Process modeling (Protein/Antigen) Principal Data Scientist - Canopy

Sanofi Group; Waltham (MA); On-site; USD 150,000 - 210,000; Full time

Job summary

Sanofi US in Waltham, MA seeks a Principal Data Scientist to lead AI, machine learning and hybrid modeling for recombinant protein vaccine process development and manufacturing. You will drive data-driven decision making across R&D, analytics, and manufacturing teams, delivering scalable modeling solutions.

You will build digital twins and simulation tools to identify critical process parameters, optimize yield, and accelerate technology transfer, lifecycle management, and scale-up efforts.

Qualifications

• Ph.D. in a relevant scientific field.

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/downstream processes and technology transfer.

Skills

AI/ML

Process modeling

Data science

Digital twins

Leadership

Education

Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Computational Biology, Data Science, or related field

Tools

Python

R

MATLAB

JMP

gPROMS

GoSilico

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.

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.