Job description

Job title: Process modelling (Protein/Antigen) Principal Data Scientist Location: Waltham, MA About the Job As Principal Data Scientist within our Process Modeling – Vaccines R&D Data & Computational Science team, you ll lead the development of AI, machine learning, and hybrid modeling solutions that accelerate the future of recombinant protein vaccine manufacturing. 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 immunoscience 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 work closely with process development, analytical, and manufacturing teams to improve process understanding and optimize performance across CHO cell culture, baculovirus expression systems, protein purification, and cell line development. You ll bring scientific rigor and computational innovation together to enable data-driven decisions that strengthen how we develop and manufacture life-saving vaccines. 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 • Lead the development and deployment of AI, machine learning, mechanistic, and hybrid modeling solutions to accelerate recombinant protein vaccine process development and manufacturing. • Apply advanced analytics to identify critical process parameters, predict product quality, improve yield, and optimize process performance. • Develop modeling solutions for upstream processes, including CHO cell culture, baculovirus and insect cell expression systems, and cell line development. • Support optimization of downstream purification operations, including chromatography, filtration, and ultrafiltration/diafiltration, through data-driven and model-based approaches. • Build and deploy digital twins, simulation tools, and decision-support frameworks to support process optimization, scale-up, technology transfer, and lifecycle management. • Collaborate with process development, analytical sciences, manufacturing, and digital teams to integrate process knowledge and data into actionable insights. • Provide scientific leadership and mentorship in AI, machine learning, data science, and process modeling across the organization. About You Basic Qualifications Education Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Computational Biology, Data Science, Applied Mathematics, or a related scientific discipline Experience 2 years of relevant experience in the pharmaceutical industry Preferred Qualifications Background applying data science, machine learning, and process modeling in biopharmaceutical, biologics, vaccine, or related development environments, including recombinant protein production and manufacturing. Expertise in AI, machine learning, multivariate data analysis, mechanistic and hybrid modeling, digital twins, process simulation, Bayesian optimization, and Design of Experiments, including model-based approaches. Experience supporting CHO cell culture, baculovirus expression systems, protein purification, and/or cell line development Proficiency in scientific computing and modeling platforms such as Python, R, MATLAB, JMP, gPROMS, GoSilico, or equivalent tools Strong scientific leadership, problem-solving, communication, and cross-functional collaboration skills. 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. #GD-SP #LI-SP #vhd Pursue progress , discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. Sanofi US endeavours to make our career center accessible to any and all users. If you are experiencing difficulty and need assistance applying online, please call 1-866-SANOFI2 (1-866-726-6342) or click here US and Puerto Rico Residents Only Sanofi Inc. 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. North America Applicants Only The salary range for this position is: $122,250.00 - $176,583.33 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.

Requirements

Must-haves

Job title: Process modelling (Protein/Antigen) Principal Data Scientist
Location: Waltham, MA
Lead the development and deployment of AI, machine learning, mechanistic, and hybrid modeling solutions to accelerate recombinant protein vaccine process development and manufacturing.
Apply advanced analytics to identify critical process parameters, predict product quality, improve yield, and optimize process performance.
Develop modeling solutions for upstream processes, including CHO cell culture, baculovirus and insect cell expression systems, and cell line development.
Support optimization of downstream purification operations, including chromatography, filtration, and ultrafiltration/diafiltration, through data-driven and model-based approaches.
Build and deploy digital twins, simulation tools, and decision-support frameworks to support process optimization, scale-up, technology transfer, and lifecycle management.
Collaborate with process development, analytical sciences, manufacturing, and digital teams to integrate process knowledge and data into actionable insights.
Provide scientific leadership and mentorship in AI, machine learning, data science, and process modeling across the organization.
Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Computational Biology, Data Science, Applied Mathematics, or a related scientific discipline
2 years of relevant experience in the pharmaceutical industry
Languages: Fluent English required.

Nice-to-haves

Background applying data science, machine learning, and process modeling in biopharmaceutical, biologics, vaccine, or related development environments, including recombinant protein production and manufacturing.
Expertise in AI, machine learning, multivariate data analysis, mechanistic and hybrid modeling, digital twins, process simulation, Bayesian optimization, and Design of Experiments, including model-based approaches.
Experience supporting CHO cell culture, baculovirus expression systems, protein purification, and/or cell line development
Proficiency in scientific computing and modeling platforms such as Python, R, MATLAB, JMP, gPROMS, GoSilico, or equivalent tools
Strong scientific leadership, problem-solving, communication, and cross-functional collaboration skills.
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.
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpython

Platform: workday
Effort: long

Benefits

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Parental Leave

Wellness