Sanofi Vaccines US Inc. Posted October 26, 2026

Process modeling (Protein/Antigen) Principal Data Scientist

Waltham, United States Full time
Notify me about similar jobs

Sanofi Vaccines US 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: Process modelling (Protein/Antigen) Principal Data Scientist

Location: Waltham, MA

About the Job

As Principal Data Scientist within our Process Modeling – Vaccines R&D Data & Computational Science team, you'll lead the development of AI, machine learning, and hybrid modeling solutions that accelerate the future of recombinant protein vaccine manufacturing. Ready to get started?

Join the team protecting half a billion lives every year with next-gen science, mRNA innovation, and AI-driven breakthroughs. In Vaccines, you'll help advance prevention on a global scale - and shape the future of immunization.

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. In this role, you'll work closely with process development, analytical, and manufacturing teams to improve process understanding and optimize performance across CHO cell culture, baculovirus expression systems, protein purification, and cell line development. You'll bring scientific rigor and computational innovation together to enable data-driven decisions that strengthen how we develop and manufacture life-saving vaccines.

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

• Lead the development and deployment of AI, machine learning, mechanistic, and hybrid modeling solutions to accelerate recombinant protein vaccine process development and manufacturing.

• Apply advanced analytics to identify critical process parameters, predict product quality, improve yield, and optimize process performance.

• Develop modeling solutions for upstream processes, including CHO cell culture, baculovirus and insect cell expression systems, and cell line development.

• Support optimization of downstream purification operations, including chromatography, filtration, and ultrafiltration/diafiltration, through data-driven and model-based approaches.

• Build and deploy digital twins, simulation tools, and decision-support frameworks to support process optimization, scale-up, technology transfer, and lifecycle management.

• Collaborate with process development, analytical sciences, manufacturing, and digital teams to integrate process knowledge and data into actionable insights.

• Provide scientific leadership and mentorship in AI, machine learning, data science, and process modeling across the organization.

About You

Basic Qualifications

Education

Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Computational Biology, Data Science, Applied Mathematics, or a related scientific discipline

 

Experience

2+ years of relevant experience in the pharmaceutical industry

Preferred Qualifications

Background applying data science, machine learning, and process modeling in biopharmaceutical, biologics, vaccine, or related development environments, including recombinant protein production and manufacturing.

Expertise in AI, machine learning, multivariate data analysis, mechanistic and hybrid modeling, digital twins, process simulation, Bayesian optimization, and Design of Experiments, including model-based approaches.

Experience supporting CHO cell culture, baculovirus expression systems, protein purification, and/or cell line development

Proficiency in scientific computing and modeling platforms such as Python, R, MATLAB, JMP, gPROMS, GoSilico, or equivalent tools

Strong scientific leadership, problem-solving, communication, and cross-functional collaboration skills.

Languages: Fluent English required.

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.

Enjoy opportunities to collaborate beyond your area of expertise, working with diverse teams across science, clinical, and digital fields to spark new ideas and drive breakthroughs.

Sanofi US Services and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive 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.

#GD-SP

#LI-SP

#vhd

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.

Sanofi US endeavours to make our career center accessible to any and all users. If you are experiencing difficulty and need assistance applying online, please call 1-866-SANOFI2 (1-866-726-6342) or click here

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive 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.

North America Applicants Only

The salary range for this position is:

$122,250.00 - $176,583.33

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  be found here.

Job details

Seniority
Principal
Function
Data & Digital
Therapeutic area
Not listed
Location
Waltham, 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 250 comparable Principal Data & Digital roles across 49 biopharma companies.

250Comparable roles tracked
223Currently active
49Companies hiring similar roles
25Countries represented

Salary context

74 of 250 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 $122,250/yr – $176,583/yr
Highest disclosed · Director, AI and Machine Learning for Biology · Novartis $194,600/yr – $361,400/yr
Peer group range $103,700 – $278,000 (median $220,975)

Where these roles are based

Top locations among the 250 comparable roles

United States114
India55
United Kingdom16
Spain13
Germany7
Poland6

+ 19 more countries

Seniority mix

250 of 250 peers have a known seniority level

Senior118
Director74
Principal58

Therapeutic area mix

5 of 250 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Neuroscience2
Cardiovascular / CVRM1
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
Pfizer Groton, United States Principal
Same function Same seniority Same country
60%similar
Novartis Cambridge (USA), United States Principal
Same function Same seniority Same country
60%similar
Regeneron Pharmaceuticals, Inc (USA) Warren, United States Principal
Same function Same seniority Same country
60%similar
Sanofi US Services Inc. Cambridge, United States Principal
Same function Same seniority Same country
60%similar
Vertex Pharmaceuticals Inc (US) Boston, United States Principal
Same function Same seniority Same country
60%similar
Amgen USA Inc. Thousand Oaks, United States Principal
Same function Same seniority Same country

Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

Or follow a whole field: get every new Data & Digital job in the United States, and choose locations and companies.

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%
Principal ML/AI Cheminformatics Scientist
Pfizer · Groton, United States · Principal
Function Therapeutic area Seniority Country
60%
Principal Statistical Programmer - Internal Medicine
Regeneron Pharmaceuticals, Inc (USA) · Warren, United States · Principal
Function Therapeutic area Seniority Country
60%
Senior Principal AI Engineer
Vertex Pharmaceuticals Inc (US) · Boston, United States · Principal
Function Therapeutic area Seniority Country
60%
Principal Data Engineer, AI Enablement
AbbVie · North Chicago, IL · Principal
Function Therapeutic area 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.