mRNA Process Modeling Senior Scientist – Vaccines Full-time

Mrna Process Modeling Senior Scientist- Vaccines

Location: Waltham, MA

About the Job

We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.

The Senior Scientist – Process Modeling is part of the Data and Computational Science (DCS) department within the Sanofi mRNA Center of Excellence (CoE), supporting the CMC Data Science Group. This role centers on developing multiscale mechanistic and machine learning models to investigate the formation and production of lipid nanoparticles (LNPs) for nucleic acid therapeutics.

This is a unique opportunity to gain hands-on experience with mRNA technologies and unit operations, while showcasing the power of mechanistic, hybrid, and machine learning models in a non-GMP laboratory setting.

Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress.

Main Responsibilities

• Develop multiscale mechanistic, hybrid, and machine learning models for LNP formation and production.
• Apply models to design, optimize, and characterize LNP manufacturing processes.
• Lead and implement model-based strategies to accelerate process development across Sanofi.
• Communicate progress through technical presentations and detailed reports to cross-functional stakeholders.
• Present and publish research findings at scientific conferences and in peer-reviewed journals.

About You

• Earned PhD in Chemical Engineering, Mechanical Engineering, Bioengineering, or related engineering or modeling field, with 1 or more years of relevant experience in academia or industry.
• Strong understanding of mRNA unit operations, including LNP production is essential. Experience with in vitro transcription is highly preferred.
• Proficiency in modeling and data analysis tools such as Python, Julia, MATLAB, gPROMS, and CFD software (e.g., COMSOL, Fluent, M-Star) is needed
• Demonstrated record of scientific publications and conference presentations is required. Publications/presentations focused on LNPs, especially those involving computational or modeling approaches, is the preference.
• Excellent communication skills in a collaborative, international environment.
• Experience with machine learning and hybrid modeling techniques is ideal.
• Expertise in multiscale modeling, numerical algorithms for transport equations, and population balance models is also preferred.

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 a 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.

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.