Sanofi US Services Inc. Posted August 6, 2026

Senior Scientist - Process Modelling

Framingham, United States Full time
Data & Digital Senior

Sanofi US Services Inc. is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

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 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: Minimum 1 year of relevant experience

Master's holders: Minimum 4 years of relevant industry or research experience

Academic, research assistantship, or industry experience will be considered

Demonstrated experience developing dynamic models of bioreactor or cell culture processes

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

Preferred Qualifications

Experience developing dynamic mechanistic models using ordinary differential equations (ODEs), kinetic rate laws, mass balances, parameter estimation, and model validation

Strong 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

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 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.

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.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law

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Pursue progress , discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

North America Applicants Only

The salary range for this position is:

$100.500,00 - $145.166,66

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK .

Job details

Seniority
Senior
Function
Data & Digital
Therapeutic area
Not listed
Location
Framingham, United States
Employment type
Full time

How this role compares

Computed from every other active Data & Digital role in our database, not just this employer's listings.

We currently track 92 comparable Senior Data & Digital roles across 23 biopharma companies.

92Comparable roles tracked
87Currently active
23Companies hiring similar roles
13Countries represented

Salary context

16 of 92 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject Not listed on this posting
Lowest disclosed · Senior Associate, Metadata Engineering · Pfizer $79,400/yr – $132,400/yr
Highest disclosed · Associate Director, AI Engineer - Remote · Novartis $176,400/yr – $327,600/yr
Peer group range $105,900 – $252,000 (median $184,800)

Where these roles are based

Top locations among the 92 comparable roles

India48
United States22
United Kingdom5
Japan3
Ireland3
Spain2

+ 7 more countries

Seniority mix

92 of 92 peers have a known seniority level

Senior56
Associate Director20
Principal16

Therapeutic area mix

2 of 92 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology1
Immunology1

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

60%similar
E.R. Squibb & Sons,L.L.C. Princeton, United States Senior
Same function Same seniority Same country
60%similar
Novartis LaJolla/SD, United States Senior
Same function Same seniority Same country
60%similar
AbbVie North Chicago, IL Senior
Same function Same seniority Same country
60%similar
Pfizer New York City, United States Senior
Same function Same seniority Same country
60%similar
Novartis Cambridge (USA), United States Senior
Same function Same seniority Same country
50%similar
Regeneron Pharmaceuticals, Inc (USA) Warren, United States Principal
Same function Adjacent seniority Same country

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

60%
Senior Data Engineer
E.R. Squibb & Sons,L.L.C. · Princeton, United States · Senior
Function Therapeutic area Seniority Country
60%
Senior Associate, Metadata Engineering
Pfizer · New York City, United States · Senior
Function Therapeutic area Seniority Country
50%
Principal Statistical Programmer
Regeneron Pharmaceuticals, Inc (USA) · Warren, United States · Principal
Function Therapeutic area Adjacent seniority Country
50%
Associate Director, Biostatistics - Genetic Medicine
Regeneron Pharmaceuticals, Inc (USA) · Tarrytown, United States · Associate Director
Function Therapeutic area Adjacent seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.