Senior Scientist Engineering

Job title: Senior Scientist Engineering

Location: Cambridge, MA

About the Job

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.

We are looking for a highly motivated individual with a mindset to implement changes. She/He will be recognized as technical expert in the field of engineering. The successful candidate will work in a cutting-edge scientific global engineering department in Sanofi’s R&D CMC Synthetic organization.  The job is in Cambridge MA, but close collaboration with colleagues in France is required.  Engineers work cross functionally to develop robust commercial Drug Substance processes.  Process development may be directed to either batch or continuous manufacturing.  Collaborative work with Chemists and Engineers on complex drug substance intermediate crystallizations will also be required.  Work starts during route selection and continues to commercial launch with engineering involvement increasing as development progresses.  We strongly believe that innovation in process development, data science and modelling will be key drivers to transform Pharma process development. 

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities: 

• Development of processes to consistently produce API with the required quality attributes using both batch and continuous platforms. 

• Expectations include:

• Team Interactions – Integrate closely with project team members such as Chemists and Analysts to develop API processes.   

• Digital Development – Apply AI/Modeling to transform development from traditional data driven statistical approaches to more efficient and effective Digital Development. 

• Domain knowledge - Use a strong background in Engineering to understand and apply strategies to control process quality, yield, cost safety and EcoDesign. 

• Experimentation – Apply strong lab skills to deliver well designed experimental plans for process development across a wide range of unit operations.   

• Analytical – Perform required physiochemical analysis to understand process and characterize processes this includes but is not limited to HPLC, GC, DSC, PSD, KF, optical microscopy and a variety of PAT techniques.  

• Assist in the development and deployment of digital twins for batch and continuous processes ensuring alignment with Quality by Design (QbD) principles.   

• Work closely with proce