Data Science Manager Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's data science manager market is anchored by Philadelphia's financial and healthcare sectors, Pittsburgh's AI research ecosystem, and major employers like Comcast, UPMC, and JPMorgan Chase. Companies here regularly sponsor H-1B visas for senior data science roles. Philadelphia and Pittsburgh together account for most sponsorship activity in the state.
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Get Access To All JobsJob Title: Data Science Manager - Process Analytics
Location: Swiftwater, PA
About the Job
As Data Science Manager Process Analytics within the international Manufacturing Science, Analytics and Technology (MSAT) Data Science Flu team, you’ll help providing deep insights into Flu vaccine manufacturing process performance and robustness.
The mission of MSAT is to deliver robust and efficient processes and analytics with associated know-how transfer to Manufacturing & Supply and Quality Control (QC). MSAT teams also provide daily support, for Manufacturing, Continuous Improvement and QC, striving for industrial performance excellence.
Join a global network that powers how Sanofi delivers, seamlessly, purposefully, and at scale. In Manufacturing & Supply, you’ll help reimagine how life-changing treatments reach people everywhere, faster.
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
- Contribute to the definition of critical process attributes for process validation.
- Communicate and interpret documented study results within the platform or project.
- Implement instruction on new/improved processes to appropriate audience.
- Facilitates the use of statistical thinking promoting the concepts that: all work occurs in a system of interconnected processes, variation exists on all processes, understanding and reducing variation are keys to success.
- Drive design space concept through the optimal use of design of experiment and interpretation of data.
- Knowledge of Design of Experiment (DOE), Statistical Process Control (SPC), Process Control and Applied Statistics.
- Facilitate statistical process control related training for Manufacturing & Supply personnel.
- Promotes application of Statistical Process Control for life-cycle design and industrialization of processes, products and associated test methods for Phase 3 and licensed products to assure commercialization of robust, compliant, and efficient processes and test methods for vaccines and biopharmaceuticals.
- Technical input and/or gap analysis of internal and external Quality/Regulatory guidelines pertaining to process control.
About You
Basic Qualifications:
- PhD or Master of Science in Statistics, Applied Mathematics, Computer Science or another related technical field.
- 1+ years of relevant experience, including academic research, internships, or industry experience.
- Knowledgeable in quality by design, process control, and design of experiments.
- Experience in collaborating with process development, manufacturing, process engineering, quality or regulatory personnel.
- Experience in working in teams.
Highly Preferred: Knowledge of cGMP, Health and Safety, and all other applicable regulations.
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.
- Shape the future of medicine and vaccine delivery with cutting-edge technology, ensuring seamless launches and a resilient global supply.
- Power industry-leading performance by leveraging digital, data, and AI-driven innovation – at speed and scale.
- Transform lives worldwide by delivering life-changing treatments anywhere, anytime.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse 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.
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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: Data Science Manager - Process Analytics
Location: Swiftwater, PA
About the Job
As Data Science Manager Process Analytics within the international Manufacturing Science, Analytics and Technology (MSAT) Data Science Flu team, you’ll help providing deep insights into Flu vaccine manufacturing process performance and robustness.
The mission of MSAT is to deliver robust and efficient processes and analytics with associated know-how transfer to Manufacturing & Supply and Quality Control (QC). MSAT teams also provide daily support, for Manufacturing, Continuous Improvement and QC, striving for industrial performance excellence.
Join a global network that powers how Sanofi delivers, seamlessly, purposefully, and at scale. In Manufacturing & Supply, you’ll help reimagine how life-changing treatments reach people everywhere, faster.
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
- Contribute to the definition of critical process attributes for process validation.
- Communicate and interpret documented study results within the platform or project.
- Implement instruction on new/improved processes to appropriate audience.
- Facilitates the use of statistical thinking promoting the concepts that: all work occurs in a system of interconnected processes, variation exists on all processes, understanding and reducing variation are keys to success.
- Drive design space concept through the optimal use of design of experiment and interpretation of data.
- Knowledge of Design of Experiment (DOE), Statistical Process Control (SPC), Process Control and Applied Statistics.
- Facilitate statistical process control related training for Manufacturing & Supply personnel.
- Promotes application of Statistical Process Control for life-cycle design and industrialization of processes, products and associated test methods for Phase 3 and licensed products to assure commercialization of robust, compliant, and efficient processes and test methods for vaccines and biopharmaceuticals.
- Technical input and/or gap analysis of internal and external Quality/Regulatory guidelines pertaining to process control.
About You
Basic Qualifications:
- PhD or Master of Science in Statistics, Applied Mathematics, Computer Science or another related technical field.
- 1+ years of relevant experience, including academic research, internships, or industry experience.
- Knowledgeable in quality by design, process control, and design of experiments.
- Experience in collaborating with process development, manufacturing, process engineering, quality or regulatory personnel.
- Experience in working in teams.
Highly Preferred: Knowledge of cGMP, Health and Safety, and all other applicable regulations.
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.
- Shape the future of medicine and vaccine delivery with cutting-edge technology, ensuring seamless launches and a resilient global supply.
- Power industry-leading performance by leveraging digital, data, and AI-driven innovation – at speed and scale.
- Transform lives worldwide by delivering life-changing treatments anywhere, anytime.
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse 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.
GD-SG
LI-GZ
LI-Onsite
vhd
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 Science Manager Job Roles in Pennsylvania
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Search Data Science Manager Jobs in PennsylvaniaData Science Manager Jobs in Pennsylvania: Frequently Asked Questions
Which companies sponsor visas for data science managers in Pennsylvania?
Philadelphia-based Comcast, Vanguard, and Independence Blue Cross are active H-1B sponsors for data science leadership roles. In Pittsburgh, UPMC, PNC Financial, and Carnegie Mellon University-affiliated research organizations regularly file petitions for senior data positions. Defense contractors like Lockheed Martin, with a presence across Pennsylvania, also sponsor data science managers with advanced degrees.
Which visa types are most common for data science manager roles in Pennsylvania?
The H-1B is the most common visa for data science managers in Pennsylvania, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or applied mathematics. Candidates with outstanding research profiles or publications may also be considered for O-1A classification. Some academic and research institutions additionally support J-1 visa sponsorship.
Which cities in Pennsylvania have the most data science manager sponsorship jobs?
Philadelphia and Pittsburgh generate the majority of data science manager sponsorship opportunities in Pennsylvania. Philadelphia draws sponsorship activity from finance, insurance, healthcare, and telecom employers. Pittsburgh's strength comes from its AI and machine learning research community, anchored by Carnegie Mellon University and a growing cluster of tech companies that have established engineering offices there. Smaller markets like Malvern and Wayne, in the Philadelphia suburbs, also see activity from financial services firms.
How to find data science manager visa sponsorship jobs in Pennsylvania?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search data science manager roles in Pennsylvania without sorting through positions that don't sponsor. The platform surfaces employers in Philadelphia, Pittsburgh, and surrounding markets that have a documented history of H-1B filings for data science leadership roles, helping you focus your applications on companies already familiar with the sponsorship process.
Are there state-specific considerations for data science managers pursuing sponsorship in Pennsylvania?
Pennsylvania's concentration of research universities, particularly Carnegie Mellon and the University of Pennsylvania, creates a strong local talent pipeline that employers tap for data science leadership. This also means sponsors here often expect advanced degrees or demonstrated research credentials. For H-1B petitions, employers must pay the prevailing wage for a data science manager in the specific Pennsylvania metropolitan area, which is determined by Department of Labor wage surveys and varies between Philadelphia and Pittsburgh.
What is the prevailing wage for sponsored data science manager jobs in Pennsylvania?
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.