Sanofi
Biopharma
SeniorScientist-ProcessModelling
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Scientist - Process Modelling at Sanofi. Skills: Process Modelling, Bioreactor Dynamics, Data Science, Scientific Computing. Develop, calibrate, and validate bioreactor dynamic models. Simulate, optimize, and control recombinant protein production”
What You'll Achieve.
Deliver processes of optimum product quality; Supply material for clinical trials; Ensure robust transfer of the process to our commercial organization; Simulate, optimize, and control recombinant protein production and product quality attributes; Support process monitoring and forecasting; Support real-time bioreactor optimization and control
Industry & Context.
Process modelling; Data analytics; Optimize and control recombinant protein production; Process monitoring and forecasting; Real-time bioreactor optimization and control; Early fault detection
What They're Looking For.
Must Have
PhD in Chemical Engineering, Biochemical Engineering, Process Systems Engineering, Bioengineering, Biomedical Engineering, or related engineering or scientific discipline, Master's degree in any of the above fields, Minimum 1 year of relevant experience (academic, research assistantship, or industry experience will be considered), Minimum 4 years of relevant industry or research experience, Demonstrated experience developing dynamic models of bioreactor or cell culture processes, Proficiency in at least one scientific computing language: Python, MATLAB, Julia, or R
Nice to Have
Experience developing dynamic mechanistic models using ordinary differential equations (ODEs), kinetic rate laws, mass balances, parameter estimation, and model validation, Understanding of mammalian cell culture process development, including fed-batch and/or perfusion bioreactor operation, Proven track record of developing and deploying bioreactor digital twins, process models, or advanced monitoring tools in an industrial biopharmaceutical environment, Understanding of bioreactor engineering principles: oxygen transfer, mixing, mass transfer, CO₂ stripping, kLa, shear, scale-up and scale-down models, Experience with perfusion bioreactor modeling: cell retention, bleed strategies, media exchange, residence time, productivity, and steady-state operation, Experience with multivariate statistical process monitoring techniques such as PCA or PLS for early fault detection, Familiarity with soft sensors, state estimation, Kalman filtering, moving-horizon estimation, or real-time process monitoring and model predictive control, Track record of peer-reviewed publications in process modeling/simulation for upstream biopharmaceutical processes, Prior experience working with international/global teams across multiple time zones and locations
What You'll Do.
and validate bioreactor dynamic models
and control recombinant protein production
Transfer and deploy bioreactor models
Support process monitoring and forecasting
Support real-time bioreactor optimization and control
Maintain reproducible computational workflows
Document progress against deliverables
How You'll Work.
Team & Collaboration
Work as part of matrix project teams with cell-culture development, process development, analytical, automation, and data science teams across R&D and manufacturing; Communicate model assumptions, uncertainty, limitations, and process interpretation to technical and non-technical stakeholders; Prior experience working with international/global teams across multiple time zones and locations
Communication Scope
Communicate model assumptions, uncertainty, limitations, and process interpretation to technical and non-technical stakeholders; Rigorous scientific communication via technical presentations, reports and, when appropriate, scientific publications
Full Job Description
**Job Title:** Senior Scientist - Process Modelling **Location:** Framingham, MA **About the Job** The global CMC (Chemistry Manufacturing and Control) function is responsible for process development activities in R&D, designing appropriate control strategy to deliver processes of optimum product quality, supplying material for clinical trials and ensuring robust transfer of the process to our commercial organization. The CMC organization is undergoing a substantial digital transformation that is transforming our experimental workflows. The digitalization of the lab activities provides automated access to experimental data, contextualization and centralization of the data accessible to scientists across all CMC sites and functions. As experimental data becomes readily available, the data consumption strategy is taking a central role in the department, with a strong focus on data preparation, data flow and data consumption, feeding applications developed in-house and commercial software used across CMC for data visualization, data modeling and advanced data analytics. In this role, you will be based in the process modelling team within the CMC Data Science group. Our team provides process modeling and data analytics support for cell line selection, cell culture process development, process scale-up and technology transfer across microbial hosts, mammalian hosts, and gene therapies. 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. **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 Responsibilit
Applying for this Senior Scientist - Process Modelling role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Sanofi?
Real rants from real employees. Read before you apply.