AI Data Engineer Visa Sponsorship Jobs in New York
AI data engineer visa sponsorship jobs in New York are concentrated in Manhattan's finance and tech corridors, with major employers including JPMorgan Chase, IBM, Bloomberg, and Google's New York office. The state's dense cluster of financial institutions, media companies, and AI-focused startups makes it one of the most active hiring markets in the country for this role.
Find AI Data Engineer JobsOverview
Showing 5 of 1,510+ AI Data Engineer Jobs in New York with Visa Sponsorship
See all 1,510+ AI Data Engineer Jobs in New York with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer Jobs in New York with Visa Sponsorship.
Get Access To All JobsWork Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
How will you make an impact?
We are seeking a highly motivated Scientist III with expertise in systems biology, multi-omics integration, and metabolic modeling to accelerate next-generation cell culture media and process development. The successful candidate will join a multidisciplinary team to expand our in-house AI-enabled systems biology platform for biologics development.
This role will focus on integrating transcriptomics, proteomics, metabolomics, and bioprocess data to uncover biological mechanisms governing cell growth, productivity, metabolism, and product quality. The successful candidate will develop kinetic and mechanistic metabolic models, apply computational approaches to interpret complex biological datasets, and support AI-guided cell culture media optimization. The ideal candidate will combine a strong understanding of mammalian cell biology and metabolism with computational and data science expertise to generate actionable insights for upstream process development.
What will you do?
- Maintain and expand an in-house multi-omics platform tool focused on integration of transcriptomics, proteomics and metabolomics.
- Integrate multi-omics datasets with genome-scale metabolic models (GEMs) and other computational frameworks to improve biological interpretation and identify opportunities for media and process optimization.
- Collaborate with cell culture scientists to design and interpret multi-omics studies supporting cell line development, media optimization, and upstream process development.
- Collaborate with cell culture scientists, data engineers and analytical teams to support big data analysis, pathway interpretation, and upstream bioprocessing applications.
How will you get here?
Education
Master’s Degree in Bioinformatics, Computational Biology, Systems Biology, Molecular Biology, Cell Biology, Biochemistry, Biotechnology, or a related biological science field. PhD is preferred but not required.
Experience
- At least 3 years of relevant industrial or academic experience.
- Strong background in systems biology, computational biology, metabolic modeling, or bioinformatics.
- Experience integrating multi-omics datasets, including transcriptomics, proteomics, metabolomics, and/or fluxomics.
- Experience developing or applying kinetic models, genome-scale metabolic models (GEMs), metabolic flux analysis (MFA), or systems biology approaches.
- Knowledge of mammalian cell culture, cellular metabolism, and upstream bioprocess development.
- Experience supporting media optimization, process development, or biologics manufacturing is highly desirable.
Knowledge, Skills, Abilities
- Strong programming skills in Python (preferred), R, MATLAB, or similar scientific programming languages.
- Experience with multi-omics integration, pathway enrichment analysis, metabolic network analysis, genome-scale metabolic modeling, kinetic modeling, or machine learning.
- Present data for review, group discussions, and team meetings.
- Multi-task effectively and prioritize multiple projects with guidance.
- Proven track record that could work efficiently both independently and as part of a team.
- Excellent verbal and written communication skills.
- Ability to work in a cross-functional and interdisciplinary team.
Preferred Qualifications
- Experience with CHO, HEK or Yeast cell culture systems.
- Experience applying AI/ML, knowledge graphs, large language models (LLMs), retrieval-augmented generation (RAG), or predictive analytics to biological data.
Compensation and Benefits
The salary range estimated for this position based in New York is $87,200.00–$116,250.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- A choice of national medical and dental plans, and a national vision plan, including health incentive programs
- Employee assistance and family support programs, including commuter benefits and tuition reimbursement
- At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
- Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
How will you make an impact?
We are seeking a highly motivated Scientist III with expertise in systems biology, multi-omics integration, and metabolic modeling to accelerate next-generation cell culture media and process development. The successful candidate will join a multidisciplinary team to expand our in-house AI-enabled systems biology platform for biologics development.
This role will focus on integrating transcriptomics, proteomics, metabolomics, and bioprocess data to uncover biological mechanisms governing cell growth, productivity, metabolism, and product quality. The successful candidate will develop kinetic and mechanistic metabolic models, apply computational approaches to interpret complex biological datasets, and support AI-guided cell culture media optimization. The ideal candidate will combine a strong understanding of mammalian cell biology and metabolism with computational and data science expertise to generate actionable insights for upstream process development.
What will you do?
- Maintain and expand an in-house multi-omics platform tool focused on integration of transcriptomics, proteomics and metabolomics.
- Integrate multi-omics datasets with genome-scale metabolic models (GEMs) and other computational frameworks to improve biological interpretation and identify opportunities for media and process optimization.
- Collaborate with cell culture scientists to design and interpret multi-omics studies supporting cell line development, media optimization, and upstream process development.
- Collaborate with cell culture scientists, data engineers and analytical teams to support big data analysis, pathway interpretation, and upstream bioprocessing applications.
How will you get here?
Education
Master’s Degree in Bioinformatics, Computational Biology, Systems Biology, Molecular Biology, Cell Biology, Biochemistry, Biotechnology, or a related biological science field. PhD is preferred but not required.
Experience
- At least 3 years of relevant industrial or academic experience.
- Strong background in systems biology, computational biology, metabolic modeling, or bioinformatics.
- Experience integrating multi-omics datasets, including transcriptomics, proteomics, metabolomics, and/or fluxomics.
- Experience developing or applying kinetic models, genome-scale metabolic models (GEMs), metabolic flux analysis (MFA), or systems biology approaches.
- Knowledge of mammalian cell culture, cellular metabolism, and upstream bioprocess development.
- Experience supporting media optimization, process development, or biologics manufacturing is highly desirable.
Knowledge, Skills, Abilities
- Strong programming skills in Python (preferred), R, MATLAB, or similar scientific programming languages.
- Experience with multi-omics integration, pathway enrichment analysis, metabolic network analysis, genome-scale metabolic modeling, kinetic modeling, or machine learning.
- Present data for review, group discussions, and team meetings.
- Multi-task effectively and prioritize multiple projects with guidance.
- Proven track record that could work efficiently both independently and as part of a team.
- Excellent verbal and written communication skills.
- Ability to work in a cross-functional and interdisciplinary team.
Preferred Qualifications
- Experience with CHO, HEK or Yeast cell culture systems.
- Experience applying AI/ML, knowledge graphs, large language models (LLMs), retrieval-augmented generation (RAG), or predictive analytics to biological data.
Compensation and Benefits
The salary range estimated for this position based in New York is $87,200.00–$116,250.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- A choice of national medical and dental plans, and a national vision plan, including health incentive programs
- Employee assistance and family support programs, including commuter benefits and tuition reimbursement
- At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
- Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards
AI Data Engineer Job Roles in New York
See all 1,510+ AI Data Engineer Jobs in New York
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search AI Data Engineer Jobs in New YorkAI Data Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in New York?
Large financial institutions and tech firms are the most consistent sponsors in New York. JPMorgan Chase, Citigroup, IBM, Bloomberg, Google, Amazon, and Meta all have significant New York engineering operations and documented H-1B visa sponsorship histories. Mid-size fintech companies and AI startups in Manhattan and Brooklyn also sponsor, though less predictably than established enterprises with dedicated immigration HR teams.
Which visa types are most common for AI data engineer roles in New York?
The H-1B is the most common visa for AI data engineers in New York, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, data science, or a related field. OPT and STEM OPT are common entry points for graduates of New York universities. Candidates with extraordinary ability in AI research may qualify for the O-1A, which has no annual lottery.
Which cities in New York have the most AI data engineer sponsorship jobs?
Manhattan accounts for the large majority of AI data engineer sponsorship jobs in New York, driven by the concentration of finance, media, and enterprise tech employers. Brooklyn's tech scene, particularly in DUMBO and the Navy Yard area, has grown substantially. Albany sees some state government and university-affiliated roles, but the overwhelming concentration of sponsored positions remains in New York City.
How to find ai data engineer visa sponsorship jobs in New York?
Migrate Mate filters AI data engineer jobs specifically by visa sponsorship availability, so you can search New York roles without manually screening out employers who don't sponsor. The platform aggregates positions from companies with verified sponsorship histories, which is particularly useful given how varied sponsorship willingness is across New York's mix of large financial firms, enterprise tech employers, and early-stage AI startups.
Are there state-specific considerations for AI data engineers seeking sponsorship in New York?
New York's prevailing wage requirements under H-1B rules reflect the city's high cost of living, so employers sponsoring AI data engineers in Manhattan typically offer compensation benchmarked against DOL wage levels for the New York metropolitan area. Columbia, NYU, and Cornell Tech produce a strong pipeline of international candidates, meaning sponsored roles often attract highly competitive applicant pools. The density of AI investment in the city also means sponsoring employers expect demonstrated experience with production ML systems, not just academic exposure.
What is the prevailing wage for sponsored ai data engineer 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.