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Medical Laboratory Technician Location: Clifton, NJ Agency: TalentBurst Inc. Pay: Competitive weekly pay (inquire for details) Start Date: 3/9/2026 About the Position Technical Lab - Medical Laboratory Scientist Duration: 3 months Location: Clifton NJ 07012 Shift: Tu-Sa; 9am-530pm Summary: JOB RESPONSIBILITIES: 1. Follow the laboratory's procedures for specimen handling and processing, test analyses, reporting and maintaining records of patient test result; 2. Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens; 3. Analyze specimens using approved testing procedures (see department SOPs). 4. Review and release test results. 5. Follow CLIA, HIPAA, OSHA, and safety guidelines as described in their respective guidelines. 6. Adhere to the laboratory's quality control policies, document all quality control activities, instrument and procedural calibrations and all maintenance performed; 7. Follow the laboratory's established policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance. 8. Identify problems that may adversely affect test performance or reporting of test results, correct the problems encountered or immediately notify the senior technologist or supervisor. 9. Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications. 10. Follow department's procedure in reporting STATS or Critical results to clients. 11. If applicable, answer questions from customers or other lab personnel. 12. Maintain complete records of all testing performed on-site. 13. Maintain general appearance of the department. 14. Make sure reagents/test kits have received dates, expiration dates, and if applicable opened dates. 15. Review/train on new procedures. 16. Attend monthly department and any additional training/educational meetings. 17. Participate in all applicable safety training sessions. Know the location and contents of the safety manual. Know the location/use of all applicable safety equipment. 18. If needed, participate in government or regulatory agency inspections. 19. Perform other duties as directed by supervisor. Required Knowledge: A solid understanding of basic laboratory testing is required for this position. The successful candidate must possess good computer skills and be able to adapt to working in multiple computer systems. Must have knowledge of QC and QA as well as knowledge of all areas of the laboratory. Education: BS in Medical Technology preferred; or BS/BA in Chemistry or Biology, or Associates degree in a Laboratory Science or Medical Technology, or Previously qualified as a Technologist under 42 CFR 493. 1433 published in March 14, 1990. Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation). United States educated candidates must provide a detailed original transcript. A successful candidate should possess or be eligible for national certification as an MT / MLT from a recognized organization (ASCP or AMT). Work Experience: 1 year Clinical experience (high complexity testing) preferred. Minimum of 1 year of clinical laboratory experience in highly complex testing for those with BS/BA in Chemistry or Biology. National and State licensure as required. Special Requirements: 1. Must have the ability to establish work priorities and handle several procedures simultaneously. 2. Must interact with other departments. 3. Contact with clients may be required, good customer service skills are important. 4. Must protect patient confidentiality at all times. Phlebotomist, Phlebotomy, Phlebotomist Technician, Phlebotomy Technician, Mobile Phlebotomist, Medical Assistant, Technician, Certified Phlebotomy Technician #PB07 PB07 #TB_HC

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.

Senior Applied AI Scientist Fully Remote - HQ in New York, New York $190,000-210,000 base salary + equity THE COMPANY Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies. THE ROLE • You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals, • You will report directly to senior leadership and work closely on technical direction, • Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications, • You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling, • You will play an integral role of building out the AI team and scaling out its product, • Act as a thought leader role for AI across the business, mentoring junior team members YOUR SKILLS AND EXPERIENCE The successful Senior Applied AI Scientist will likely have the following skills and experience: • 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems, • Experience working in a scaling startup is preferred, • Expertise in Python (TensorFlow, PyTorch) for production-grade work, • Commercial experience building novel AI platforms with large datasets, • History of working with and managing real-time AI applications in production settings, • Cloud experience in AWS, Azure or GCP, • DevOps exposure with CI/CD pipelines preferred, • History of working on models from concept to production / end-to-end / 0-1, • Applied research background in a commercial setting required, • Publication and/or patent history highly preferred, • Experience in settings wearing multiple hats, • Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred, • History of partnering with non-technical stakeholders required, • Experience owning projects, • PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar THE BENEFITS A competitive base salary of $190,000-210,000 + benefits + equity HOW TO APPLY Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page. KEYWORDS Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Hackensack Meridian Health is seeking a Nephrology Transplant Physician Scientist to join our prestigious Center for Discovery and Innovation (CDI) and the Division of Organ Transplantation at Hackensack University Medical Center. This unique dual-role position combines cutting-edge basic and translational transplant/immunology research with clinical excellence in nephrology, caring for pre- and post-renal transplant patients and living kidney donors. The physician scientist will serve as a key member of our multidisciplinary transplant team alongside physicians, coordinators, administrators, and specialized support staff. Scientific Responsibilities – Assistant Member, HMH Center for Discovery & Innovation • Conduct impactful basic or translational research in transplant/immunology., • Pursue grant funding and philanthropic support to sustain laboratory operations., • Lead and oversee laboratory processes, research staff, budgeting, and financial management., • Establish strategic research goals aligned with the clinical goals of the Division of Organ Transplantation., • Hold regular oversight meetings with the Chief Scientific Officer and Director of Transplantation., • Develop and implement laboratory policies, procedures, and personnel decisions., • Mentor and evaluate lab staff performance., • Participate in professional activities, including consulting, editorial work, training, study sections, seminars, and national/international conferences. Clinical Responsibilities – Attending Nephrologist, Division of Organ Transplantation • Evaluate potential living donor and transplant recipient candidates., • Provide inpatient and outpatient care for pre- and post-transplant donors and recipients., • Teach fellows, residents, nurses, students, and multidisciplinary staff., • Collaborate to ensure full compliance with all regulatory standards., • Participate in policy development, research initiatives, and departmental protocols., • Serve as a resource and representative for organ donation and transplantation at institutional and community events., • Engage regularly with hospital personnel, patients, and visitors. Education & Experience: • MD or equivalent foreign degree., • Completion of an Internal Medicine Residency and Transplant Fellowship, • Consideration for applicants with strong transplant experience during/after a Nephrology Fellowship., • Minimum 3 years in a funded research program., • Demonstrated success securing NIH and/or foundation funding., • Peer-review experience (manuscripts, grants, editorial boards, or review committees)., • Minimum of 15 scientific publications, with majority as first or last author. Licensure & Certification: • Board Certified in Internal Medicine., • Board Certified or Board Eligible in Nephrology., • Eligible for New Jersey Medical License. HOW TO APPLY: Submit Cover Letter and CV for immediate consideration to: Nancy Massa, Physician Recruiter Email: Phone: 732-890-9339 (Call or Text) HMH is committed to pay equity and transparency for our team members. The minimum base salary for this position is $316,154. The posted rate of pay in this job posting is a reasonable good-faith estimate of the minimum base pay for this role at the time of posting in accordance with the New Jersey Pay Transparency Act and does not reflect the full value of our market-competitive total rewards package. The starting rate of pay is provided for informational purposes only and is not a guarantee of a specific offer. Posted hourly rates may be stated as an annual salary in the offer and posted annual salaries may be stated as an hourly rate in the offer, depending on the level and nature of the job duties and credentials of the candidate. The base compensation determined at the time of the offer may be different than the posted rate of pay based on a number of non-discriminatory factors, including but not limited to: Labor Market Data: Compensation is benchmarked against market data to ensure competitiveness. Experience: Years of relevant work experience. Education and Certifications: Level of education attained, including specialized certifications, credentials, completed apprenticeship programs or advanced training. Skills: Demonstrated proficiency in relevant skills and competencies. Geographic Location: Cost of living and market rates for the specific location. Internal Equity: Compensation is determined in a manner consistent with compensation ranges for similar roles within the organization. Budget and Grant Funding: Departmental budgets and any grant funding associated with the job position may impact the pay that can be offered. Some jobs may also be eligible for performance-based incentives, bonuses, or commissions not reflected in the starting rate. Certain positions may also be eligible for shift differentials for work performed on evening, night, or weekend shifts. In addition to our compensation for full-time and part-time (20+ hours/week) job positions, HMH offers a comprehensive benefits package, including health, dental, vision, paid leave, tuition reimbursement, and retirement benefits.

Title: Medical Laboratory Scientist Location: Clifton, NJ Duration: 6+ months Federal Contract Work in Lab: No Is Position Eligible for Remote Work?: No State of Credentials Licenses Required: None Shift/Time Zone: The schedule will be Sunday to Thursday: 4pm-12:30am Monday-Friday: 9am-5:30pm They will be training Monday to Friday, but will eventually transition to Sunday to Thursday. Is this a hospital site that requires additional credentialing?: No JOB RESPONSIBILITIES: 1. Follow the laboratory's procedures for specimen handling and processing, test analyses, reporting and maintaining records of patient test result;, 2. Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens;, 3. Analyze specimens using approved testing procedures (see department SOPs)., 4. Review and release test results., 5. Follow CLIA, HIPAA, OSHA, and safety guidelines as described in their respective guidelines., 6. Adhere to the laboratory's quality control policies, document all quality control activities, instrument and procedural calibrations and all maintenance performed;, 7. Follow the laboratory's established policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance., 8. Identify problems that may adversely affect test performance or reporting of test results, correct the problems encountered or immediately notify the senior technologist or supervisor., 9. Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications., 10. Follow department's procedure in reporting STATS or Critical results to clients., 11. If applicable, answer questions from customers or other lab personnel., 12. Maintain complete records of all testing performed on-site., 13. Maintain general appearance of the department., 14. Make sure reagents/test kits have received dates, expiration dates, and if applicable opened dates. 15. Review/train on new procedures., 15. Attend monthly department and any additional training/educational meetings., 16. Participate in all applicable safety training sessions. Know the location and contents of the safety manual. Know the location/use of all applicable safety equipment., 17. If needed, participate in government or regulatory agency inspections., 18. Perform other duties as directed by supervisor. Required Knowledge: A solid understanding of basic laboratory testing is required for this position. The successful candidate must possess good computer skills and be able to adapt to working in multiple computer systems. Must have knowledge of QC and QA as well as knowledge of all areas of the laboratory. Education: BS in Medical Technology preferred; or BS/BA in Chemistry or Biology, or Associates degree in a Laboratory Science or Medical Technology, or Previously qualified as a Technologist under 42 CFR 493. 1433 published in March 14, 1990. Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation). United States educated candidates must provide a detailed original transcript. A successful candidate should possess or be eligible for national certification as an MT / MLT from a recognized organization (ASCP or AMT). Work Experience: 1 year Clinical experience (high complexity testing) preferred. Minimum of 1 year of clinical laboratory experience in highly complex testing for those with BS/BA in Chemistry or Biology. National and State licensure as required. Special Requirements: 1. Must have the ability to establish work priorities and handle several procedures simultaneously., 2. Must interact with other departments., 3. Contact with clients may be required, good customer service skills are important., 4. Must protect patient confidentiality at all times. #TB_HC #ZR

Job Description SUMMARY Seeking a Temporary Associate Scientist to support cosmetic formulation and product development initiatives within a laboratory environment. This role focuses on researching ingredients, developing and improving formulations, conducting product testing, and ensuring regulatory alignment. The ideal candidate is scientifically curious, detail-oriented, and motivated to contribute to innovative personal care solutions while collaborating across internal teams. RESPONSIBILITIES • Investigate new and existing raw materials to support formulation objectives, • Prepare cosmetic lab batches for development, testing, evaluation, and stability studies, • Scale formulations from lab to pilot levels while maintaining product integrity, • Adjust and refine current formulas to enhance stability, performance, and sensory attributes, • Conduct laboratory experiments to assess ingredient functionality and product efficacy, • Optimize formulations to achieve targeted characteristics such as texture, viscosity, and appearance, • Support in-vitro and in-vivo testing activities and assist with data collection and analysis, • Partner with internal evaluation teams to coordinate product and consumer testing initiatives, • Monitor emerging ingredient technologies and market trends to inspire innovation, • Perform scientific literature reviews and share findings with cross-functional teams, • Collaborate with commercial teams to align formulation development with customer and market needs, • Ensure formulations comply with applicable regional and global cosmetic regulations, • Review safety documentation and maintain organized records to support regulatory requirements, • Communicate technical findings clearly through written reports and presentations QUALIFICATIONS • Bachelor’s degree in Chemistry, Cosmetic Science, Biology, or a related scientific discipline, • 0–2 years of experience in cosmetic or personal care product development, • Foundational knowledge of ingredient functionality and formulation principles, • Experience with laboratory techniques such as stability testing and analytical evaluation, • Strong analytical skills with the ability to interpret experimental data, • Effective written and verbal communication skills, • Proficiency in Microsoft Office applications, • Ability to manage tasks independently while contributing within a collaborative team environment BENEFITS • Hands-on experience in cosmetic research and formulation development, • Exposure to regulatory processes and real-world product testing protocols, • Opportunity to work alongside experienced R&D and cross-functional professionals, • Skill development in laboratory techniques, ingredient evaluation, and data analysis, • Valuable industry experience that strengthens future career opportunities in personal care and cosmetic science EXPERTISE: Our Staffing Consultants are specialists in Human Resources, Scientific/Medical Device, Engineering, Insurance and Business Operations placement. STAFFING OPTIONS: Spectrum offers a number of staffing options including, Direct Hire, Contract, Temp, Retained Search, Recruiting Process Outsourcing (RPO) and Pay-Rolling (Payroll Transfer). CANDIDATE COMMITMENT: Spectrum is committed to working with the top candidates and contractors in the country and developing a working relationship with them to secure the career opportunities that will match their skills, experience and personal aspirations. OPEN POSITIONS: To apply online for our career opportunities go to our job board. SPECIALTIES: Areas of specialization include: Human Resources, Scientific/Medical Device, Engineering, Insurance and Business Operations placement.With over thirty-five years of Recruiting, Staffing and HR Consulting experience providing nationwide service to many of the largest organizations in the country, Spectrum has achieved a level of experience and expertise that benefits our clients, candidates and contractors. Through an in depth analysis of our client’s organization, we develop an understanding of the skills and experience required for the successful candidate or contractor. \r\n\r\nEXPERTISE: \r\nOur Staffing Consultants are specialists in Human Resources, Scientific/Medical Device, Engineering, Insurance and Business Operations placement. \r\n\r\nSTAFFING OPTIONS: \r\nSpectrum offers a number of staffing options including, Direct Hire, Contract, Temp, Retained Search, Recruiting Process Outsourcing (RPO) and Pay-Rolling (Payroll Transfer).\r\n \r\nCANDIDATE COMMITMENT: \r\nSpectrum is committed to working with the top candidates and contractors in the country and developing a working relationship with them to secure the career opportunities that will match their skills, experience and personal aspirations.\r\n\r\nOPEN POSITIONS:\r\nTo apply online for our career opportunities go to our job board. : \r\nAreas of specialization include: Human Resources, Scientific/Medical Device, Engineering, Insurance and Business Operations placement.

As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. We're looking for a dedicated and ambitious data science leader to help u

Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling. Experience building and productionizing innovative end-to-end Machine Learning systems. We are passionate about using innovative economics, machine learning, and scalable distributed softwar

The Small Molecule Analytical Research and Development (SMAR&D) group has an exciting opportunity for a Principal Scientist based in Rahway, NJ. As a Principal Scientist, you will be part of a team developing innovative analytical methodologies for medicines based on small molecules, peptides, mRN

In this research scientist role you will join a small team of researchers performing fundamental research investigating foundation models for scientific domains.

Our Data Scientists conduct research through data mining and statistical modeling to discover insights from big data that are used by our investment professionals to make investment decisions. Our researchers, product managers, and data scientists and engineers work together to build compliant resea

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. At Scale, our mission is to develop reliable AI systems for the world's most important dec

Tatari is on a mission to revolutionize TV advertising.Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscapped, Saatva,

Meta is on the lookout for passionate Research Interns to join our dynamic Multimedia Perception team within the Applied Research sector of Meta Superintelligence Labs. Collaborate with research mentors to brainstorm ideas, review literature, and solve complex real-world research challenges. Conduct

The New York Jets are building a world-class football analytics program that turns complex data into clear, actionable decisions.As a Senior Data Scientist, you'll lead high-impact modeling and research across player evaluation, coaching support, and football strategy-while setting the technical sta

Tatari is transforming the world of TV advertising through innovative AI and machine learning solutions.Since our inception in 2016, we have partnered with top brands like Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.Our advanced platform merges smart media buying with proprietary analytics

Data Scientist, Hair Color Development, L'Oréal Research & Innovation - Clark, New Jersey.Life is too short for a boring career, so build an extraordinary one with us.We believe your career should spark the same thrill and curiosity as your personal interests.Creativity drives everything we do, tur

Typical grants include individual investigator, multi-PI and research center grants. Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred;. The Staff Scientist will prepare grant applications and othe

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. Morgan AI Research is to explore

Teamwork makes the stream work.Roku is changing how the world watches TV.Roku is the #1 TV streaming platform in the U.Canada, and Mexico, and we've set our sights on powering every television in the world.Roku pioneered streaming to the TV.Our mission is to be the TV streaming platform that connect

Join Meta's cutting-edge research team and be a part of a transformative journey in technology and business.As a Machine Learning Research Scientist, you will lead projects that redefine how people connect globally.Your responsibilities will involve proactively enhancing your assigned systems and bu

Job DescriptionWhile we don't currently have roles open on our performance team, we're always on the lookout for incredible people, and slowly building a pipeline of candidates for our Performance Technician position. If you feel your experience and interests align with the following, and you're passionate about the space we're in and the athletes we serve, feel free to leave your résumé with us here. The Performance Technician is a part-time, hands-on role responsible for the administration of performance testing batteries within our sports science facility. This position supports a critical tier of our holistic human performance assessment, producing key metrics used by our medical and performance teams. As the in-person representative of our organization, the Performance Technician plays a pivotal role in delivering an exceptional member experience. The role involves direct engagement with elite and avid athletes, guiding them through sport-specific performance tests in a way that is clear, engaging, and aligned with their goals. We’re looking for someone with high energy and enthusiasm—someone who can keep members engaged, motivated, and excited throughout the full assessment experience. Technicians are expected to follow standardized procedures, operate cutting-edge sports science technologies, collect and organize performance data, and summarize key findings for internal stakeholders. Success in this role requires a strong background in coaching, customer service, sports science, and exercise physiology, as well as a deep appreciation for holistic health and wellness in the context of athletic performance. This position is based in New York City.Education & Certifications • Bachelors in Kinesiology/Exercise Science, or similar, • Certified Personal Trainer, Certified Strength & Conditioning Specialist, Clinical Exercise Physiologist, or similarExperience, • 2+ years experience as a Sports Scientist, Sports Performance Coach, or Personal Trainer, using data to drive clinical/performance decision making2+ years experience in a customer relationship rolePersonality, • Natural Leader: Unique ability to open doors in the potential of others, guiding them and supporting them toward their best, • Adaptable Conversationalist: Highly sociable, with an organic ability to form quick relationships; can quickly read the personality-type of a member, and adapt conversation style & tone accordingly, • Consistent Bringer of Energy: Contagious enthusiasm, that motivates members to engage and participate to the top of their abilities; consistently creates a lively environment, • Detail Oriented: Incredibly organized and attentive to detail, meticulous in assessment setup, flow, delivery, and data collection; thrives in a repeatable system mentality, • Confident Salesperson: Can comfortably explain the “why” of granular tests and holistic health, in a way that is individualized and sports-specific, • Health and Performance Obsessed: walks the talk of our members; active to the point of obsession, dialed and focused on personal holistic health principles (nutrition, sleep, mental health), believes and practices the necessity of taking proactive steps to improving life-long athleticismNice to Have, • Personal experience as an avid athlete or endurance sport competitor (specifically running or cycling), • Familiarity with DEXA body composition analysisResponsibilities, • Administer the sports specific testing batteries for members, including tests specific to mobility, motor control, strength, power, and aerobic capacity, • Learn and perfect the standard operating procedures of the test batteries (setup, directions, cues), ensuring the overall testing experience is seamless and repeatable, • Efficiently and accurately organize all data and results into the internal athlete management system, • Collaborate cross functionally with the medical and performance team, to ensure the athlete’s performance (both quantitative and qualitative) is fully understood, • Continually research performance tests, to assist in perfecting the companies testing batteries from an evidence based lens

The Department of Epidemiology at Columbia University is seeking a postdoctoral researcher to work on an NIH-funded project examining the relationship between urban environmental exposures and adolescent mental health outcomes. Katherine Keyes and Andrew Rundle, the postdoctoral research scientist t

The initial appointment will be for one year and is full-time and benefitted, with potential for renewal for a second year, pending annual review of performance and continued availability of funding. Collaborate closely with leading experts in the fields of experimental immunology and computational

The appointment is renewable annually upon successful performance evalution and availability of funding. Appointment renewable annually upon successful performance evaluation and availability of funding.

This position offers the opportunity to engage in field campaigns, contribute to high-impact research, and collaborate with leading scientists in the field of ocean color and bio optical modeling. Strong computational skills in languages such as Python, MATLAB, or R.

An innovative firm is seeking a Machine Learning Research Scientist/Engineer to join their dynamic team.You will leverage your expertise in large language models and frameworks like PyTorch and TensorFlow to tackle complex machine learning challenges.This role offers the opportunity to contribute to

Area to join its research team as a Research Scientist to support highly technical research and project related activities under the direction of a senior principal investigator to ensure the successful execution of the contract project.

Tech Lead Manager, Machine Learning Research Scientist- LLM Evals at Scale AI leads a team of research scientists and research engineers to develop and implement novel evaluation methodologies, metrics, and benchmarks for large language models. Experience leading a team of research scientists and re

A leading AI research lab is seeking a Research Scientist/Engineer to advance the capabilities of their AI agent for code security.In this role, you will leverage machine learning techniques to develop innovative solutions to code security challenges.Candidates should possess a relevant advanced deg

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week OR remote, if you're located in Boston or the San Francisco Bay Area. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Works with team and manager to impact longer term strategies and roadmap, • Sets shorter term roadmap for team, • Interacts and collaborates closely with data and business counterparts across functional areas, • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processingBonus points, • Advanced degree in a quantitative or technical field This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors., • Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain., • Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models., • Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems., • Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment., • Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems., • Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units., • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Machine Learning Research Scientist / Engineer, Reasoning.At Scale AI, our mission is to accelerate the development of AI applications.For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: • Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems., • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory., • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team., • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs., • Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience., • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management., • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment., • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms., • Ability to successfully handle multiple time-sensitive projects across several disciplines. We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for an experienced, highly motivated materials scientist to join its rapidly growing team. You will have ownership over the identification, selection, and development of materials and coatings throughout the stellarator. You will be part of a team evaluating materials for various environments and eventual selection and specification of materials for production. You will be responsible for developing and maturing various material processes including joining and coatings. You will work with industry and research partners to develop the next generation of materials and coatings for use in fusion systems. The Thea Energy team is comprised of driven and creative individuals passionate about solving complex problems.Key Responsibility Areas: • Have ownership of the selection and development of near-term and long-term materials compatible with the fusion environment, • Work with engineers and researchers to explore novel materials, material joining methods, including process validation, and inspection techniques, • Work with industry partners on developing materials at a scale sufficient to meet the production deadlines, • Investigate the effects of the fusion environment on components to estimate lifetime, failure modes, inspection interval, and repair/replacement options, • Work with industry partners to develop plasma facing coatings and novel material systems, • Track and report results and progress against program goals and milestones, • Communicate and collaborate with internal and external stakeholdersIdeal Experience & Skillsets:, • M.S. in Materials Science, Nuclear Engineering, or Physics (Ph.D. preferred), • Minimum of 10 years of relevant industry or research experience, • Deep expertise in plasma-facing components (PFCs), neutron irradiation damage, or high-heat-flux materials, • Demonstrated experience with material joining techniques for complex components (brazing, welding, diffusion bonding, spray coating), • Demonstrated experience with SEM and mechanical testing techniques for metallics, ceramics, and composites, • Experience analyzing material degradation in a high-radiation environment is highly desirable, • Familiarity with HTS tape architectures or insulation materials for superconducting magnets is a plus, • Familiarity with material modeling software and techniques, • Familiarity with relevant material testing standards (e.g., ASTM, ASME) is a plus, • Experience mentoring junior engineers and conducting design reviews., • Ability to manage external vendor relationships and supply chain timelines, • Experience owning systems or processes, • Comfortable working to aggressive deadlines, • Exceptional work ethic, • Ability to execute and flourish in a fast-paced, rapidly changing environment, • Strong team member with clear communication and collaboration skills, • Innate desire to learn, innovate, and critique ideas including one’s ownCompany Benefits:, • Salary range $135,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Staff Data Product Manager, Data Platform to join our Data Platform team. Garner is fundamentally a data company with a complex web of sources and uses of data, thereby making the data platform an essential component of everything we do. This role will be responsible for the design, prioritization, and execution of the data platform, reporting directly to the Chief Product & Data Officer. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Drive the strategy, development, and execution of Garner's data platform, • Refine and oversee Garner's data governance process, • Work closely with Product, Engineering, Data, and business stakeholders to understand business requirements, • Define and work toward a long term strategy for data at Garner, including for ML and AI use cases, • Prioritize work for the Data Platform and Data Management engineering teamsThe ideal candidate has:, • 3+ years of technical product management experience building a platform serving technical stakeholders such as engineers or data scientists, • 7+ years of experience in data-driven technology, • Experience building and launching a data platform that supported data ingestion, storage, transformation, cataloging, and discovery, • Experience with establishing data management practices, including data governance and data quality management, • Strong technical background, ideally with prior hands-on experience as a software engineer or data scientist, • Proficient in SQL to conduct basic analytical research or data validation, • Previous experience working in environments with regulated data requirements, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We own outcomes, not just delivery. For our customers, we're responsible for agent performance: clinical safety, continuous improvement, measurable patient outcomes. Agents operate autonomously within bounded clinical domains, with clear scope and handoff protocols. That scope expands as we validate performance across populations. We're backed by Tier 1 investors like General Catalyst, GSV Ventures, SVA, and CohoVC. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As a Research Scientist at Amigo, you'll lead our research agenda and publication strategy. You'll design studies that validate AI agent performance, develop evaluation frameworks for clinical safety, and publish findings that set a new standard for healthcare AI research. This is a senior role focused on building Amigo's research credibility through rigorous, reproducible work. We have an opportunity to lead the field—most healthcare AI research lacks publicly available datasets and rigorous methodology. You'll change that. What you'll do * Lead research on AI agent evaluation, simulation fidelity, and safety boundary testing * Publish preprints and peer-reviewed papers at top venues * Design studies correlating agent interactions with clinical outcomes * Develop methods for detecting demographic biases in agent responses * Coordinate research collaborations with academic medical institutions * Ensure datasets are publicly available and methodologies are reproducible * Manage IRB processes and peer review submissions * Present findings at conferences and represent Amigo in the research community What we're looking for * PhD in machine learning, statistics, computational healthcare, or related field from a top program * Strong publication record at top-tier venues (NeurIPS, ICML, ICLR, AAAI, CHIL, etc.) * Experience with evaluation frameworks, benchmarking, or AI safety research * Track record of rigorous, reproducible research with public datasets * Ability to translate research findings into production improvements * Excellent written communication—clear, precise scientific writing * Experience coordinating with academic institutions Nice to have * Research experience at leading AI labs (industry or academic) * Publications on AI evaluation, safety, fairness, or healthcare ML * Experience with clinical study design or IRB processes * Background in simulation-based evaluation or synthetic data * Track record of successful academic-industry collaborations Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Daily catered lunch and dinner * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Annual team offsite * Academic collaboration opportunities * Unlimited PTO Our Core Values * Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. * High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. * Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. * Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us * Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. * Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. * High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. * Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. * Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $150K - $300K

Job DescriptionRadical 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 opportunityWe are seeking a talented and forward-thinking alloys Materials Scientist with expertise in materials research and development to join our innovative team at the forefront of interdisciplinary research. In this role, you will leverage cutting edge experimental techniques to accelerate materials discovery, design, and optimization, contributing to groundbreaking advancements in materials science.Mission • Design and execute experiments to synthesize and characterize materials, leveraging AI algorithms to guide experimental design and interpretation., • Analyze and interpret large datasets generated from experiments, simulations, and external sources to extract valuable insights into materials properties and behavior., • Work closely with AI scientists and engineers to translate materials properties, identify structure-property relationships, and optimize materials performance for specific applications., • Stay current with advancements in materials science theory and experimentation and apply new methodologies and techniques to advance research objectives., • Communicate research findings effectively through technical reports, presentations, and scientific publications, contributing to the dissemination of knowledge and the development of intellectual property.About you, • PhD or Masters degree in Materials Science, Chemistry, Chemical Engineering, Polymers, or a related field, • Strong background in materials science principles, including materials synthesis and characterization., • Deep knowledge of materials characterization and testing, as well as familiarity with laboratory safety protocols., • In-depth industry knowledge of metal synthesis, including potentials, limitations, and key process and equipment suppliers., • Specialized metallurgical knowledge and experience in metallographic and fractographic interpretation, corrosion, oxidation and materials characterization techniques is desired., • Excellent analytical and problem-solving skills, with the ability to analyze complex datasets, identify patterns, and draw meaningful conclusions., • Strong written and verbal communication skills, with the ability to convey technical concepts and research findings to diverse audiences.Pluses, • Experience with AI-driven materials research, including machine learning models for materials property prediction, materials informatics, and data-driven materials discovery., • Familiarity with one or more software languages (Python, C++, MATLAB, etc.), • Prior experience in transitioning AI + computational research into production environments.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family covered at 100%, • 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. 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.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for a highly motivated Burning Plasma Scientist to join our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to accelerate our design cycles. You will work directly with our optimization team to ensure our magnetic topologies manage fast-ion loss and heat loads effectively.Key Responsibility Areas: • Execute and analyze high-fidelity simulations using particle-following codes to assess alpha particle and neutral beam ion confinement in 3D magnetic geometries, • Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid codes and assess their impact on energetic particle transport, • Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time prediction of pressure profiles, • Collaborate with the engineering team to iterate on coil designs and divertor configurations to minimize fast-ion losses, • Develop synthetic diagnostics (e.g. Fast-Ion Loss Detectors, Neutron Cameras) to bridge the gap between our models and future experimental campaignsIdeal Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, or related field (or Master’s / Bachelor’s with equivalent research experience), • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, or MATLAB), • Creative problem solving and proven ability to thrive in collaborative environments such as startups or research groups, • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally, • Passion for advancing the field of fusion energy research, • Familiarity with kinetic, MHD or particle-following codes, • Experience developing Machine Learning surrogates for physical systems, • Familiarity with energetic particle diagnosticsCompany Benefits:, • Salary range $135,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionCompany Description Columbia University's Pre-College Programs offer high-achieving high school students the opportunity to engage in exploratory coursework at the college level, studying alongside peers from around the world. This highly selective program is open to students entering grades 9 and through the summer following their senior year. Job Description Columbia University’s Pre-College Programs for high school students is seeking qualified candidates to develop and teach on-campus courses during Summer ’26. Reporting to the Senior Director of Instruction and Curriculum for Pre-College Programs, Pre-College instructors develop and deliver immersive non-credit courses for high-achieving high school students. They guide and supervise students when classes are in session, and write a holistic evaluation of each course participant after classes conclude. For more information on the program–including course sessions and times–please see here. Course Description Are human rights still relevant in promoting social justice and freedom in the 21st Century? Human rights law and advocacy have been central to international politics since the end of World War II. However, recent rises in authoritarianism and anti-liberal regimes have raised new questions on whether the human rights framework is still capable of addressing injustices in the modern world. This course introduces students to the law and practice of human rights as well as the challenges of enforcing rights in an international environment that has grown increasingly hostile to principles of human dignity and personal freedom. Students review the philosophical foundations of human rights and then examine human rights from two perspectives. First, the legal perspective introduces them to basic principles and rules of international law and the main international organizations and mechanisms designed for promoting and enforcing human rights. Second, they adopt the role of social scientist. We debate evidence on the effectiveness of human rights law and discuss challenges of enforcing rights in an international system in which states are not accountable to a higher authority. Students apply their new knowledge to the problems facing human rights today. Topics may include cultural relativist critiques of human rights as a Western, neo-colonialist institution, challenges from new technologies in state surveillance and autonomous weapons, and existential threats to human populations through climate change and environmental damage. The course includes asynchronous work, which students are expected to complete between class sessions. Course Schedule Session B: July 21 - August 7 -- 11:10am - 1:00pm & 3:10 - 5:00pm Please note: Course(s) and course availability are subject to change. All times shown are Eastern Time (ET). Dates and class times are tentative and subject to change. Responsibilities: * Develop course content, syllabus, lesson plans, and assigned work, in accordance with Pre-College templates and regulations * Lead and attend all class sessions, including escorting students to and from campus for field trips * Establish and maintain a dynamic in-class environment tailored for our high school population * Evaluate student work and write a holistic evaluation of each participant after the course ends * Monitor and address student concerns and inquiries (typical class size is 20-24 students) * Attend and complete all required online trainings Qualifications • Graduate degree or equivalent professional or academic background, • Expertise in the pertinent subject matter, • Aptitude for teaching Additional Information Hiring Salary Range Session B (Campus, 3 Week): $7,000 - $9,000 • Please note your availability to teach the Session B schedule (as well as any information regarding your suitability for the role) in the Message to Hiring Manager field. Please submit a resume inclusive of teaching experience as well as formal teaching evaluations (if available) * Applicants must have U.S. work authorization and will need to be in the U.S. while teaching * Columbia Affiliates: There may be restrictions when hiring individuals who hold a concurrent appointment at Columbia University during the Summer term. Generally, PhD students and Officers of Research are not eligible. Please check with us during the hiring process regarding your eligibility. Please note, Pre-College courses do not count towards the maximum course loads for adjuncts. * Once hired, applicants are required to submit to a third party background check and complete Protection of Minors training in addition to other training(s) mandated by the University and Pre-College Program All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

A leading AI research organization is seeking a Research Scientist Tech Lead for Contextual Security in San Francisco. This role involves leading a team to tackle key challenges in contextual security, managing complex research projects, and building tools to enhance AI capabilities.

A global biopharmaceutical company is seeking an Associate Principal Scientist in Oncology to design and implement real-world evidence studies.The candidate will lead outcomes research initiatives and collaborate with stakeholders to demonstrate the value of therapies.The position requires a Doctora

EvolutionaryScale, now part of CZI Biohub, is pioneering the next era of AI-powered biology to understand and program life at scale. Together, we’re combining frontier artificial intelligence and frontier biology and building the technology to study how cells operate, organize, and work as part of

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Staff Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates, • Serve as a subject matter expert for statistical modeling, improving methods for evaluating current models and future changes, • Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data, • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions, • Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science teamThe ideal candidate has:, • 8+ years professional experience in data science, product analytics, and/or healthcare, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • Strong Python and SQL skills, • Expertise in statistical modeling techniques and a track record of building impactful predictive models, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use: Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $263,000 - $300,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job Description Hi, we're Oscar. We're hiring a Lead Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Lead Data Scientist, Claims will drive modeling and analytics for the core of our technology – our claims payment system. In this role, you will: • Partner with operations and technology leaders in the design and implementation of initiatives to improve claims system performance, • Use sophisticated measurement and data mining techniques to drive deep and rapid insights Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, company equity grants, and annual performance bonuses. Responsibilities: • Translates business goals into plans and tactics for the team, • Works with more senior leaders to establish longer term strategies and roadmaps, • Participates in team-wide technical and operations management responsibilities, • Interacts and collaborates closely with data and business management across functional areas, • Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • 6+ years of industry or other quantitative technical fields (which may include academia), • 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.