Senior scientist jobs in Oyster Bay, NY - 920 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 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.

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

Job Title: Biological/Chemical Scientist Pay rate: $44/hr.W2 Duration: 6 Months With possible Extension Shift timings: 9AM -5 PM Ensures analyses of materials and ingredients.* Ensures performing of prescribed chemical or biological procedures, in production environment.* Ensures adherence to established internal rules and guidelines, and to EHS standards. * Ensures taking protocols and storing in appropriate files. * Contributes to implement new testing, mixing procedures. Impacts: Needs professional technological, economical or scientific know how, methods, tools and principles, and applies to differing and variable situations. Needs to solve assigned, non-routine tasks, to contribute to projects or assignments, or to support development of guidelines, methods, tools or business processes. Key Responsibilities: "Experienced Professional" These positions are expected to contribute to and deliver business processes or detailed technology solutions, in a self-managed and target-oriented manner, and thus contributes to team results. Positions focusing on analysing, developing, testing or implementing processes, technologies and systems in their specific field of expertise, from first principles. Targets are short to medium term (best to be characterized as milestones), and achievements are monitored. They may provide functional advice to and integrate services of operational staff or semi-professional colleagues. Typically, these functions review to 2 to 5 years of relevant experience in their field of work and qualification. Experience: 2+ years or Master Entry. Knowledge: Good knowledge in a technical field or business method including the basic theoretical background. Recommended experience in pipetting, data analysis, and instrument/lab maintenance. Develops basic business understanding. Contributes to team effort, awareness of expected value add. May improve processes, business methods or technical components

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you'd have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Salary Range: $218,000.00 - $257,000.00 What's the role? We're looking for a Staff Applied Scientist I to join our Machine Learning Team for Growth. In this role, you'll lead initiatives focused on leveraging machine learning to drive business growth across multiple channels-think messaging notifications, SEO, and paid advertising - anything in the realm of growing Etsy. You'll be pioneering new solutions from the ground up, staying abreast of the latest research, and owning the end-to-end ML lifecycle-from data extraction to production deployment. This is a full-time position reporting to the Senior Engineering Manager, Growth ML. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy's Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of ou r team. Learn more details about our work modes and workplace safety policies here. What's this team like at Etsy? We're scrappy and product-minded: we collaborate with teams who aren't steeped in ML, and bring a clear ML vision that drives real business outcomes. We stay close to the latest research-not to chase novelty, but to find proven techniques we can apply to real problems and ship effective solutions fast We focus on taking projects from 0 to 1 in areas and product spaces where ML is just getting started-think message notifications/campaigns, paid ads optimization, and generally driving traffic to Etsy via ML solutions. With 100+ million users and billions of messages and ads sent each month, our work directly impacts Etsy's growth at a massive scale. We value creative problem-solvers who are eager to tackle real-world challenges-backed by practical habits like code reviews, documentation, and thoughtful testing to help ideas scale. What does the day-to-day look like? Take solutions from 0 to 1: You'll be comfortable working in ambiguous problem spaces, experimenting, and driving projects from an initial idea to a fully operational ML product. You are comfortable proving out ideas quickly as well as establishing long term solutions. Leverage existing ML infrastructure and partnerships with platform teams to build scalable and modular ML systems Track cutting-edge ML research and bring back ideas we can actually use to build smarter, faster, and more impactful solutions. GenAI, Advanced RecSys, GraphML - all of it is on the table. Productionize ML solutions: Develop robust systems for training, deploying, and monitoring ML models at scale. Collaborate cross-functionally: Work closely with other disciplines like Data Engineers, Product Managers, Marketing, and other stakeholders to align projects with broader product goals. ETL and data analysis: Build critical data pipelines, perform exploratory analysis, and ensure data quality and reliability - especially for model training data. Experimentation and measurement: Design and execute A/B tests to measure the effectiveness of ML-driven features, iterating quickly based on findings. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualities that will help you thrive in this role are: Proven track record in ML: You have 8+ years of experience building and deploying ML solutions. You're familiar with modern ML frameworks (such as TensorFlow or Torch), distributed computing, and cloud environments. Strong coding skills: You write robust, production-quality code (Python, Scala, Java, or equivalent). You're experienced with tools like Spark, GCP, and Airflow. Hands-on experience across the pipeline: From data extraction and preprocessing to training, evaluating, and deploying models in production environments. Bigquery and Scala experience is a plus. Comfort in ambiguity: You excel in situations where the scope is not fully defined, proactively finding clarity and driving forward. Experience in search or recommender systems: Preferred but not required. This could include ranking algorithms, personalized recommendations, or large-scale search optimization. Advanced degree in ML or related field: Preferred but not required. We recognize relevant industry experience can be just as valuable. Collaboration and communication: You can articulate complex concepts to both technical and non-technical audiences and enjoy working on cross-functional teams. If you're excited about using machine learning to propel growth, enjoy taking on new and ambiguous challenges, and want to drive real impact, we'd love to hear from you! You genuinely enjoy solving hard problems, improving real user experiences, and using modern tools to build smart-not needlessly complex-solutions. Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

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 a Research Scientist with experience in 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 neural interface drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution. This technology will become one of the main pillars for interaction with the virtual and augmented world.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals (i.e., electromyography or EMG), 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.EMG signals are similar in many ways to other neural signals and audio signals and can be analyzed using many of the same approaches. For example, the task of transcribing characters typed on a keyboard from wrist-based EMG is closely analogous to that of automatic speech recognition. We're looking for people who want to shape the future of this technology and explore this exciting new territory with us. **Required Skills:** Machine Learning Research Scientist - IC7 - Neuromotor Interfaces Responsibilities: 1. Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, etc.) to advance neuromotor interface products 2. Collaborate with engineering and research teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences 3. Use quantitative research methods to define, iterate upon and advance key areas of our research agenda 4. Develop research-grade code for deployment in research prototypes 5. Work across organizational boundaries to solve our biggest problems **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. PhD in one of the following fields: artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields 8. Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas) 9. Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly **Preferred Qualifications:** Preferred Qualifications: 10. 8+ years of experience in designing, executing, interpreting, and presenting ML research 11. Demonstrated experience of identifying new opportunities for the larger organization & influencing the appropriate people 12. 4+ years of experience as technical lead for a project of 4 or more individuals 13. Experience bringing machine learning-based products from research to production 14. Experience with interdisciplinary collaboration 15. Significant experience in the analysis and modeling of high dimensional time series, such as neural signals, multi-channel audio recordings, multi-modal/multi-sensor signals, robotic sensory signals, financial time series, video, or other sensor modalities 16. Experience with speech enhancement, speech recognition, speech synthesis, source separation, audio event detection and classification, language modeling, or related topics 17. Experience with real-time signal processing 18. Experience with large scale cluster computing for machine learning modeling 19. Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration 20. Experience in software engineering in industry 21. Experience with scientific communication tools (Jupyter, Matplotlib) **Public Compensation:** $219,000/year to $301,000/year + bonus + equity + 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.

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.

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll drive original research at the boundaries of AI, working on new models, algorithms, and architectures for reasoning in complex environments. Your work will shape the scientific agenda of the lab and inform everything we build. You'll have autonomy to pursue fundamental research and see your ideas deployed in real-world settings. Responsibilities Formulate and explore open questions in deep learning, reinforcement learning, and agent-based AI. Develop novel architectures, algorithms, and theoretical insights. Collaborate with engineers to implement, experiment, and iterate rapidly. Publish, present, and contribute to the broader research community. Mentor and support the next generation of technical talent. Requirements Demonstrated track record of impactful AI/ML research (e.g., papers, open-source, or novel deployments). Deep expertise in at least one of: LLMs, RL, agent-based systems, generative modeling, theory of intelligence. Strong mathematical background (probability, optimization, statistics). Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX). Ability to turn theory into robust, practical code. Up-to-date on the latest research in LLMs from reading papers, articles, or re-implementing breakthroughs. Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

COMPANY Volastra Therapeutics, Inc. is a clinical-stage oncology biotech company based in New York City, pioneering novel approaches to treating cancer by targeting chromosomal instability (CIN), a unique vulnerability in cancer. Since its founding in 2019, Volastra has grown to support ongoing discovery efforts and a growing clinical organization. Our lead pipeline programs focus on two distinct inhibitors of KIF18A, a novel therapeutic target. VLS-1488, internally discovered, entered clinical trials in Q4 2023 for the treatment of advanced cancers. Sovilnesib, in-licensed from Amgen in 2023, re-entered the clinic in Q2 2024. Both assets have been granted Fast-Track Designation by the FDA. Volastra is also developing new techniques to understand the biology of chromosomal instability and leveraging these insights to drive forward a preclinical pipeline of therapies against innovative targets. Volastra is backed by top US and European venture firms such as Arch, Polaris, Vida, Droia, Catalio, and B Capital, alongside strategic investment from Eli Lilly. In addition to venture funding, Volastra has established partnerships with oncology leaders. Our senior leadership team is highly experienced, supported by a world-class advisory board. We are headquartered in West Harlem, New York City, within easy reach of Columbia, Cornell, Memorial Sloan Kettering, and surrounding areas. Please visit ****************** for more information. JOB DESCRIPTION: The role of Scientist of Discovery Science will report to the Senior Scientist/Senior Lab Manager in close collaboration with the Chief Scientific Officer and the rest of the Discovery Team, and work towards the successful execution of preclinical development programs. As a scientist, you will play a central role in turning foundational CIN biology into new medicines. You will design, execute, and interpret rigorous experiments that validate targets, elucidate mechanism of action, and accelerate progression from hit/lead to in vivo proof‑of‑concept. This is a bench‑forward position for a creative, self‑directed experimentalist who thrives in a fast‑moving biotech setting and loves collaborating across chemistry, biochemistry, DMPK, in vivo pharmacology, and computational biology. Volastra is a fast-paced biotech company of passionate employees, and there is ample opportunity for the ideal candidate to grow and develop with the organization. Individuals will have, from time to time, the opportunity to gain experience with projects outside their direct scope of work. Job is based in NYC and requires a minimum of 80% in office time. RESPONSIBILITIES: * Participate in key discovery workstreams from target validation through early pharmacology; design clear, decision‑driving experimental plans and timelines. * Interrogate mechanism using genetic perturbation (e.g. CRISPR/Cas9, RNAi), rescue, pathway mapping, and combination studies aligned with CIN biology. * Develop and optimize cellular assays to quantify phenotype and mechanism. * Build translationally relevant target‑engagement and PD assays to enable SAR and inform dose/PK-PD modeling for in vivo studies. * Track record of successfully managing external projects with CRO's from scoping to final data delivery * Work effectively with colleagues across the team to participate in adjacent discovery-related efforts * Provide clear updates to Discovery, Preclinical, and Leadership; write technical reports, support patent filings, and prepare data packages for milestones. REQUIREMENTS: * PhD in Molecular/Cell Biology, Biochemistry, Cancer Biology, Pharmacology or related field (or MS/BS with commensurate depth of industry experience). * 5+ years of hands-on lab experience with a range of relevant research techniques including cell-based assays and molecular biology. In vivo mouse experience is strongly preferred * Understanding of the drug development process from target identification to marketing authorization is strongly encouraged * Excellent communication, organizational, and problem-solving skills * Ability to collaborate well with team members PREFERRED EXPERIENCE: * Direct experience in CIN‑relevant biology (mitosis, microtubules/kinetochore function, replication stress, DNA‑damage response) or image‑based phenotyping * In vivo oncology familiarity (xenograft/PDX syngeneic models), PK/PD thinking, and translational biomarker awareness for discovery‑to‑development continuity. Salary Range: Approximately $130,000 - $150,000 which may vary depending on qualifications, experience, and ultimate leveling. Leveling outside of that stated may be considered for exceptional candidates on a case-by-case basis.

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

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

Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform. As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible. Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. About the role: This position offers an opportunity to work in a highly-collaborative environment with world-leading scientists developing and applying state-of-the art profiling technologies to a diverse set of projects at the intersection of the immune system and disease. The successful candidate will work in a fast-paced team and will interface closely with a multidisciplinary team of immunology, molecular biology, and bioinformatics scientists. Specifically, they will contribute to the Molecular Profiling team performing advanced molecular analyses on a diverse set of clinical and experimental samples. The successful candidate will be an excellent team player, agile in thought, energetic, and willing to learn new methods and skills. Location: New York City (On-site role) What will you do? * Augment efforts of teams using a wide range of techniques including, but not limited to immune cell isolation and processing from human specimens, cell cultures and in vitro model systems * Domain expert with single cell genomics methods, and proven experience of innovation in this field (sample optimization, protocol development). * Operation, calibration and maintenance of flow cytometers, cell sorters and related equipment and associated computational hardware * Maintenance of a complete, accurate, and timely electronic record of all experiments using an informatics management system. * Active participation in cross-functional team meetings and effective communication with other members of the lab, computational biology, and software team * Expected to deliver impactful presentations to other colleagues including senior leadership Requirements Required qualifications: * 4-6 years of experience in Molecular Biology or Immunology; * MS with 2-4 years relevant experience, PhD with 1+ years of post-PhD experience is preferred. * Experience with protocols for sample and library preparation for single cell multiomics and familiarity with NGS processes. Additionally, familiarity with high-throughput, automated single cell profiling workflows is preferred. * Experience working with tissue samples, including single cell dissociation. * Experience with sectioning, staining (immunohistochemistry, fluorescence microscopy, in situ hybridization), imaging and basic image analysis is a distinct advantage * Familiarity with high throughput lab data management (e.g. Benchling) * Strong analytical skills, problem solving ability, and innovation aptitude required * Must be willing to discover and learn new software and technology applications quickly * Must have strong attention to detail and an ability to multitask * Ability to collaborate closely with interdisciplinary individuals from a broad range of backgrounds * Ability to work independently with minimal supervision * Ability to work successfully in a fast-paced environment * Excellent interpersonal skills and ability to effectively work as part of a team are essential * Excellent organization and time management skills Desired personal traits: * You want to make an impact on humankind * You prioritize "We" over "I" * You enjoy getting things done and striving for excellence * You collaborate effectively with people of diverse backgrounds and cultures * You have a growth mindset * You are candid, authentic, and transparent Compensation: This position offers a salary typically between $105,000 - $140,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills. * Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform SparkHire. You can read more about how we process personal data here: ***************************************

We are seeking a dedicated scientist to perform in vivo studies using mouse models of autoimmunity. You will be responsible for processing organs for immune cell isolation and analysis, maintaining, expanding, and/or modulating cells, and evaluating them using in vitro assays. Your role will include the analysis of data utilizing biological and statistical software such as FlowJo, Excel, and Prism. The position requires close collaborative interactions with various teams across the organization, along with meticulous documentation of experimental procedures and results. Responsibilities + Conduct in vivo studies with mouse models focusing on autoimmunity. + Process organs for immune cell isolation and analysis. + Maintain, expand, or modulate cells and evaluate using in vitro assays. + Analyze data using biological and statistical software like FlowJo, Excel, and Prism. + Collaborate closely with teams across the organization. + Document experimental procedures and results accurately. Essential Skills + Proficiency in in vivo assays, dosing, and injections. + Experience with in vitro techniques and flow cytometry. + Familiarity with biological and statistical software such as FlowJo, Excel, and Prism. Additional Skills & Qualifications + BS/MS degree with 5+ years of industry experience. + Training in the proper handling and care of mice, including blood and tissue sample collection, is strongly preferred. + Experience with tissue culture, cell-based assays, and flow cytometry is desirable. Work Environment Join a highly collaborative team focused on autoimmunity, immune cell biology, and tissue immunity within the Immunology & Inflammation Group. Engage in cutting-edge immunological research contributing to human health. Work in a vivarium and laboratory environment, onsite 5 days per week from 8am to 5pm. Enjoy a dynamic and supportive work culture with state-of-the-art facilities including a gym, cafeteria, and plans for a fully staffed daycare in five years. Benefit from opportunities for growth and comprehensive employee packages including stock options, bonuses, and 401k match. Contract employees receive accrued sick and vacation time, along with observed holidays. Job Type & Location This is a Contract position based out of Tarrytown, NY. Pay and Benefits The pay range for this position is $45.00 - $60.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Tarrytown,NY. Application Deadline This position is anticipated to close on Jan 21, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

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.

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)

Biophysical Assoc Scientist needs 2+ years experience Biophysical Assoc Scientist requires: College degree in science related field or equivalent laboratory experience. Proficient MS Excel, Word, PowerPoint and File Explorer Ability to learn and develop comfort with various instrumentation software. Careful adherence to established procedures and proposed experimental design. Detail oriented and manual dexterity when working with instruments and samples. Demonstrating integrity in performing tasks to produce repeatable data. Excellent organizational and communication skills. Biophysical Assoc Scientist duties: Collects samples and prepares hair swatches to perform methods adhering to a set procedure. Performs technical procedures to measure product performance on hair with variety of lab equipment. Analyzes data, performs statistical calculations, and draws conclusions to substantiate claims.