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Protein ML Senior Principal Data Scientist

Reads like a ML Engineer role: putting models into production.

Waltham, MA

Pay
$148,500–214,500/yearAnnual period assumed — pay source
The salary range for this position is: $148,500.00 - $214,500.00 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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
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What you’ll work on

Full posting
  • Develop protein property prediction models for immunogenicity, stability and manufacturability

  • Refine language-based foundational protein representations to optimize vaccine candidates

  • Analyze relationships between protein sequences, structures and functional data

  • Collaborate with structural biology, protein design and bench lab teams to improve model quality

  • Maintain the modeling codebase to best practices, with reproducible, documented results

From the employer’s posting
Develop state-of-the-art protein property prediction models with a focus on immunogenicity, stability, and manufacturability
Leverage and refine language-based foundational protein representations to accelerate the identification and optimization of vaccine candidates.
Analyze complex relationships between protein sequences, structures, and functional data
Collaborate with structural biology, protein design, and bench lab teams to shape the strategy for protein modeling and to iteratively improve model quality
Maintain the modeling codebase according to best coding practices, ensuring results are robust, reproducible, and well-documented.

What you’ll bring

All qualifications

Core experience

  • 2 + years of industry or academic setting experience.

Preferred experience

  • Deep knowledge of protein representation models such as ESM
  • Familiarity with molecular dynamics, next-generation sequencing analysis, and deep mutational scanning is an advantage.
  • Familiarity with agentic tools such as Claude Code for automated software engineering strongly preferred.
  • Demonstrated ability to communicate fluently — in writing and in person — across computational and bench lab teams, adapting messaging to diverse audiences including senior leadership
Qualification wording
2 + years of industry or academic setting experience.
Deep knowledge of protein representation models such as ESM
Familiarity with molecular dynamics, next-generation sequencing analysis, and deep mutational scanning is an advantage.
Familiarity with agentic tools such as Claude Code for automated software engineering strongly preferred.
Demonstrated ability to communicate fluently — in writing and in person — across computational and bench lab teams, adapting messaging to diverse audiences including senior leadership
Education & alternatives
Education - PhD degree in Computational Biology, Data Science, Applied Mathematics, Biophysics or a closely related field Experience

Tools in this posting

  • Python
  • R
  • SQL
  • PyTorch
Source — Tool mentions in context
- Exceptional track record in computational biology, encompassing protein language models, biophysics, and the development of AI-based predictive models; prior experience with immunogenicity predictors is a plus. - Advanced proficiency in Python, R, and SQL, with hands-on experience in PyTorch and AI-based structural modeling tools such as AlphaFold, OpenFold, and Boltz - Deep knowledge of protein representation models such as ESM

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 2026 · 2 days ago
Recorded sightings
8
Last seen by us
Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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  • Check the listed location, eligibility and core experience before starting.

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Job description

View original posting ↗

Job Title: Protein ML Senior Principal Data Scientist

Location: Waltham, MA

 

About the Job:
As Protein ML Senior Principal Data Scientist within our Vaccines R&D Data and Computational Sciences team, you'll design and deploy state-of-the-art machine learning models that predict protein properties and accelerate the development of next-generation vaccines. Ready to get started?


In this role, you will harness the power of protein language models and foundational AI to predict immunogenicity, stability, and manufacturability — properties that are critical to bringing safe, effective vaccines to the world. Working at the interface of computational and experimental science, you will collaborate closely with antigen design and bench lab teams to iteratively refine protein property predictors and translate computational insights into real-world vaccine candidates.


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.

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 state-of-the-art protein property prediction models with a focus on immunogenicity, stability, and manufacturability to support vaccine design.
  • Leverage and refine language-based foundational protein representations to accelerate the identification and optimization of vaccine candidates.
  • Analyze complex relationships between protein sequences, structures, and functional data to uncover generalizable representations applicable across vaccine programs.
  • Collaborate with structural biology, protein design, and bench lab teams to shape the strategy for protein modeling and to iteratively improve model quality
  • Maintain the modeling codebase according to best coding practices, ensuring results are robust, reproducible, and well-documented.
  • Mentor and upskill colleagues on the latest advances in protein modeling tools and techniques, fostering a culture of continuous learning and scientific rigor.
  • Communicate scientific findings clearly and compellingly to a broad range of internal and external stakeholders, adapting the level of detail to each audience.

About You:


Education

  • PhD degree in Computational Biology, Data Science, Applied Mathematics, Biophysics or a closely related field

Experience

  • 2 + years of industry or academic setting experience.

 

Preferred Qualifications

  • Exceptional track record in computational biology, encompassing protein language models, biophysics, and the development of AI-based predictive models; prior experience with immunogenicity predictors is a plus.
  • Advanced proficiency in Python, R, and SQL, with hands-on experience in PyTorch and AI-based structural modeling tools such as AlphaFold, OpenFold, and Boltz
  • Deep knowledge of protein representation models such as ESM
  • Familiarity with molecular dynamics, next-generation sequencing analysis, and deep mutational scanning is an advantage.
  • Familiarity with agentic tools such as Claude Code for automated software engineering strongly preferred.
  • Demonstrated ability to communicate fluently — in writing and in person — across computational and bench lab teams, adapting messaging to diverse audiences including senior leadership
  • Proven ability to mentor junior colleagues and lead collaboratively in the area of protein modeling.
  • Strong problem-solving, communication, and collaboration skills across multidisciplinary teams.

Language

  • 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 AI-driven research, smart manufacturing, and groundbreaking mRNA platforms that are redefining the future of immunology.
  • Help protect half a billion people every year, contributing to one of the largest global vaccination efforts in healthcare.
  • Develop your career with access to mentoring, international mobility programs, and opportunities to grow across four continents.

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.



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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.

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:

$148,500.00 - $214,500.00

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.

Source details

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Pay
The salary range for this position is: $148,500.00 - $214,500.00 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.
Location & working pattern

Waltham, MA

Working pattern and location restrictions need checking in the full posting.

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