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.

Main responsibilities:

• Develop, calibrate, and validate bioreactor dynamic models to simulate, optimize, and control recombinant protein production and product quality attributes

• Transfer and deploy bioreactor models in a commercial manufacturing environment to support process monitoring and forecasting (digital shadows) and/or real-time bioreactor optimization and control (digital twins)

• 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

• Maintain reproducible computational workflows using appropriate coding, documentation, version control, and data-management practices

• Act as a change agent to support the implementation of process modeling in established cell culture process development workflows

• Document progress against deliverables with rigorous scientific communication via technical presentations, reports and, when appropriate, scientific publications

About You

Basic Qualifications

Education

• PhD in Chemical Engineering, Biochemical Engineering, Process Systems Engineering, Bioengineering, Biomedical Engineering, or related engineering or scientific discipline

• OR Master's degree in any of the above fields

Experience

• PhD holders: Minimum1 yearof relevant experience

• Master's holders: Minimum4 yearsof relevant industry or research experience

• Academic, research assistantship, or industry experience will be considered

• Demonstrated experience developingdynamic models of bioreactor or cell culture processes

• Proficiency in at least one scientific computing language:Python, MATLAB, Julia, or R

Preferred Qualifications

• Experience developing dynamicmechanistic modelsusing ordinary differential equations (ODEs), kinetic rate laws, mass balances, parameter estimation, and model validation

• Strong understanding ofmammalian cell culture process development, including fed-batch and/or perfusion bioreactor operation

• Proven track record of developing and deployingbioreactor digital twins, process models, or advanced monitoring tools in an industrial biopharmaceutical environment

• Understanding ofbioreactor engineering principles: oxygen transfer, mixing, mass transfer, CO2 stripping, kLa, shear, scale-up and scale-down models

• Experience withperfusion bioreactor modeling: cell retention, bleed strategies, media exchange, residence time, productivity, and steady-state operation

• Experience withmultivariate statistical process monitoringtechniques such as PCA or PLS for early fault detection

• Familiarity withsoft sensors, state estimation, Kalman filtering, moving-horizon estimation, or real-time process monitoring and model predictive control

• Track record ofpeer-reviewed publicationsin process modeling/simulation for upstream biopharmaceutical processes

• Prior experience working withinternational/global teamsacross multiple time zones and locations

The position will be based in Framingham on the Sanofi campus. A free Shuttle service is available from downtown Boston.

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 it9s 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 weeks9 gender-neutral parental leave.

• Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.

• Help improve the lives of millions of people globally by making drug development quicker and more effective.

• Achieve genuine work-life balance in a supportive R&D environment.

The salary range for this position is:

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can