams to ensure our AI systems are robust, predictable, and aligned with human values. About us Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The role This Research Scientist position is a unique opportunity to lead foundational research on frontier AI safety problems. You will be instrumental in developing the core scientific understanding and techniques that allow us to build and deploy increasingly autonomous and capable AI systems responsibly. Key responsibilities Conceive, design, and lead research projects to develop novel algorithms for the safety, alignment, and interpretability of advanced AI agents. Drive the full research lifecycle, from theoretical ideation and mathematical formulation to implementation and large-scale empirical validation. Design and conduct rigorous evaluations and red-teaming exercises to discover and mitigate potential risks in next-generation models. Write software to implement research ideas and iterate quickly. Collaborate with world-class research and engineering teams to embed research directly into the AI development lifecycle. Stay at the forefront of the field by engaging with the latest theoretical research in machine learning and AI safety. About you You are passionate about the long-term societal implications of AI and have a strong desire to solve the fundamental technical challenges required for its safe development. You possess deep theoretical knowledge and the strong engineering skills needed to bring complex research ideas to life. In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience: A PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience. Experience in designing and implementing machine learning algorithms in Python. Hands-on experience with at least one major deep learning framework such as JAX, PyTorch, or TensorFlow. A strong mathematical background and the ability to engage with theoretical research in machine learning. Working experience with modern AI architectures (e.g., Transformers, Diffusion) and a comprehensive knowledge of machine learning fundamentals. A strong interest in ensuring AI development benefits humanity. In addition, the following would be an advantage: A strong track record of research, including publications in top-tier peer-reviewed conferences or journals (e.g., NeurIPS, ICML, ICLR). Expertise in one or more of these areas: AI safety, model interpretability (explainable AI), or AI alignment. Experience leading research projects and engaging in team collaborations to meet ambitious research goals. Experience with large-scale training and evaluation of deep learning models The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: 6pm ET Friday 31st October 2025 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Want to build the simulated worlds that test what frontier models are really capable of? This is a chance to join a team advancing the science of post-training and scalable evaluation - building reinforcement learning environments that push reasoning, planning, and long-horizon behaviour to their limits. Instead of static benchmarks, you'll create dynamic simulations that measure real intelligence - not just accuracy. You'll design new post-training algorithms (RLHF, DPO, GRPO and beyond), develop richer reward models that move past exact-match scoring, and build evaluation frameworks that define how next-generation AI is trained, aligned, and understood. The work combines deep research with hands-on implementation - from writing papers to seeing your methods deployed in live systems. It's ideal for researchers who care about bridging academic insight and practical impact, helping AI progress beyond metrics that no longer tell the whole story. You'll bring: Research experience in post-training, reinforcement learning, or evaluation for LLMs. Strong understanding of transformer models and experimental design. Publication record at leading venues (NeurIPS, ICLR, ICML, ACL, EMNLP). PhD or equivalent research experience in CS, ML, NLP, or RL. Package: Up to $300K base (DOE) + meaningful equity + comprehensive benefits (401k, unlimited PTO, relocation and sponsorship available). Location: On-site in New York (preferred). If you want to shape how AI is trained, tested, and trusted - this is the place to do it. All applicants will receive a response.

Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunity The vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the development process, encompassing data acquisition, model evaluation, pre- and post-training, supervised fine-tuning, reward modeling, and reinforcement learning to drive overall performance of the system. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components. Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making. Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages. Work in collaboration with various teams, in particular the experimental materials science team. Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development. Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops. The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking. Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation. About you Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on LLMs. At least 3 years of research experience in AI, with a proven track record of designing agentic systems. Familiarity with large-scale model training. Proficiency in Python and relevant ML libraries (e.g., PyTorch). Strong publication record in top-tier AI/ML conferences or journals. Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively. Pluses Passionate about leveraging ML for science related problems and a commitment to doing world-class research. Domain knowledge of materials and/or molecules. Familiarity with large-scale model training. Experience with LLM engineering. Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences. What we offer A competitive compensation package also includes the best in benefits: Medical, dental, and vision insurance for you and your family Mental health and wellness support Unlimited PTO and 14+ company holidays per year 401K Work closely with a team on the cutting edge of AI research. A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery. $100,000 - $300,000 a year + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What you will do * Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. * Build models to predict the behaviour of physical systems using state-of-the-art machine learning and deep learning techniques. * Own Research work-streams at different levels, depending on seniority. * Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. * Collaborate with colleagues beyond the research team to translate your models into production-ready code. * Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non-academic audiences. * Foster a nurturing environment for colleagues with less experience in DS / ML / Stats for them to grow and you to mentor. * What you bring to the table * Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering. * Ability to scope and effectively deliver projects. * Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. * Excellent collaboration and communication skills - with teams and customers alike. * PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: * operator learning (neural operators), or other probabilistic methods for PDEs; * geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data; * generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.). * Ideally, >2 years of experience in a data-driven role, with exposure to: * building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; * developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); * iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance; * combining theoretical reasoning with empirical intuition to guide investigation; * formulating and running experiment pipelines to benchmark models and produce comparable results; * writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience. * Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR. What we offer * Equity options - share in our success and growth. * 5% 401(k) match - invest in your future. * Flexible working - balance your work and life in a way that works for you. * Hybrid setup - enjoy our Manhattan office while keeping remote flexibility. * Enhanced parental leave - support for life's biggest milestones. * Private healthcare - comprehensive coverage for you and your family. * Personal development - access learning and training to help you grow. * Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. Salary range: $120,000 - 240,000 depending on experience Seniority will be assessed throughout our interview process We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.