Job Information
Sanofi- Genzyme Principal Scientist Engineering in Cambridge, Massachusetts
Key Responsibilities: Lab automation & data generation: You will work closely with laboratory teams (process chemists, engineers, and the high-throughput experimentation team), fostering strong partnerships with scientists to deeply understand their research processes. Your goal will be to design, develop, and deploy cutting-edge automated systems, robotics, instrumentation, and digital workflows that significantly enhance the productivity and efficiency of our labs. You will be responsible for programming and developing automated laboratory systems. This includes supporting software development and deployment to automate workflows, integrating analytical instruments with laboratory software, and ensuring seamless communication between instruments and Sanofi\'s internal data management services. Mechanistic & data-driven model building - As part of matrix project teams, build mechanistic, hybrid, and data-driven modeling solutions to support small molecule process development. Model deployment at scale ? Assist in the development and deployment of digital twins for both batch and continuous processes, ensuring alignment with Quality by Design (QbD) principles. You will play a key role in implementing and scaling Model Predictive Control (MPC) systems, leveraging advanced process models to optimize performance in real-time, maintain product quality, and enhance operational efficiency across large-scale manufacturing environments. Provide concise technical presentations to communicate work to project teams, cross functional teams and management. Document all work on projects and continuous improvements in eLNB experiments and summarize in Technical Reports. Establish/extend external network by providing leadership on academic, industrial, or government sponsored collaborations. Steer collaboration projects to address gaps in scientific knowledge. About you Basic Qualifications: PhD in Chemical engineering with a minimum of 4 year experience in industry or academia or a master?s degree with a minimum of 8 years of experience. Strong skills in writing and optimizing scripts in programming languages such as Python/Matlab/C#/Visual Basic. Experience in designing and implementing automated laboratory processes from the initial concept through to full deployment. Demonstrated ability to translate mathematical models into computer programs. An ability to work as part of a team, engaging other scientists with complementary skill sets in the field of pharmaceutical development. A change agent mentality, proposing novel approach to challenging scientific questions and exploring new modeling approaches. Preferred Qualifications: Familiarity with laboratory analytical measurement instruments or relevant work experience in a pharmaceutical sciences laboratory setting. Domain knowledge in small molecule process development with demonstrated industrial applications or academic publications in this field Some knowledge in Multivariate Analysis, chemometrics and statistics Experience in the development and scale-up of continuous processes Domestic and international travel may be required (5-10%). 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.