Pay
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2027 Spring Co-op Process and CMC Data Science, Waltham, MA
Waltham, MA
Actively hiring, first seen by us 5 days ago- Pay
$27–60/hour — pay source
Compensation The salary range for this position is $27.00 -$60.00 hourly. All compensation will be determined commensurate with demonstrated experience #LI-Onsite
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
Pursuing a Master s or PhD in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Computational Science, Biomedical Engineering, Applied Mathematics, or a related quantitative field at an accredited college or university
- Work authorization
- Must already have the right to work in the US
Must be permanently authorized to work in the US and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future
What you’ll work on
Full postingDevelop and validate first-principle, ML, and hybrid models for T-mixing and TFF
Apply CFD, molecular dynamics, or quantum chemistry simulations to LNP formulation
Study how process parameters affect critical quality attributes and quantify uncertainty
Design and run Design of Experiments studies for model selection and optimization
Document workflows and results in technical reports and presentations
From the employer’s posting
Develop and validate first-principle, ML, and hybrid models for drug-product unit operations such as T-mixing and TFF
Apply CFD, Molecular Dynamics, and/or Quantum Chemistry simulations to characterize mixing behavior, nanoparticle formation, or molecular-level interactions relevant to lipid nanoparticle (LNP) formulation.
Investigate the impact of process parameters on critical quality attributes (CQAs) and quantify associated uncertainties using statistical and computational methods.
Design and execute Design of Experiments (DoE) for model structure selection, parameter estimation, and process optimization.
Document modeling workflows, results, and recommendations in clear technical reports and presentations.
What you’ll bring
All qualificationsPreferred experience
- Experience developing physics-informed or physics-constrained ML, first-principle models including CFD (Ansys Fluent), Molecular Dynamics (GROMACS, LAMMPS, VMD), or Quantum Chemistry (Gaussian, ORCA) simulations, or hybrid dynamic models for physical or biological systems.
- Proficiency in one or more modeling and programming tools: Ansys Fluent, Python (must) (BOTorch, PYOMO), Julia, MATLAB, or gPROMS.
- Familiarity with Design of Experiments (DoE), uncertainty quantification, or Bayesian optimization.
Qualification wording
Experience developing physics-informed or physics-constrained ML, first-principle models including CFD (Ansys Fluent), Molecular Dynamics (GROMACS, LAMMPS, VMD), or Quantum Chemistry (Gaussian, ORCA) simulations, or hybrid dynamic models for physical or biological systems.
Proficiency in one or more modeling and programming tools: Ansys Fluent, Python (must) (BOTorch, PYOMO), Julia, MATLAB, or gPROMS.
Familiarity with Design of Experiments (DoE), uncertainty quantification, or Bayesian optimization.
Education & alternatives
Basic Qualifications: - Pursuing a Master's or PhD in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Computational Science, Biomedical Engineering, Applied Mathematics, or a related quantitative field at an accredited college or university. - Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
About Sanofi
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 5
Early. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Sanofi is hiring
39 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Julia
- MATLAB
- Python
Where the posting names them
- Experience developing physics-informed or physics-constrained ML, first-principle models including CFD (Ansys Fluent), Molecular Dynamics (GROMACS, LAMMPS, VMD), or Quantum Chemistry (Gaussian, ORCA) simulations, or hybrid dynamic models for physical or biological systems. - Proficiency in one or more modeling and programming tools: Ansys Fluent, Python (must) (BOTorch, PYOMO), Julia, MATLAB, or gPROMS. - Familiarity with Design of Experiments (DoE), uncertainty quantification, or Bayesian optimization.
Your next step
Complete your application on sanofi.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Title: 2027 Spring Co-op Process and CMC Data Science
Grade: Co-op
Location: Waltham, MA
Duration: 6 months
About the Job
Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivated Spring Co-op to join our Process and CMC Data Science team.
We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.
The Co-op position is located in the Data and Computational Science (DCS) department within Sanofi's mRNA Center of Excellence (mRNA CoE). In this role you will develop first-principle, machine-learning (ML), and hybrid models—including Computational Fluid Dynamics (CFD), Molecular Dynamics, and Quantum Chemistry simulations—for critical drug-product unit operations such as T-mixing and Tangential Flow Filtration (TFF) to accelerate mRNA-based process development.
You will gain hands-on experience with mRNA technology and drug-product formulation and fill-finish operations while applying advanced simulation and modeling techniques. This is a unique opportunity to contribute to cutting-edge biopharmaceutical research at the intersection of computational science and process engineering.
Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams.
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 and validate first-principle, ML, and hybrid models for drug-product unit operations such as T-mixing and TFF in collaboration with your supervisor and cross-functional team members.
Apply CFD, Molecular Dynamics, and/or Quantum Chemistry simulations to characterize mixing behavior, nanoparticle formation, or molecular-level interactions relevant to lipid nanoparticle (LNP) formulation.
Investigate the impact of process parameters on critical quality attributes (CQAs) and quantify associated uncertainties using statistical and computational methods.
Design and execute Design of Experiments (DoE) for model structure selection, parameter estimation, and process optimization.
Analyze experimental and simulation data to generate actionable insights that inform process development decisions.
Document modeling workflows, results, and recommendations in clear technical reports and presentations.
About You
Basic Qualifications:
Pursuing a Master's or PhD in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Computational Science, Biomedical Engineering, Applied Mathematics, or a related quantitative field at an accredited college or university.
Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
Must be enrolled in an accredited college or university throughout the duration of the co-op/internship.
Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.
Preferred Qualifications:
Foundational knowledge of mRNA technology, lipid nanoparticle (LNP) formulation, or biopharmaceutical manufacturing processes.
Experience developing physics-informed or physics-constrained ML, first-principle models including CFD (Ansys Fluent), Molecular Dynamics (GROMACS, LAMMPS, VMD), or Quantum Chemistry (Gaussian, ORCA) simulations, or hybrid dynamic models for physical or biological systems.
Proficiency in one or more modeling and programming tools: Ansys Fluent, Python (must) (BOTorch, PYOMO), Julia, MATLAB, or gPROMS.
Familiarity with Design of Experiments (DoE), uncertainty quantification, or Bayesian optimization.
Strong written and verbal communication skills with the ability to present technical results to diverse audiences.
Minimum cumulative GPA of 3.0 on a 4.0 scale.
Why Choose Us
Bring the miracles of science to life alongside a supportive, future focused team.
Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you.
Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare.
Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve.
Compensation
The salary range for this position is $27.00 -$60.00 hourly. All compensation will be determined commensurate with demonstrated experience
#LI-Onsite
#vhd
Pursue progress, discover extraordinaryBetter 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation The salary range for this position is $27.00 -$60.00 hourly. All compensation will be determined commensurate with demonstrated experience #LI-Onsite
- Location & working pattern
Waltham, MA
Main Responsibilities - Develop and validate first-principle, ML, and hybrid models for drug-product unit operations such as T-mixing and TFF in collaboration with your supervisor and cross-functional team members. - Apply CFD, Molecular Dynamics, and/or Quantum Chemistry simulations to characterize mixing behavior, nanoparticle formation, or molecular-level interactions relevant to lipid nanoparticle (LNP) formulation.
More source context
- Foundational knowledge of mRNA technology, lipid nanoparticle (LNP) formulation, or biopharmaceutical manufacturing processes. - Experience developing physics-informed or physics-constrained ML, first-principle models including CFD (Ansys Fluent), Molecular Dynamics (GROMACS, LAMMPS, VMD), or Quantum Chemistry (Gaussian, ORCA) simulations, or hybrid dynamic models for physical or biological systems. - Proficiency in one or more modeling and programming tools: Ansys Fluent, Python (must) (BOTorch, PYOMO), Julia, MATLAB, or gPROMS.
More relevant text appears in the full description.
- Work authorization
- Pursuing a Master's or PhD in Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Computational Science, Biomedical Engineering, Applied Mathematics, or a related quantitative field at an accredited college or university. - Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship. - Must be enrolled in an accredited college or university throughout the duration of the co-op/internship.