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  • Oncology Early Stage Clinical Scientist (Director, Non-MD)

    Pfizer 4.5company rating

    Senior principal scientist job in New York, NY

    You will lead and coordinate the development of multiple studies of novel biological and small molecules for first in human (FIH), proof of mechanism (POM), early signs of efficacy (ESOE) and proof of concept (POC) studies in Oncology. You will work in close collaboration with the Global Development Lead (GDL)and members of the development team to establish, lead, coordinate, and execute the early oncology clinical development plan(s). You will lead the development of the clinical protocol and participate as an individual contributor on clinical teams with Pfizer development operations and the project team, to meet enrollment and study delivery timelines. You will also work with other functional disciples to ensure the full scope and remit of Oncology Early Stage Development (OESD) is represented as need within clinical study teams (e.g. Research Units, Biostatistics, Clinical Pharmacology, Precision Medicine, and Digital Medicine). POSITION RESPONSIBILITIES Partner closely with the Global Development Lead (GDL) in the execution of the clinical development strategy and plan for the assigned molecule(s)/indication(s) Responsible for scientific leadership and execution of clinical studies and delivering on innovative clinical study designs, high quality trial execution, safety assessment and interpretation of clinical study results Support execution for all FIH programs through proof-of concept Set the clinical data review strategy, ensure quality data and conduct review of emerging clinical data and trends; review and query data; present and discusse relevant data to appropriate teams, governance bodies, and other internal and external stakeholders Conduct data review, analysis and interpretation of clinical trials data together with the GDL, Clinical Safety, and Biostatistics. Serve as technical resource for clinical issues raised by internal and external collaborators, investigators, consultants and contractors Support and assist in the development of publications, abstracts, and presentations May sit on project teams to support clinical development implementation and contribution to key development milestones, e.g. start-up and delivery of ESoE and PoC trials. Participate in project teams to help implement clinical development and contribute to key milestones (e.g., start-up and delivery of early signs of efficacy [ESoE] and POC trials). Lead the preparation of clinical protocols and support other critical documents including clinical development plans, INDs, annual reports, clinical study reports (CSRs), investigator brochures, statistical analysis plans, and regulatory documents. Foster a transparent environment that builds strong partnerships and mutual trust among teams and therapeutic areas. Coordinate with other clinical research activities within Oncology Research Development (ORD) and the broader Worldwide Research and Development (WRD) organization. Develop effective collaborations with key internal and external partners, such as project leaders, research units, biostatistics, regulatory affairs, clinical pharmacology, human genetics, translational oncology, precision medicine, and development operations. Partner with Translational Oncology and Biomarker teams to ensure biomarker plans are integrated into relevant programs for early efficacy signs and POC, as well as patient stratification. Establish and support relationships with external experts, consultants, key opinion leaders, regulators, and investigator networks to integrate the latest clinical thinking and guidelines into development plans and study designs, as well as manage study recruitment, analysis, interpretation, and presentation of results. Maintain up-to-date knowledge of scientific and clinical literature in relevant therapeutic areas, including key clinical development issues. Perform other duties as assigned related to clinical programs. Support functional area priorities and contribute to or lead departmental initiatives as requested. MINIMUM QUALIFICATIONS / KEY SKILLS Relevant PhD or PharmD and a minimum of 5 years of experience in a similar role in industry/CRO, OR MS and a minimum of 7 years of experience in a similar role in industry/CRO, OR BA/BS and a minimum of 10 years of experience in a similar role in industry/CRO Clinical Research experience in Phase 1 in Oncology, on the side of the sponsor leading studies Experience in or strong understanding of Oncology Drug Development especially in Early Development Strong knowledge of clinical procedures, ICH guidelines, GCP and familiarity with FDA, EMA, and global regulations. Strong scientific writing skills and communication skills (written and verbal) Clinical document writing experience (e.g., protocol, ICD, IB, IND), as well as understanding complex data analysis. Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations. Experience working with and solid understanding of related disciplines, e.g., Clinical Operations, Safety, Biostatistics, Regulatory, Study Management, Pre-Clinical, Pharmacology, Quality Assurance. Experience building consensus and driving change across all levels of the organization including senior management. Data listing review experience Critical thinker, with experience working collaboratively in a fast-paced, team-based matrix environment as well as working independently when appropriate Experience performing complex data analyses using JReview, SpotFire, SOCs-PRO or other similar platform PREFERRED QUALIFICATION Experience leading a team This position does not require you to be medical qualified. Demonstrates 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. PHYSICAL/MENTAL REQUIREMENTS Perform complex data analysis NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS 5-10% Travel 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. 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. PHYSICAL/MENTAL REQUIREMENTS Perform complex data analysis NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Work Location Assignment: Hybrid The annual base salary for this position ranges from $169,700.00 to $282,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% 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
    $83k-105k yearly est. 1d ago
  • AI Research Scientist, CoreML - Monetization AI

    Meta Platforms, Inc. 4.8company rating

    Senior principal scientist job in New York, NY

    We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking AI Research Scientists to join our team and drive SOTA research across the Monetization organization. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field * Experience holding an industry, faculty, or government researcher position * Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas * Publications in machine learning, artificial intelligence, or related field * Programming experience in Python and hands-on experience with frameworks such as PyTorch * Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Preferred Qualifications * Experience taking ideas from research to production. * First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). * Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. Responsibilities * Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques * Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability * Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding * Design and implement generative modeling solutions for data augmentation * Research and develop graph-aware large language models * Develop and deploy AutoML pipelines * Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason * Use causal learning to identify and understand the cause and effect of relationships across data * Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains * Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
    $136k-179k yearly est. 14d ago
  • Research Scientist

    ATG 4.2company rating

    Senior principal scientist job in New York, NY

    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
    $67k-100k yearly est. Auto-Apply 60d+ ago
  • Senior Scientist of Research and Molecular Assay Development

    Sonic Healthcare USA 4.4company rating

    Senior principal scientist job in Rye Brook, NY

    We're not just a workplace - we're a Great Place to Work certified employer! Proudly certified as a Great Place to Work, we are dedicated to creating a supportive and inclusive environment. At Sonic Healthcare USA, we emphasize teamwork and innovation. Check out our job openings and advance your career with a company that values its team members! Location: Rye Brook, NY Days: Monday - Friday Salary range: $150K - $195K Hours: 8:00 AM - 5:00 PM Full-time: Benefit Eligible In this role, you will: Collaborate with senior leadership to align research and clinical validation priorities with organizational goals. Supervise and mentor a team of Molecular Technologists working under their supervision, fostering a culture of scientific excellence and continuous improvement. Oversee daily molecular R&D testing operations, ensuring accuracy, efficiency, and compliance with any regulatory agency at any level. Lead the design, optimization, and validation of high-throughput molecular assays for clinical and pharma applications. Conduct comprehensive validation studies, including precision, accuracy, sensitivity, and specificity assessments. Review the critical steps in developing new assays or technologies. Provide scientific and technical guidance for assay troubleshooting. Maintain robust quality assurance and quality control programs; implement corrective actions as needed. Develop, review, and update SOPs to ensure compliance with regulatory and accreditation standards. Collaborate with the QA Manager to prepare for inspections and audits; provide detailed reports and documentation. Identify emerging technologies and methodologies to enhance molecular testing capabilities. Collaborate with cross-functional teams to support research initiatives and pharma partnerships. Contribute to strategic planning for laboratory growth and integration of novel molecular platforms. Perform other job-related duties as assigned. Ensure adherence to CAP/CLIA/NYSDOH standards, other regulatory agencies, and internal SOPs. Manage and coordinate the procurement of laboratory supplies and equipment, as well as for special projects. Ensure all instrument maintenance is performed and documented; administer all established quality control procedures; and troubleshoot instruments effectively when appropriate. Maintain medical laboratory supplies inventory, determine inventory level, and anticipate needed supplies. We'll give you: Appreciation for your work A feeling of satisfaction that you've helped people Opportunity to grow in your profession Free lab services for you and your dependents Work-life balance, including Paid Time Off and Paid Holidays Competitive benefits including medical, dental, and vision insurance Help saving for retirement, with a 401(k) plus a company match A sense of belonging - we're a community! Scheduled Weekly Hours: 40 Work Shift: Job Category: Laboratory Operations Company: Sonic Healthcare USA, Inc Sonic Healthcare USA is an equal opportunity employer that celebrates diversity and is committed to an inclusive workplace for all employees. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, age, national origin, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
    $150k-195k yearly Auto-Apply 3d ago
  • Scientist, Discovery Science

    Volastra

    Senior principal scientist job in New York, NY

    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.
    $130k-150k yearly Auto-Apply 31d ago
  • Scientist, Molecular Profiling

    Immunai 4.0company rating

    Senior principal scientist job in New York, NY

    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: ***************************************
    $105k-140k yearly 14d ago
  • Associate Scientist, Chemical & Process Sciences - Port Newark, NJ

    Dsm-Firmenich

    Senior principal scientist job in Newark, NJ

    Associate Scientist - Chemical & Process Sciences Join us as an Associate Scientist, Chemical & Process Sciences, where you'll independently conduct and analyze lab experiments, collaborate on process scale-up, and drive innovation in a safety-focused, growth-oriented environment. Ideal for hands-on chemists passionate about process improvement and teamwork in a sustainable, leading-edge company. **Your Key Responsibilities:** + Plan and design experiments in alignment with supervisor guidance. + Set up and operate laboratory equipment-including glassware and high-pressure reactors-largely independently to conduct experimental procedures. + Analyze samples using gas chromatography (GC) and wet chemistry analytical techniques. + Compile, interpret, and present experimental data to the supervisor. + Interact with production personnel (operators, shift leaders) as needed during process industrialization and troubleshooting. + Maintain overall laboratory housekeeping, ensuring a safe and organized work environment. + Manage timely ordering and proper handling of laboratory supplies. **We Bring:** + A rich history and a promising future of bold scientific innovation and passionate creation with our customers; + A space to grow by encouraging and supporting curiosity and an open mindset; + A culture that prioritizes safety and well-being, both physically and mentally; + The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose; + An eagerness to be one team and learn from each other to bring progress to life and create a better future; + We offer competitive pay, career growth opportunities, and outstanding benefit programs. **You Bring:** + M.S. in Organic Chemistry or a closely related field with at least 1 year of industrial experience, B.S. degree in Chemistry with at least 3-5 years of industrial experience will be considered. + Exceptionally qualified new graduates will also be considered. + Hands-on experience in synthetic chemistry and separation operations, such as fractional distillation, is required. + Curious and open-minded, with excellent communication skills and a team-player spirit + Ability to work largely independently, with strong organizational skills, the ability to set priorities, and a results-oriented approach + Passion for process improvement and precision + Background in industrially relevant organic chemistry + Good written and oral presentation skills + Strong interpersonal skills and a collaborative attitude The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $97,000-$139K. **About dsm-firmenich** At dsm-firmenich, we don't just meet expectations - we go beyond them. Join our global team powered by science, creativity, and a shared purpose: to bring progress to life. From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere. And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future. Because real progress only happens when we **go beyond, together** . **The application process** Interested in this position? Please apply online by uploading your resume in English by December 15, 2025. **Inclusion, belonging and equal opportunity statement** At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong. We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve. We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you. And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work. **Agency statement** We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role
    $97k-139k yearly 33d ago
  • Research Scientist

    Dyania Health

    Senior principal scientist job in Jersey City, NJ

    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.
    $75k-113k yearly est. Auto-Apply 60d+ ago
  • Principal Scientist

    Icon Plc 4.8company rating

    Senior principal scientist job in New York, NY

    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
    $75.5k-94.4k yearly 60d+ ago
  • AI Research Scientist-Sr. Associate

    JPMC

    Senior principal scientist job in New York, NY

    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)
    $65k-98k yearly est. Auto-Apply 60d+ ago
  • AI Research Scientist - Natural Language Processing (NLP) - Senior Associate

    Jpmorgan Chase Bank, N.A 4.8company rating

    Senior principal scientist job in New York, NY

    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) JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Base Pay/Salary New York,NY $137,750.00 - $195,000.00 / year
    $137.8k-195k yearly 1d ago
  • AI Research Scientist (Value Addition)

    Worldquant 4.6company rating

    Senior principal scientist job in New York, NY

    WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: WorldQuant offers an exciting opportunity for a research scientist to join the Value Addition team. The team has created and operates Worldquant's investment evaluation system - allocating capital across Portfolio Managers, selecting alpha signals for use in trading, providing a database to portfolio managers for strategy creation, dashboards used by researchers to assess their performance, and customized analytical reports for senior management - leading to increased efficiency, focus and growth across the organization. Reporting directly to the firm's Chief Strategy Officer, the individual will be part of a dynamic group of researchers and business leaders on the cutting edge of quantitative finance. Together they enable the firm to measure the value added at each layer of the investment process - from data to strategies and beyond - and reflect WorldQuant's ethos of optimization. As a research scientist at WorldQuant, you will make a cross-functional impact and have the opportunity to: Build mathematical (optimization/machine learning/statistical) models for investment entity evaluation and resource allocation across them Contribute code implementations and maintain existing code for evaluation models Create on-demand analytical reports and produce business commentary on investment entities Operate recurring entity evaluation pipelines Access a variety of software and hardware resources and state-of-the-art systems What You'll Bring: Graduate-level calculus, linear algebra, optimization and machine learning algorithms knowledge Graduate-level research experience in a quantitative field Machine learning models research and operations experience Experience working with “large” datasets (>100G CSV) Excellent knowledge of Python, NumPy and Pandas Experience with at least one of: XGBoost, LightGBM, CatBoost, Tensorflow, PyTorch, MOSEK, CVXPY Experience with at least one of: Intel MKL, JAX, PySpark, Dask, Ray, ClickHouse, Vertica, Arrow C++ knowledge is a plus Passion for reasonable accuracy-explainability trade-offs in models Willingness to explain and defend employed models, their interpretation and business value to the team and stakeholders Ability to run full-length research work: from business idea, through data collection and model implementation, to tangible business data produced at regular frequencies Experience in applying AI techniques to multi modal data and draw insights to support management decision making Our Benefits: Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401(k), fully paid parental leave, generous PTO with unlimited sick days Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code Training: learning and development courses, speakers, team-building off-site Employee resource groups WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. The estimated salary range for this position is $150,000 to $200,000 which is specific to New York and may change in the future. When finalizing an offer we will take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package. #LI-JG1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
    $150k-200k yearly Auto-Apply 60d+ ago
  • Associate Research Scientist | Functional Genomics

    Jackson Laboratory 4.3company rating

    Senior principal scientist job in New York, NY

    JAX/NYSCF is seeking an Associate Research Scientist to join the Functional Genomics team as part of the NYSCF Global Stem Cell Array, a robotic system that automates both iPSC derivation, gene editing, and downstream differentiations. The Associate Research Scientist will contribute to an innovative project centered on phenotyping cardiomyocytes derived from genetically diverse human induced pluripotent stem cell (hi PSC) lines. This work aims to uncover the genetic basis of cardiotoxic responses and to advance predictive models of cardiovascular health through high-throughput functional screening, transcriptomics, and metabolomics. The project is highly collaborative, involving multidisciplinary teams across several institutions. The primary focus of the work you'll do at JAX/NYSCF is developing automated protocols for the derivation/culture of iPSC-derived cardiomyocytes, drug testing, and sample preparation for downstream analyses, including imaging and single-cell sequencing. We want candidates with extensive expertise in human pluripotent stem cell culture, directed differentiation into cardiomyocytes, and functional assays. Experience with cell culture automation (including liquid handling systems) or high-throughput assays is a major plus. This role offers a unique opportunity to work with state-of-the-art screening technologies and automated platforms while contributing to impactful translational research in cardiac safety pharmacology and personalized medicine. As a Associate Research Scientist on the Functional Genomics team, you will: * Design, optimize, and execute experiments to advance a high-throughput iPSC-derived cardiomyocyte platform * Culture and expand iPSCs, generate iPSC-derived cardiomyocytes, and assess cardiomyocyte quality using automated liquid handling systems * Apply strong scientific knowledge and analytical skills to monitor, troubleshoot, and refine experimental workflows in real time. * Independently conduct literature reviews to identify and propose innovative experimental methods, procedures, or technologies * Contribute to project planning by preparing budgets, timelines, and resource estimates for supplies and equipment * Lead multiple, concurrent project components, ensuring progress toward research goals * Evaluate and document results, adapt methodologies as needed, and maintain compliance with regulatory standards * Communicate research goals and findings effectively, guiding team members and informing collaborators on past and future directions * Coordinate with external partners to explore new research opportunities Foster a collaborative environment by sharing expertise and demonstrating openness to learning from others Minimal requirements * PhD +3 years of work experience in Cell Biology, Molecular Biology, Biomedical Engineering, or a related discipline. * Experience with induced pluripotent stem cells or cardiomyocytes/ iPSC-derived cardiomyocytes. * Strong communication skills, with the ability to clearly explain research findings and methodologies in both written and verbal formats, as well as effectively discuss, troubleshoot, and resolve experimental challenges with team members and collaborators. * Ability to follow and adapt protocols accurately. * Excellent documentation and data management practices. Preferred experience: * Experience in differentiation of iPSC culture in cardiovascular lineages. * Exposure to automated cell culture systems (liquid handlers) * Electrophysiology experience is a plus * Flow cytometry Please submit a Cover Letter and CV for application consideration. Pay Range: $65018 - $108857 per year, dependent upon experience. About JAX: The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit ************ EEO Statement: The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.
    $65k-108.9k yearly Auto-Apply 1d ago
  • Research Scientist, Generative Worlds

    Deepmind

    Senior principal scientist job in New York, NY

    Snapshot Help us build generative models of the 3D world. World models power numerous domains, such as media generation, visual reasoning, simulation, planning for embodied agents, and real-time interactive experiences. Work with us to build better versions of Gemini, Genie, and Veo, while also exploring new, spatial modalities beyond images and videos. The Role Key responsibilities: Conduct research to build generative multimodal models of the 3D world. Solve essential problems to train world models at massive scale: build and train large-scale systems for data annotation, curate and annotate training datasets, build and maintain large model training infrastructure, develop scaling ladders and training recipes, develop metrics for spatial intelligence, enable real-time interactive experiences, study the integration of spatial modalities with multimodal language models, and of course: actually train massive-scale models. Areas of focus: 3D computer vision, spatial annotation systems Spatial representations Training large-scale transformers Generative pixel and latent models Infrastructure for large-scale data pipelines and annotation. Quantitative evals for spatial accuracy and intelligence. Model scaling, efficiency, distillation, training infrastructure About you We seek individuals who are passionate about large-scale generative models and believe spatial understanding and generation are on the path to intelligence. We strive for simple methods that scale and look for candidates excited to improve models through infrastructure, data, evals, and compute. In order to set you up for success as a Research Scientist/Engineer at Google DeepMind, we look for the following skills and experience: MSc or PhD in computer science or machine learning, or equivalent industry experience. Experience with large-scale transformer models and/or large-scale data pipelines. Track record of releases, publications, and/or open source projects relating to video generation, world models, multimodal language models, or transformer architectures. Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems. Demonstrated experience in large-scale training of multimodal generative models. In addition, the following would be an advantage: Experience building training codebases for large-scale video or multimodal transformers. Expertise optimizing efficiency of distributed training systems and/or inference systems. Strong background in 3D representations or 3D computer vision Strong publication record at top-tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV). A keen eye for visual aesthetics and detail, coupled with a passion for creating high-quality, visually compelling generative content.
    $62k-93k yearly est. Auto-Apply 51d ago
  • AI Research Scientist

    Your Personal Ai

    Senior principal scientist job in New York, NY

    We are looking for an AI Research Scientist to join our AI Solutions department at Your Personal AI. As an AI Research Scientist, you will be responsible for developing cutting-edge AI algorithms and models to drive innovation in our AI solutions. Conduct research to advance the field of artificial intelligence Design and implement AI algorithms and models Collaborate with cross-functional teams to integrate AI solutions Stay up-to-date with the latest AI trends and technologies If you are passionate about AI research and have a strong background in machine learning and deep learning, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team that is shaping the future of AI solutions. Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Proven experience in AI research, including developing algorithms and models. Proficiency in programming languages such as Python, Java, or C++. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Ability to work independently and collaboratively in a fast-paced environment. Demonstrated track record of innovation and creativity in AI projects. Familiarity with deep learning frameworks like TensorFlow or PyTorch. Prior experience with data analysis and visualization tools. Knowledge of natural language processing and computer vision is a plus.
    $62k-93k yearly est. 60d+ ago
  • Research Scientist

    Us Physicsx

    Senior principal scientist job in New York, NY

    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.
    $62k-93k yearly est. Auto-Apply 18d ago
  • Research Scientist, World Models

    Basis Research Institute

    Senior principal scientist job in New York, NY

    About Basis Basis is a nonprofit applied AI research organization with two mutually reinforcing goals. The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles. The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future. To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first. About the Role Research scientists lead Basis' efforts to develop a deeper understanding of the conceptual, mathematical, and computational principles of intelligence. We are looking for people who are technically excellent, and who value probing concepts at their foundations. Our research scientists/engineers aspire to do rigorous, high-quality, robust science, but are not afraid to tinker, make mistakes, and explore radically different ideas in order to get there. Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone. Research Focus Despite the increasing recognition that both having and discovering world models are central to intelligence, current AI systems struggle to replicate this human capability. There remains significant uncertainty about what precisely constitutes a world model, how we might reliably detect if an agent possesses one, and crucially, how we can develop agents that learn these models rapidly and reliably. Our research within the MARA project aims to develop new foundations and technologies for modeling, abstraction, and reasoning in AI systems. MARA's overarching goal is to uncover principled methods for how intelligence constructs, refines, and utilizes world models through interactive experimentation. Building these systems will demand advances in knowledge representation, abstraction, reasoning, active learning, reinforcement learning, and a first-principles rethinking of what it means to model the world. The immediate mission of MARA is to solve concrete challenges such as AutumnBench, physical and simulated robotics benchmarks, and the Abstract Reasoning Corpus (ARC), with the broader mission of building systems capable of learning in an open, growing portfolio of domains using human-comparable amounts of data and interaction. Who we're looking for Researchers holding a PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields. Strong background in areas such as program synthesis, probabilistic programming, machine learning, AI reasoning systems, and cognitive modeling. Experience in developing AI systems that combine neural and symbolic methods is highly valued. Interest in foundational AI research and its applications to modeling, abstraction, and reasoning. Individuals with a demonstrated track record in scientific research, evidenced through publications, technical reports, or impactful software projects. Excited about solving real world problems and having positive societal impact. Responsibilities Conduct independent and collaborative research focused on the MARA project. Develop new methods and algorithms for modeling, abstraction, and reasoning in AI systems. Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics environments, the Abstract Reasoning Corpus (ARC), and other domains. Disseminate research findings through academic publications and presentations at leading conferences. Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects. Develop and maintain open-source software (Optionally) Publish and present findings in journals and conferences Contribute to the culture and direction of Basis Role Details Exceptional candidates who may not meet all of the following criteria are still encouraged to apply. FT/PT: This is a full-time position In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events. Location: This role is in-person in either New York City or Cambridge, MA. Salary range: Competitive salary. Start date: Immediate start possible. Privacy Notice By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes. Read our full Global Data Privacy Notice here .
    $62k-93k yearly est. Auto-Apply 53d ago
  • Research Scientist

    Ataraxis Ai

    Senior principal scientist job in New York, NY

    Ataraxis is an AI precision medicine company working at the intersection of multi-modal artificial intelligence and oncology. We develop and deploy AI-native tools to assist physicians in selecting the most optimal treatments for their patients. Our mission is to change how cancer is treated and impact at least 50% of new cancer cases by 2030. Our first test for breast cancer patients was developed and evaluated in a validation study on over 8,000 patients from 15 international institutions. Ataraxis Breast was shown to improve the accuracy of gold standard tests by 30% and enable testing expansion to 100,000 new patients annually. At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. At Ataraxis, you will join an exceptional team at the forefront of healthcare-focused AI research and deployment. As a frontier AI lab, we bring together leading AI researchers, medical doctors, and industry veterans. Our advisors include AI pioneers such as Yann LeCun and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine. Ataraxis has raised $24 million in funding, including a recent $20.4 million Series A round led by top venture capital funds such as AIX Ventures (Hugging Face, Perplexity), Thiel Capital, Founders Fund (OpenAI, SpaceX, Palantir, Oscar Health), and Obvious Ventures (Recursion). Our company was recently covered in an exclusive story in TechCrunch, "Not all cancer patients need chemo." We are an AI-native company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential. Responsibilities Design and implement novel machine learning models and methods for self-supervised learning, survival analysis, multi-modal learning, causal inference and interpretability. Translate machine learning and statistics papers into production-ready code. Build robust model evaluation frameworks and monitor model performance. Disseminate the results by co-authoring research papers and abstracts. Collaborate with a multidisciplinary team of engineers and scientists. Co-mentor our team of research engineers. Qualifications PhD degree in machine learning or statistics. Passion for research, attention to detail and ability to drive tasks to completion. Strong preference will be given to candidates with papers in A* conferences (e.g. ICML, ICLR, NeurIPS). Excellent understanding of core machine learning concepts. Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning. Excellent skills in Python and PyTorch. Experience in deep learning and at least one of {self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference, model interpretability, computational pathology}.
    $62k-93k yearly est. Auto-Apply 60d+ ago
  • Research Scientist - VLM Generalist

    Stability Ai

    Senior principal scientist job in New York, NY

    About the Role We're looking for a Research Scientist with deep expertise in training and fine-tuning large Vision-Language and Language Models (VLMs / LLMs) for downstream multimodal tasks. You'll help push the next frontier of models that reason across vision, language, and 3D, bridging research breakthroughs with scalable engineering. What You'll Do Design and fine-tune large-scale VLMs / LLMs - and hybrid architectures - for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction. Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning). Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies. Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production. Publish impactful research and help establish best practices for multimodal model adaptation. What You Bring PhD (or equivalent experience) in Machine Learning, Computer Vision, NLP, Robotics, or Computer Graphics. Proven track record in fine-tuning or training large-scale VLMs / LLMs for real-world downstream tasks. Strong engineering mindset - you can design, debug, and scale training systems end-to-end. Deep understanding of multimodal alignment and representation learning (vision-language fusion, CLIP-style pre-training, retrieval-augmented generation). Familiarity with recent trends, including video-language and long-context VLMs, spatio-temporal grounding, agentic multimodal reasoning, and Mixture-of-Experts (MoE) fine-tuning. Awareness of 3D-aware multimodal models - using NeRFs, Gaussian splatting, or differentiable renderers for grounded reasoning and 3D scene understanding. Hands-on experience with PyTorch / DeepSpeed / Ray and distributed or mixed-precision training. Excellent communication skills and a collaborative mindset. Bonus / Preferred Experience integrating 3D and graphics pipelines into training workflows (e.g., mesh or point-cloud encoding, differentiable rendering, 3D VLMs). Research or implementation experience with vision-language-action models, world-model-style architectures, or multimodal agents that perceive and act. Familiarity with efficient adaptation methods - LoRA, adapters, QLoRA, parameter-efficient finetuning, and distillation for edge deployment. Knowledge of video and 4D generation trends, latent diffusion / rectified flow methods, or multimodal retrieval and reasoning pipelines. Background in GPU optimisation, quantisation, or model compression for real-time inference. Open-source or publication track record in top-tier ML / CV / NLP venues. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
    $62k-93k yearly est. Auto-Apply 38d ago
  • Research Scientist

    Physicsx

    Senior principal scientist job in New York, NY

    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.
    $62k-93k yearly est. Auto-Apply 26d ago

Learn more about senior principal scientist jobs

How much does a senior principal scientist earn in Hempstead, NY?

The average senior principal scientist in Hempstead, NY earns between $73,000 and $144,000 annually. This compares to the national average senior principal scientist range of $83,000 to $169,000.

Average senior principal scientist salary in Hempstead, NY

$103,000
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