Data Scientist Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for data scientist visa sponsorship, driven by Boston's life sciences corridor, fintech sector, and world-class universities. Major employers like Biogen, Liberty Mutual, Wayfair, and MathWorks regularly sponsor international data scientists. Cambridge and Boston concentrate the bulk of opportunities, with a growing presence in Worcester and Burlington.
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Get Access To All JobsJob title: PAT Senior Data Scientist
Location: Waltham, MA
About the Job
As Senior Data Scientist – Process Analytical Technology (PAT) within our Process Modeling – Vaccines R&D Data & Computational Science team, you'll turn real-time process and sensor data into the insights that keep vaccine manufacturing precise, predictable, and ready to scale. Ready to get started?
Join the team protecting half a billion lives every year with next-gen science, mRNA innovation, and AI-driven breakthroughs. In Vaccines, you'll help advance prevention on a global scale - and shape the future of immunization.
Join the engine of Sanofi's mission — where deep immuno-science meets bold, AI-powered research. In R&D, you'll drive breakthroughs that could turn the impossible into possible for millions. In this role, you'll build machine learning and chemometric models that give process development, manufacturing, and analytical teams real-time visibility into vaccine production, spanning mRNA, recombinant protein, and viral vector platforms. You'll work at the intersection of data science and bioprocessing, helping ensure every batch meets the quality that patients depend on.
About Sanofi
We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.
Main Responsibilities
- Develop and deploy predictive models and monitoring tools that support real-time oversight of vaccine development and manufacturing processes.
- Build predictive models and soft sensors for critical process parameters and critical quality attributes using process and analytical data.
- Analyze data from spectroscopic and sensor-based monitoring tools, including Raman, near-infrared, infrared, and UV-visible technologies, across online, in-line, and at-line settings.
- Apply multivariate analysis, machine learning, and statistical techniques to strengthen process understanding, performance, and product quality.
- Partner with process development, manufacturing, analytical sciences, automation, and digital teams to bring these solutions into development and commercial manufacturing settings.
- Support process characterization, scale-up, technology transfer, validation, and ongoing process verification through advanced data analysis.
- Help shape strategy and best practices for real-time process monitoring across mRNA and non-mRNA vaccine platforms.
About You
Basic Qualifications
Education: Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Analytical Chemistry, Data Science, Applied Mathematics, or a related scientific field.
Experience
- 1+ years of relevant experience in the pharmaceutical industry or academia. Interns and co-ops will be considered.
Preferred Qualifications
- Hands-on experience developing and applying real-time process monitoring, chemometric, machine learning, or data science solutions within biopharmaceutical, biotechnology, or vaccine development and manufacturing settings.
- Expertise in chemometrics, multivariate data analysis, machine learning, and spectroscopy-based monitoring (Raman, near-infrared, infrared, UV-visible).
- Experience developing calibration, prediction, classification, and soft sensor models using process and analytical data.
- Proficiency in Python, SIMCA, SynTQ, or Unscrambler.
- Strong problem-solving, communication, and collaboration skills across multidisciplinary teams.
Languages: Fluent English required.
Why Choose Us?
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.
- Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.
- Help improve the lives of millions of people globally by making drug development quicker and more effective.
- Enjoy opportunities to collaborate beyond your area of expertise, working with diverse teams across science, clinical, and digital fields to spark new ideas and drive breakthroughs.
Sanofi US Services and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
Job title: PAT Senior Data Scientist
Location: Waltham, MA
About the Job
As Senior Data Scientist – Process Analytical Technology (PAT) within our Process Modeling – Vaccines R&D Data & Computational Science team, you'll turn real-time process and sensor data into the insights that keep vaccine manufacturing precise, predictable, and ready to scale. Ready to get started?
Join the team protecting half a billion lives every year with next-gen science, mRNA innovation, and AI-driven breakthroughs. In Vaccines, you'll help advance prevention on a global scale - and shape the future of immunization.
Join the engine of Sanofi's mission — where deep immuno-science meets bold, AI-powered research. In R&D, you'll drive breakthroughs that could turn the impossible into possible for millions. In this role, you'll build machine learning and chemometric models that give process development, manufacturing, and analytical teams real-time visibility into vaccine production, spanning mRNA, recombinant protein, and viral vector platforms. You'll work at the intersection of data science and bioprocessing, helping ensure every batch meets the quality that patients depend on.
About Sanofi
We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.
Main Responsibilities
- Develop and deploy predictive models and monitoring tools that support real-time oversight of vaccine development and manufacturing processes.
- Build predictive models and soft sensors for critical process parameters and critical quality attributes using process and analytical data.
- Analyze data from spectroscopic and sensor-based monitoring tools, including Raman, near-infrared, infrared, and UV-visible technologies, across online, in-line, and at-line settings.
- Apply multivariate analysis, machine learning, and statistical techniques to strengthen process understanding, performance, and product quality.
- Partner with process development, manufacturing, analytical sciences, automation, and digital teams to bring these solutions into development and commercial manufacturing settings.
- Support process characterization, scale-up, technology transfer, validation, and ongoing process verification through advanced data analysis.
- Help shape strategy and best practices for real-time process monitoring across mRNA and non-mRNA vaccine platforms.
About You
Basic Qualifications
Education: Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Analytical Chemistry, Data Science, Applied Mathematics, or a related scientific field.
Experience
- 1+ years of relevant experience in the pharmaceutical industry or academia. Interns and co-ops will be considered.
Preferred Qualifications
- Hands-on experience developing and applying real-time process monitoring, chemometric, machine learning, or data science solutions within biopharmaceutical, biotechnology, or vaccine development and manufacturing settings.
- Expertise in chemometrics, multivariate data analysis, machine learning, and spectroscopy-based monitoring (Raman, near-infrared, infrared, UV-visible).
- Experience developing calibration, prediction, classification, and soft sensor models using process and analytical data.
- Proficiency in Python, SIMCA, SynTQ, or Unscrambler.
- Strong problem-solving, communication, and collaboration skills across multidisciplinary teams.
Languages: Fluent English required.
Why Choose Us?
- Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.
- Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.
- Help improve the lives of millions of people globally by making drug development quicker and more effective.
- Enjoy opportunities to collaborate beyond your area of expertise, working with diverse teams across science, clinical, and digital fields to spark new ideas and drive breakthroughs.
Sanofi US Services and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
Data Scientist Job Roles in Massachusetts
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Search Data Scientist Jobs in MassachusettsData Scientist Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for data scientists in Massachusetts?
Life sciences companies like Biogen, Moderna, and Vertex Pharmaceuticals are among the most active sponsors for data scientists in Massachusetts, alongside tech-forward firms like Wayfair, MathWorks, and HubSpot. Financial institutions including Fidelity Investments and State Street also file sponsorships regularly. Large healthcare systems such as Mass General Brigham have expanded their data science teams and appeared consistently in Department of Labor LCA filings.
Which visa types are most common for data scientist roles in Massachusetts?
The H-1B visa is by far the most common visa for data scientists in Massachusetts, given that the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. Australians may pursue the E-3 visa as an alternative. Candidates already in the U.S. on F-1 OPT, including STEM OPT extensions of up to 24 months, frequently transition into H-1B visa sponsorship through Massachusetts employers.
Which cities in Massachusetts have the most data scientist sponsorship jobs?
Boston and Cambridge together account for the large majority of data scientist sponsorship activity in Massachusetts. Cambridge hosts many biotech and AI research firms alongside MIT and Harvard, which fuel a steady pipeline of international talent. Boston's Seaport and Back Bay districts have dense concentrations of fintech, healthtech, and analytics companies. Burlington and Waltham along the Route 128 corridor are secondary hubs with meaningful sponsorship activity from established technology and defense firms.
How to find data scientist visa sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international candidates and filters data scientist roles in Massachusetts by visa sponsorship status, so you avoid applying to positions that won't support your immigration needs. The platform surfaces employers with a documented history of sponsoring data scientists in the state, which is especially useful given how competitive the Boston and Cambridge markets are. Filtering by role and location on Migrate Mate significantly narrows the search to actionable opportunities.
Are there any Massachusetts-specific factors that affect data scientist visa sponsorship?
Massachusetts employers sponsoring H-1B workers must meet Department of Labor prevailing wage requirements, which are benchmarked to local market rates and tend to be set at higher levels in the Boston metro compared to national averages, reflecting the area's high cost of living. The concentration of research universities including MIT, Harvard, Tufts, and Northeastern creates a dense international graduate pipeline, which means many Massachusetts employers already have established immigration support infrastructure and experience processing H-1B petitions.
What is the prevailing wage for sponsored data scientist jobs in Massachusetts?
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.