Principal research scientist jobs in Islip, NY - 1,432 jobs

New York or San Francisco Who we are: Our name is inspired by Theodore Roosevelt's ‘Citizenship in a Republic' speech, which pays homage to the ‘(hu)man in the Arena'. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause. We're a close-knit team of scientists and builders redefining the future of hardware engineering. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena. What we do: Our collective future is being built in the physical world, but the builders of tomorrow's technology can no longer rely on yesterday's tools. At Arena, we're building the world's first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we\u2019re rapidly already scaling into the defense, automotive, and aerospace industries, and we're just getting started. About the role: As a Principal Research Scientist, Electromagnetism, you will lead the architecture, training, and validation of our electromagnetic foundation model, bridging numerically solved physics equations, neural operators, and product-grade simulation. How you will contribute: Design FNO/AFNO/Deformation-FNO/U-FNO multiscale operator architectures with embedded physical constraints Implement causality/passivity enforcement and uncertainty calibration Proprietary Training Data Corpora Specify coverage targets Work with Arena's Platform Engineering team to orchestrate solver farms and synthetic generation Work with Arena Electrical Engineers to define a set of requirements and interface for physically-generated training data via hardware-in-the-loop test campaigns Develop sim-to-real calibration using for example VNA/near-field/BER measurements Evaluation & Validation Build automated accuracy and constraint eval suite Own releases and reporting Optimization & Performance Profile inference latency and throughput Leadership & Documentation Author design docs, experiments, and technical reports Qualifications You have: PhD or equivalent research track in Electrical Engineering, Applied Physics, Computer Science, or Applied Math Proven expertise building and training large foundation models Experience with FNO and/or Neural Operators Understanding of EM solvers (FEM/FDTD/MoM) Strong Python, PyTorch/JAX, C/C++ for bindings Proven record of physics-constrained ML or scientific simulation deployment [Preferred] Prior work on passivity/causality enforcement in learned models [Preferred] Familiar with PDN, high-speed channel design, and EMI compliance testing [Preferred] Experience and familiarity with high performance principles (e.g. Slurm for scheduling, message passing workloads, etc.), and cloud service provider HPC ecosystems (e.g. AWS Batch, Elastic Fabric Adapter, etc.) 100% of the monthly premium for Aetna medical insurance, plus vision and dental coverage 401(k) Retirement Plan Unlimited PTO Lunch every day from local restaurants via Sharebite Relocation support provided (NYC or SF) Benefits Salary: The base salary range for this position is $250,000 - $350,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages. Additional benefits: relocation support, health insurance options, and retirement plan offerings as listed above. #J-18808-Ljbffr

Job Title: Product Development Specialist Starting: 10/20/2025 Pay Comments: Minimum Pay (per hour): 55.00 Maximum Pay (per hour): 65.95 Duration: 6 months (may extend) Job Description: Responsibilities: The Product Development Scientist will: Be responsible for identifying technical solutions and delivering product formulation and scale up needs for the innovation and renovation project portfolio. Partner with Marketing to leverage and translate sensory and consumer insights into products from concept to launch. Lead overall product development initiatives from bench top formulation to scale up. Support associated industrialization trials in close collaboration with Quality. Represent the R&D team as subject matter expert for product development and product knowledge transfer to the factories. Collaborate internally and externally to build strong relationships to continuously improve technical capabilities and facilitate agile project management. Work closely with procurement team to ensure new suppliers/ingredients are qualified for use in current/future formulations. Qualifications: • Bachelor's degree required in Food Science, food engineering or related field • Minimum 7-10 years of relevant work experience in product development, process scale up, quality, or manufacturing in CPG setting (Beverage development highly preferred) • Strong project management experience with the ability to manage multiple projects concurrently and in matrix environments • Demonstrated competency in managing complexity and ambiguity • Communicates in a timely, concise, and effective manner, both written and verbally. • Strong interpersonal and leadership skills. Ability to effectively interface at all levels, with strong ability to influence with integrity, especially across functions. • Ability to facilitate meetings, conference calls and present effectively to groups at all levels • Strong computer skills, including the use of Microsoft Word, Excel, Project, and PowerPoint as well as SAP • Understanding of financials (COGs, basic P&L understanding) • Six Sigma Certification, GSTD/DMAIC, FI experience a plus. • Ability to travel, approximately 15% throughout the year. Key responsibilities for this position include, but are not limited to: • Lead consumer-focused new product/formula development projects for all domestic brands (Pure Life, Saratoga, Mountain Valley, Splash Refreshers Still & Sparkling, Poland Springs, Deer Park, Zephyrhills, Ozarka, Ice Mountain, Sparklettes, and Arrowhead). • Set and manage product development project plans and facilitate execution to ensure projects are completed on time and within budget • Hands on benchtop beverage development, scale up and industrialization • Collaborate cross-functionally with Marketing, Quality, Engineering, Purchasing, Regulatory and Legal while leveraging external resources from ingredient suppliers, co-manufacturers and other 3rd party resources to deliver project results and innovative new product formulations. • Lead the qualification of 3rd party flavor houses, develop RFP/Briefs for new flavor/ingredient opportunities. • Lead ingredient, product recipe and specification development deliverables through industrialization phase • Manage technical direction of projects; identify /communicate key deliverables and next steps. • Manage complex business relationships with ingredient, process technology partner companies, contract developers and manufacturers, consultants, vendors, cross-functional departments, and outside experts in support of achieving consumer needs and effective project execution. • Effectively prioritize and manage multiple projects concurrently varying in length. • Utilize the Primo Brands stage gate innovation framework to ensure full compliance with the Quality Management System and adhere to all relevant Primo Brands Technical Instructions for new product development initiatives. • Support on-going operations with recipe/ingredient specification changes and the qualification of new ingredients. The target hiring compensation range for this role is $55.00 to $65.95 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

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

The Staff Scientist will prepare grant applications and other scientific communication materials on a wide range of genomic research topics. This role is deeply immersed in the science of NYGC and supports our research team in building and expanding a successful, independently-funded research base. They collaborate with diverse teams of students, postdoctoral fellows, and principal investigators, and relates scientific and strategic goals to individual grant opportunities and other research communications vehicles. Typical grants include individual investigator, multi-PI and research center grants. Key Responsibilities Takes a lead role in preparation and project management of individual and multi-investigator proposals; Provides advice on grantsmanship, editorial support and standardized language for administrative sections; Identifies opportunities for funding Manages the scientific writing process, including proposal management, team-building and coordination; establishing timelines and deliverables; Provides draft preparation, review and revision of grants and scientific writing. Coordinates with and supports Sponsored Research staff to ensure timely, accurate application submission. Edits manuscripts, fellowship applications, research progress reports, clinical research protocols and other research communications materials. Interacts with lab members to independently develop new grant proposals. Organizes small group meetings with lab members to review project progress, plan experiments, and integrate team data. Assists in the design and planning of functional genomics and genetic perturbation experiments; and, Assists in analysis and figure preparation of diverse types of data, including high-throughput sequencing, microscopy images, gel images, and schematic diagrams. Key Responsibilities include (but are not limited to): PhD in genetics, genomics, cancer biology, neuroscience or related discipline required; 5+ years research experience, including contributing to grant writing, required. NIH experience strongly desirable; Exceptional written communication skills required to prepare and edit competitive grant applications, publications, administrative materials, and other research communications; Ability to grasp complicated technical subjects, synthesize diverse lines of evidence and apply these abilities to technical writing required; Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred; Experience with standard grant development concepts, practices, and procedures in a research environment preferred; Applied statistics background required, to perform power calculations and develop quantitative metrics for genomic assays; Ability to collaborate with diverse teams of investigators and administrative personnel required; and, Strong project management skills and experience required. Competencies Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations, and delivers on commitments. Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so. Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $62,000-78,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

Your work will change lives. Including your own. The Impact You'll Make Recursion is a leading TechBio company that is transforming drug discovery by using AI and automation to find new medicines. Its powerful platform combines different technologies to create one of the world's largest proprietary collections of biological and chemical data. By running millions of lab experiments each week and using one of the most powerful supercomputers in the world, Recursion brings together technology, biology, and chemistry to revolutionize medicine. We are looking for an experienced and motivated scientist to join our computational physics team, which is essential for designing molecules in our pipeline by supporting active drug discovery projects. This team also develops and implements cutting-edge methods to keep our platform at the forefront of computational sciences. In this role, you will: * Lead the development and implementation of advanced computational physics methods into efficient and scalable workflows, to address challenging drug discovery problems and drive project success * Collaborate with software engineers and drug designers in multidisciplinary teams to deliver scientific solutions to complex technical problems * Keep up with the latest scientific developments, assess new technologies for their use in internal workflows, and devise plans for their implementation * Communicate your work to both internal and external audiences to guide decisions and contribute to the scientific community The Team You'll Join You will become an essential member of the Computational Physics team, which supports several phases of drug discovery, from initial hypothesis to lead optimization. The team's goal is to build highly accurate and automated atomistic models and pipelines to obtain crucial molecular-level insights for advancing drug candidates. We employ physics-based and physics-informed models, such as molecular dynamics simulations, absolute and relative binding free energy methods, metadynamics, MM/PBSA, and quantum-mechanical calculations, to enable cost-effective and scalable structure-based drug discovery. We work closely with design teams and collaborate with partners like the AI experts at the Frontier Hub, making our highly accurate methods more accessible and scalable for all. The Experience You'll Need * PhD in Chemistry, Physics, Computational Chemistry, Computational Physics, or a related subject area * Excellent programming skills in Python for tool development * Proven track record in the development of molecular simulation or computational chemistry tools * Basic knowledge of drug discovery processes and the application of molecular simulations in this field * Experience in deploying and orchestrating large-scale jobs using compute clusters or cloud-based infrastructures Working Location & Compensation: This is an office-based, hybrid role in our New York office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $129,000 to $163,300. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-EP1 The Values We Hope You Share: * We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. * We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. * We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. * We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. * We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. * We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

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:** $184,000/year to $257,000/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.

We are conducting a research study aimed at improving smart glasses technology for people with disabilities, specifically those with hearing loss. We are looking for individuals with low to moderate hearing loss to participate and help us test and provide feedback on our smart glasses prototype.Who We're Looking For: Adults (18 years or older) with mild to moderate hearing loss Comfortable using wearable technology or open to trying it Able to provide feedback and participate in a guided user experience session No prior experience with smart glasses needed Up to 3 hours of active commitment What You'll Do: Wear and interact with a prototype of smart glasses Complete tasks or activities while using the device Share your experience and provide feedback in a short interview or survey Why Participate: Be part of a project that advances accessibility and inclusive technology Your input will directly influence how we design assistive devices for the Deaf and hard of hearing community Receive compensation for your time and effort $70 - $75 an hour We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

ANNOUNCEMENT Research Scientist III Salary Grade 25: $92,055 - 111,115 The Research Foundation for Mental Hygiene, Inc. is seeking a qualified candidate to fill the full-time position of Research Scientist III in the New York State Office of Addiction Services and Supports (OASAS), Division of Planning, Research, Information Management, and Evaluation (PRIME) in response to the continuing overdose crisis. OASAS is calling for new approaches that embrace person-centered care, evidence-based practices, equitable treatment, and harm reduction principles. OASAS envisions a revised treatment system that better retains clients in treatment, mitigates adverse healthcare events, and reduces deaths. To this end, OASAS is embarking on a new collaboration with New York University (NYU) on a National Institutes of Health (NIH) grant to support the transformation of the data architecture and reporting across the OASAS system of care. This Research Scientist III will be responsible for working closely with PRIME leadership in employing data science approaches, techniques, and methods to develop substance use and use disorder measures that reflect agency wide needs in reporting and evaluation. A successful candidate thrives in a highly collaborative, diverse cross-team work environment; has experience in data systems management and process improvement; demonstrates adaptability with the capacity to handle multiple demands and changes in a dynamic fast-paced environment; and has strong organizational, writing, and oral communication skills. Responsibilities include but are not limited to: * Lead a research team within the OASAS Division of Planning, Research, Information Management, and Evaluation (PRIME) and collaborate with the New York University (NYU) research team. * Collaborate with PRIME leadership, responsible for institutional clinical research priorities, goals and key performance indicators. * Utilize advanced research methods, identify gaps between recommended performance measures and existing data collection methods. * Develop and implement innovative solutions to bridge these gaps and ensure robust data collection for research and evaluation purposes. * Oversee independently the preparation documents related to research activities, including study protocols, progress reports, and briefs to OASAS staff on data system development milestones. * Interface with cross-agency staff to define objectives and identify best practices. * Facilitate relationships with providers, community representatives, and other stakeholders contributing to data collection and database management. * Perform other related duties & responsibilities as assigned/requested. Minimum Qualifications: * A Bachelor's degree from an accredited college or university in a relevant social science and four years research, evaluation, or data management experience; OR * A Master's degree or J.D. from an accredited college or university in a relevant social science and a minimum of three years of research, evaluation, or data management experience; OR * A Ph.D. from an accredited college or university in a relevant social science and a minimum of two years of research, evaluation, or data management experience. * Two years of experience in organizing, managing, and analyzing quantitative data using descriptive statistics evidenced * One year of experience of supervising Preferred Qualifications: * Demonstrate experience conducting program evaluations from start to finish is required, including samples of final products/reports. * Expertise in the use of SAS, R or SQL. * Experience working in culturally diverse communities is an asset. * Experience in substance use epidemiology and substance use disorder treatment modalities is an asset. * Expertise in the use of Microsoft Excel, Word, and Power Point. * Able to calculate, interpret and communicate statistics from data systems and provide findings in a variety of formats to both technical and general audiences. * Able to understand, interpret, and critique empirical findings. * Able to learn more advanced data skills independently and as needed for data projects. Location: 501 7th Avenue, New York, NY 10018 To Apply: Submit an application through our website at *********************************** . Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.

Syensqo is all about chemistry. We're not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet's beauty for the generations to co We are looking for: We are seeking a motivated and detail-oriented Research Scientist to join our Polymer Additives team. We count on you for: * Hand-on technical lead on new NPI (New Product Introduction) product development meeting project's targeted technical performance * Lead cross-functional project teams to develop and commercialize new NPI products into core * and adjacent markets as Project Leader following the stage-gate process * Investigate and develop new additive formulations providing leading edge performance * Develop and analyze data, drawing sound conclusions and uncovering unexpected * performance benefits * Hands-on participation in lab operations including polymer processing, data acquisition, data * summary, data analysis, preparation of presentations and reports * Document, maintain and update laboratory project database * Identify IP potential for new technologies and file patent application as appropriate * Prepare and present presentation on new products at conferences * Write company reports and monthly reports * Develop high level of industry knowledge in all core market segments * Develop subject matter expertise (SME) in designated market segments * Engage in innovation dialogue with key customers * Maintain calibration and maintenance schedule for designated PA laboratory equipment You can count on us for: * We offer the opportunity to join an exciting growth company * A full range of benefits as expected of a successful company * Opportunities for growth and learning * Encouraging a diverse and inclusive workplace culture that values and respects individual differences and backgrounds * Long-lasting excellent customer relations, self-dependent working, and a variety of tasks in one of the world's leading chemical companies. You will bring: * Minimum B.S. degree in chemistry, polymer science & engineering, or relevant science or engineering field, advanced degree preferred * Minimum of 2+ years of relevant work experience in technical area * Practical polymer formulation and polymer processing experience preferred o Polymer Processing: extrusion, injection molding, rotomolding, etc. o Polymer Testing: MFI, color, gloss, physical properties, etc. o Testing Protocols: artificial weathering, thermal aging, etc. * Proven working knowledge of most additives used in polymers * Prior experience with rotational molding strongly preferred * Practical knowledge of polyolefin chemistry, production processes, properties, fabrication processes, and their use preferred * Practical knowledge and experience in intellectual Properties (IP) * Demonstrated Project Leadership skills in leading cross-functional project teams from product development to commercialization following the stage-gate (NPI) process * Strong track record of success in developing and launching new products * Understanding of application of AI / Machine Learning tools to new product and process development is a strong plus. Skills and competencies: * Project leadership skills * Analytical skills: This role requires special insightful analysis of data * Analytical data interpretation: TGA/DSC, SEM, HPLC/GC, FTIR, UV-Vis, etc. * Excellent problem solving and troubleshooting skills * Excellent communication and presentation skills * Ability to bring new ideas and concepts to a project * Ability to engage in innovation dialogues with customers * Work well in a team setting * High level of creativity and curiosity * Proactive, collaborative, entrepreneurial, dynamic, flexible, and able to multitask * Highly motivated with self-driven learning capacit * Customer focus - dedicated and sensitive to the customer needs You will get: * Competitive salary and benefits * The U.S. base salary range reasonably expected to be paid for this position is $85,000.00 to $140,000.00 per year. Since actual compensation packages are based on a variety of factors unique to each candidate we may ultimately pay more or less than the posted base salary range. Total compensation for this role also includes bonus and/or other incentives. * 16, or more, weeks of maternity/paternity and co-parenting leave, according to local regulations * Training platform for all employees * Free well-being sessions (physical and psychological) Additional Information: Travel up to 10% About us * Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity. * At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply. * Syensqo is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristics. Nearest Major Market: Bridgeport Nearest Secondary Market: Danbury

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

JobID: 210666609 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 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)

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.

- 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.

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 As an AI Researcher specializing in generative models for materials discovery at Radical AI, you will help the development of the first commercial foundation model for materials science. Your role involves pioneering the application of generative models in the field of materials science, in particular by leveraging flow matching, diffusion, and LLMs. You will develop novel models and training techniques tailored for atomistic data in materials science. Your responsibilities include designing and conducting large-scale experiments to validate the most promising approaches in generative modeling. Collaborating closely with our engineering and computational materials science teams, you will play a crucial role in transitioning state-of-the-art models from research to production. 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 Lead and develop our generative foundation models in materials discovery. Work in collaboration with various teams, in particular the quantum chemistry team, the atomistic simulation team, the engineering team, and the experimental team. Conduct large-scale experiments to validate and refine promising approaches, collaborating closely with engineers to implement these models in production. Develop rigorous benchmarks to validate and test the performance of our models. 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. 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 deep learning and generative models. At least 3 years of research experience in AI, with a proven track record in generative modeling, particularly in fields adjacent to materials science. Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching. Demonstrated experience in designing and running large-scale experiments in AI and machine learning. Passionate about leveraging ML for science related problems and a commitment to doing world-class research. 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 Prior experience in transitioning AI research into production environments. 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. Salary Description Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Disclosure 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 the Role We're looking for a Research Scientist with a strong foundation in geometry processing and a deep interest in how modern learning systems can represent and reconstruct shape. You'll work at the intersection of discrete and differential geometry, shape tokenization, and generative modelling, developing methods for unwrapping, remeshing, and reconstructing 3D geometry that are compact, controllable, and scalable. What You'll Do Research and develop AI-assisted geometry processing pipelines for UV unwrapping, remeshing, geometric reconstruction, and shape generation. Design learning-based representations for geometry (meshes, point clouds, implicit fields) that capture structure, topology, and correspondence. Develop token- or patch-based encoders for shape representation, enabling compression, editing, and reconstruction from learned codes. Integrate learned geometry modules into generation and reconstruction frameworks, ensuring geometric validity and multi-view consistency. Build training and evaluation pipelines with quantitative metrics for distortion, reconstruction fidelity, and mesh topology quality. Collaborate with graphics, simulation, and ML teams to bring new geometry models into creative and production pipelines. Contribute to publications, benchmarks, and internal best practices in geometry + AI research. What You Bring PhD (or equivalent experience) in Computer Graphics, Geometry Processing, Machine Learning, or a related field. Deep understanding of discrete and differential geometry, including remeshing, surface parameterization, and geometric optimization. Experience with learning-based geometry representations (e.g., geometric autoencoders, tokenization, learned unwrapping, or generative reconstruction). Strong engineering skills: proficiency with PyTorch/JAX, geometry/mesh libraries, and large-scale experiment pipelines. Ability to bridge classical geometry processing with modern learning-based techniques and apply them to practical 3D workflows. Bonus / Preferred Research or open-source work in learning-based UV unwrapping, remeshing, or geometry reconstruction. Experience developing generative 3D models or integrating learned geometry modules into diffusion / flow-matching frameworks. Familiarity with implicit neural representations, differentiable rendering, or geometry-aware latent spaces. Experience integrating geometry systems into 3D toolchains (e.g., Blender, Unreal, Unity) or graphics pipelines. 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.

Role As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML R&D for SmarterDx and establish shared infrastructure to accelerate research efforts across the team. What You'll Do * 45% Hands-on implementing new methods and relevant baseline models (ML Research) * 20% Working cross-functionally to deploy models into production (MLOps, MLE) * 20% Data Science (data engineering, dataset curation, experimental design, model updates, product domain expertise) * 15% Academics & Outreach (e.g., scientific reading & writing, publishing, presenting at conferences, recruiting) * Become a domain expert at clinical data and the healthcare ecosystem * Own end to end model development including deployment into production and production monitoring, learning Machine Learning Operations (MLOps) * Post training to align large language models (LLMs) on proprietary clinical data * Develop new self-supervised pre-training tasks for improving models * Develop novel retrieval, attribution and hallucination detection strategies for generative models * Develop novel methods for explaining and summarizing diagnostic classifications * Develop methods for selecting data sources to include in training (data-centric AI) * Develop novel graph-based algorithms for improving classification of diseases and procedures with few or no labels * Develop novel methods for multimodal data fusion (structured and unstructured data) * Long-sequence language modeling What You Bring * Desire to translate research into tangible positive impact by deploying research into production engineering systems (MLOps) * With scientific concepts, technical debugging or domain knowledge, ability and desire to communicate clearly and proactively when conveying or receiving * Deep "under-the-hood" understanding of modern neural network architectures and distributed training. ie knows the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, Megatron vs nanotron vs DeepSpeed * Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc * Ability to assess, understand and create high-quality machine learning research, as demonstrated through publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, ar Xiv) Nice To Haves * MLSys skills ie knows the differences between tensor vs pipeline vs data parallelism, gloo vs mpi vs nccl, CUDA vs ROCm, Triton vs ThunderKittens * Familiarity with inference optimizations, ie vLLM, SGLang, continuous batching, KV Caching, speculative decoding Our Tech Stack * PyTorch, Python, GitHub, Snowflake, Huggingface Transformers, AWS Sagemaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, Kubernetes Compensation $200-220k+ base salary #LI-Remote

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data. What You'll Do: We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third. Other duties as assigned or needed. Skills You'll Need: 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX Intellectual curiosity, versatility, and originality combined with a pragmatic outlook Ability to reason through quantitative problems and communicate effectively with trading researchers Reliable and predictable availability Bonus Points Experience with HPC and distributed large model training Experience with GPU performance optimization (CUDA or ROCm) Experience with end-to-end model development, especially in LLMs Prior academic publications and/or contributions to open-source AI research Strong opinions on best practices in ML research, tooling, and/or infrastructure Benefits - Discretionary bonus eligibility - Medical, dental, and vision insurance - HSA, FSA, and Dependent Care options - Employer Paid Group Term Life and AD&D Insurance - Voluntary Life & AD&D insurance - Paid vacation plus paid holidays - Retirement plan with employer match - Paid parental leave - Wellness Programs Annual Base Salary Range $200,000-$300,000 USD

About the Company: Acutis Diagnostics is a leading clinical laboratory committed to advancing precision medicine through accurate, timely, and innovative diagnostic testing. Specializing in toxicology, molecular diagnostics, and infectious disease testing, we empower healthcare providers with the data they need to make informed decisions. Our team is driven by a shared mission to improve patient outcomes and support the evolving needs of healthcare through science, service excellence, and cutting-edge technology. About the Role: The Research & Development Scientist - Toxicology Diagnostics will play a critical role in advancing Acutis' testing capabilities by refining existing toxicology assays for improved quality, sensitivity, and cost efficiency, while also developing new assays that meet emerging clinical and forensic needs. This role requires deep scientific knowledge, hands-on laboratory expertise, and the ability to translate research findings into validated, scalable diagnostic assays. Job Reponsibilities: Assay Optimization & Refinement Evaluate and optimize existing LC-MS/MS, immunoassay, and chromatographic assays used in toxicology diagnostics Enhance assay performance with respect to accuracy, precision, sensitivity, specificity, turnaround time, and cost Implement improvements that support operational efficiency and compliance with regulatory standards New Assay Development Design and develop new toxicology assays aligned with clinical demands, testing menus, and emerging drug trends Conduct feasibility studies, method development, method validation, and technology transfer to clinical operations Partner with cross-functional teams to support product launches and new diagnostic offerings Scientific & Technical Leadership Monitor advances in toxicology testing, emerging analytes of concern, and new diagnostic technologies Maintain deep technical expertise in mass spectrometry, molecular toxicology, and sample preparation techniques Provide troubleshooting support for complex assay-related challenges Regulatory & Quality Compliance Generate and maintain method SOPs, validation reports, and technical documentation Ensure all assay development and validation activities align with NYS DOH, CLIA, CAP, and other applicable standards Support internal audits, inspections, and ongoing quality initiatives Collaboration & Communication Partner with lab operations, QA/QC, and commercial teams to ensure successful implementation of assays Present scientific data and proposals to leadership and internal stakeholders Train laboratory staff on newly developed methods and workflows Salary Range: $65,000 - $75,000/year