Science & Research H-1B Sponsorship Jobs in New York
New York is one of the strongest states for science and research H-1B visa sponsorship, anchored by world-class research universities, pharmaceutical companies, and biotech firms across New York City, Long Island, and the Hudson Valley. Major employers including Memorial Sloan Kettering, Pfizer, Regeneron, and Columbia University regularly sponsor H-1B workers in research-intensive roles.
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Get Access To All JobsAbout Ataraxis AI
Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients. Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our causality (Ataraxis™ Tau), foundation model (Falcon and Kestrel for digital pathology), and survival analysis research. Our first clinical products, such as Ataraxis™ Breast for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide. At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine. Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity). We are a company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.
Responsibilities
- Design and implement statistical evaluation plans for Ataraxis AI models.
- Write applications for access to data from completed clinical trials.
- Evaluate AI models on data from completed clinical trials.
- Collaborate with a multidisciplinary team of engineers and scientists.
- Collaborate on research projects with academic and industrial partners.
- Contribute to regulatory submissions.
- Present findings to stakeholders, including non-technical audiences, and contribute to scientific publications and presentations.
- Mentor junior biostatisticians and data scientists.
Qualifications
- PhD degree in statistics or biostatistics, or equivalent experience. Strong track record of publications in biostatistics.
- Significant experience in developing statistical plans for analysis of clinical studies, especially data from oncology clinical trials.
- Strong problem-solving skills, experience with data visualization and reproducible research practices.
- Excellent skills in Python and R. Proficiency in handling large and complex biomedical datasets, including genomic, imaging, and clinical data.
- Expertise in survival analysis, Bayesian methods and causality.
- Familiarity with modern machine learning methods.
Compensation Range: $100K - $300K
About Ataraxis AI
Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients. Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our causality (Ataraxis™ Tau), foundation model (Falcon and Kestrel for digital pathology), and survival analysis research. Our first clinical products, such as Ataraxis™ Breast for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide. At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine. Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity). We are a company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.
Responsibilities
- Design and implement statistical evaluation plans for Ataraxis AI models.
- Write applications for access to data from completed clinical trials.
- Evaluate AI models on data from completed clinical trials.
- Collaborate with a multidisciplinary team of engineers and scientists.
- Collaborate on research projects with academic and industrial partners.
- Contribute to regulatory submissions.
- Present findings to stakeholders, including non-technical audiences, and contribute to scientific publications and presentations.
- Mentor junior biostatisticians and data scientists.
Qualifications
- PhD degree in statistics or biostatistics, or equivalent experience. Strong track record of publications in biostatistics.
- Significant experience in developing statistical plans for analysis of clinical studies, especially data from oncology clinical trials.
- Strong problem-solving skills, experience with data visualization and reproducible research practices.
- Excellent skills in Python and R. Proficiency in handling large and complex biomedical datasets, including genomic, imaging, and clinical data.
- Expertise in survival analysis, Bayesian methods and causality.
- Familiarity with modern machine learning methods.
Compensation Range: $100K - $300K
H-1B Science & Research Job Roles in New York
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Search Science & Research Jobs in New YorkScience & Research H-1B Sponsorship Jobs in New York: Frequently Asked Questions
Which science and research companies sponsor H-1B visas in New York?
New York has a concentration of H-1B visa sponsoring employers in the sciences, including Memorial Sloan Kettering Cancer Center, Pfizer, Regeneron Pharmaceuticals, Brookhaven National Laboratory, Cold Spring Harbor Laboratory, Rockefeller University, Columbia University, NYU Langone Health, and Mount Sinai Health System. These organizations consistently file H-1B petitions for researchers, scientists, and lab professionals across disciplines including oncology, genomics, and computational biology.
Which cities in New York have the most science and research H-1B sponsorship jobs?
New York City, particularly Manhattan and the Bronx, holds the largest share of science and research H-1B positions, driven by its major academic medical centers and research hospitals. Long Island is a secondary hub, home to Regeneron's headquarters in Tarrytown and Brookhaven National Laboratory in Upton. The Hudson Valley and Albany region also have a presence through state-funded research institutions and bioscience employers.
What types of science and research roles typically qualify for H-1B sponsorship in New York?
Roles that commonly qualify include research scientists, postdoctoral researchers, bioinformaticians, computational biologists, chemists, clinical research associates, biostatisticians, and laboratory directors. The H-1B requires the position to be a specialty occupation, meaning it normally requires at least a bachelor's degree in a specific scientific field. Positions with broad or generalist degree requirements may face more scrutiny during the petition review process.
How do I find science and research H-1B sponsorship jobs in New York?
Migrate Mate is built specifically for international candidates seeking H-1B sponsorship and filters jobs by visa type, industry, and state. For science and research roles in New York, you can browse verified listings from employers with a history of H-1B filings in the sciences, saving you the work of identifying sponsoring employers manually. Migrate Mate focuses exclusively on sponsorship-friendly opportunities, which narrows your search to where your application is actually viable.
Are there any New York-specific considerations for H-1B sponsorship in science and research?
New York's density of NIH-funded institutions, academic medical centers, and federally designated national laboratories means a meaningful share of research positions are tied to grant funding, which can affect the timing and continuity of H-1B sponsorship. Candidates should confirm that a prospective employer has stable, ongoing funding for the role. New York City's competitive research hiring environment also means postdoctoral appointments, which are common entry points, vary in their sponsorship policies by institution.
What is the prevailing wage for H-1B science & research jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.