Data Integration Specialist Jobs in USA with Visa Sponsorship
Data integration specialists qualify for H-1B visa sponsorship as the role typically requires specialized knowledge in database architecture, ETL processes, and integration platforms. Most employers filing H-1B petitions for this position specify computer science, information systems, or related technical degrees as requirements. For detailed occupation requirements, see the O*NET profile.
Find Data Integration Specialist JobsOverview
Showing 5 of 140+ Data Integration Specialist jobs
See all 140+ Data Integration Specialist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Integration Specialist roles.
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
See all 140+ Data Integration Specialist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Integration Specialist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Integration Specialist
Emphasize specialized technical skills
Highlight expertise in specific integration platforms like Informatica, Talend, or MuleSoft. Employers need to demonstrate this role requires specialized knowledge beyond general IT support.
Target companies with complex data ecosystems
Focus on enterprises managing multiple databases, cloud migrations, or real-time analytics. These organizations have clearer business justification for specialized integration expertise.
Show degree relevance clearly
Connect your computer science, information systems, or engineering degree directly to integration work. USCIS scrutinizes the degree-to-role relationship for technical positions.
Document integration project complexity
Prepare examples of multi-system integrations, API development, or data transformation projects. Complex technical work strengthens the specialty occupation argument significantly.
Research employer's H-1B history
Check DOL disclosure data for previous LCA filings. Companies with established H-1B programs understand the documentation requirements for technical roles better.
Consider consulting firms strategically
Integration consultancies often sponsor H-1Bs but face higher scrutiny. Ensure the end-client project demonstrates genuine specialty occupation work, not basic configuration tasks.
Frequently Asked Questions
What degree do I need for H-1B sponsorship as a data integration specialist?
Most successful H-1B visa petitions for data integration specialists require a bachelor's degree in computer science, information systems, computer engineering, or closely related technical field. Some employers accept mathematics or engineering degrees if you have relevant coursework in databases and programming. The degree must directly relate to the technical complexity of integration work.
Do data integration specialists have good H-1B approval rates?
Data integration roles generally see favorable approval rates when the employer demonstrates the position requires specialized technical knowledge in ETL processes, API development, and database architecture. Success depends on clearly distinguishing this role from general IT support or basic database administration, which face more scrutiny from USCIS.
Can bootcamp graduates get H-1B sponsorship for integration roles?
Bootcamp training alone typically isn't sufficient for H-1B approval in data integration roles. USCIS expects a bachelor's degree in a technical field. However, if you have a non-technical degree plus extensive relevant work experience, the three-years-experience-per-one-year-education rule might apply, though this path faces higher scrutiny.
What visa alternatives exist for data integration specialists?
Australian citizens can use the E-3 visa, which has no cap and typically approves quickly for technical roles. Canadians and Mexicans may qualify for TN visa status under the computer systems analyst category, though the job duties must align precisely with that classification. O-1 visas are possible for senior architects with exceptional achievements.
How do consulting arrangements affect H-1B applications for integration work?
Integration specialists working through consulting firms face additional scrutiny regarding the end-client relationship and actual work performed. The petitioning employer must demonstrate control over your work and that you'll perform genuine specialty occupation duties, not just basic system configuration. Third-party placement arrangements require careful documentation of the employer-employee relationship.
What is the prevailing wage requirement for sponsored Data Integration Specialist jobs?
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.
How to find Data Integration Specialist jobs with visa sponsorship?
To find Data Integration Specialist jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international candidates with sponsoring employers. Focus on tech companies, consulting firms, and healthcare organizations that commonly sponsor H-1B and other work visas for data professionals. These employers actively seek specialists skilled in ETL processes, database management, and integration platforms to support their data infrastructure needs.