Senior Scientist Automation and Advanced Modeling
Sanofi
11 days ago
Remote friendly (Cambridge, MA)
United States
$100,500 - $145,166.66 USD yearly
IT
Job Title: Senior Scientist Automation and Advanced Modeling
Location: Cambridge, MA
Main Responsibilities
- Work with laboratory teams to design, develop, and deploy automated systems (robotics, instrumentation, digital workflows) to improve lab productivity and efficiency.
- Program and develop automated laboratory systems: support software development/deployment, integrate analytical instruments with lab software, and ensure communication with internal data management services.
- Build mechanistic, hybrid, and data-driven models to support small molecule process development; integrate crystallization modeling into process design and optimization.
- Assist in developing and deploying digital twins for batch and continuous processes aligned with Quality by Design (QbD); implement and scale Model Predictive Control (MPC) systems to optimize performance and maintain product quality.
- Present technical work to project/cross-functional teams and management; document in eLNB and summarize in Technical Reports.
- Lead and steer academic/industrial/government collaborations to address scientific knowledge gaps.
Qualifications
- PhD/PhD candidate (Chemical Engineering/Math/Physics or related) with expected graduation by first semester of 2027 (0+ years academic experience considered) OR Master’s (minimum 4 years academic experience) OR Bachelor’s (minimum 8 years experience).
Required/Preferred Skills
- Strong script writing/optimization in Python/Matlab/C#/Visual Basic.
- Experience with crystallization modeling and/or simulation tools (e.g., gPROMS).
- Experience designing and implementing automated lab processes from concept to deployment.
- Ability to translate mathematical models into computer programs.
- Teamwork and cross-disciplinary collaboration; change-agent mindset.
- Preferred: familiarity with lab analytical instruments/pharma lab experience; domain knowledge in small molecule process development; knowledge of multivariate analysis/chemometrics/statistics; experience developing and scaling continuous processes.
Benefits
- Health and wellbeing benefits including healthcare and prevention/wellness programs; at least 14 weeks’ gender-neutral parental leave.
Application Instructions
- Not provided in the text.
Location: Cambridge, MA
Main Responsibilities
- Work with laboratory teams to design, develop, and deploy automated systems (robotics, instrumentation, digital workflows) to improve lab productivity and efficiency.
- Program and develop automated laboratory systems: support software development/deployment, integrate analytical instruments with lab software, and ensure communication with internal data management services.
- Build mechanistic, hybrid, and data-driven models to support small molecule process development; integrate crystallization modeling into process design and optimization.
- Assist in developing and deploying digital twins for batch and continuous processes aligned with Quality by Design (QbD); implement and scale Model Predictive Control (MPC) systems to optimize performance and maintain product quality.
- Present technical work to project/cross-functional teams and management; document in eLNB and summarize in Technical Reports.
- Lead and steer academic/industrial/government collaborations to address scientific knowledge gaps.
Qualifications
- PhD/PhD candidate (Chemical Engineering/Math/Physics or related) with expected graduation by first semester of 2027 (0+ years academic experience considered) OR Master’s (minimum 4 years academic experience) OR Bachelor’s (minimum 8 years experience).
Required/Preferred Skills
- Strong script writing/optimization in Python/Matlab/C#/Visual Basic.
- Experience with crystallization modeling and/or simulation tools (e.g., gPROMS).
- Experience designing and implementing automated lab processes from concept to deployment.
- Ability to translate mathematical models into computer programs.
- Teamwork and cross-disciplinary collaboration; change-agent mindset.
- Preferred: familiarity with lab analytical instruments/pharma lab experience; domain knowledge in small molecule process development; knowledge of multivariate analysis/chemometrics/statistics; experience developing and scaling continuous processes.
Benefits
- Health and wellbeing benefits including healthcare and prevention/wellness programs; at least 14 weeks’ gender-neutral parental leave.
Application Instructions
- Not provided in the text.