2027 Summer Co-Op Opportunities, Waltham, MA
Sanofi is hiring a 2027 Summer Co-Op Opportunities, Waltham, MA. It pays $27-$60/hr and Level rates it ; you can apply on Sanofi.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- Sanofi mentions visa sponsorship in this posting.
- Tools and skills the posting cites include Python, Machine learning and Simulation Software.
- Level classifies it as an internship.
- Level lists 1,200+ other open roles at Sanofi.
AI in this role
Summer Co-Op for data science and AI-driven biopharma research, computational modeling, and drug discovery.
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.
This Co-op opportunity will have a 6 months duration starting June 2027.
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.
Available Disciplines
Data Science & Digital Transformation: Transform vast amounts of scientific data into insights that accelerate drug discovery and improve patient outcomes using AI and machine learning.
Process & CMC Data Science: Bridge the gap between cutting-edge computational modeling and pharmaceutical manufacturing by developing first-principle, machine learning, and hybrid models that accelerate mRNA and vaccine process development — transforming complex scientific data into actionable insights that bring life-saving medicines to patients faster.
Process Modeling & Simulation: Harness computational modeling, machine learning, and multi-physics simulation to accelerate pharmaceutical process development, transforming lab-scale discoveries into scalable, optimized manufacturing solutions.
Drug Substance Development: Shape the initial form of medicines that patients receive, ensuring every pill, injection, or treatment delivers hope and healing with precision and safety.
Characterization: Become a molecular detective, unlocking the secrets of biological medicines to ensure every dose meets the highest standards of quality and efficacy.
Genomic Medicine Unit (GMU): Pioneer the future of medicine by developing gene therapies that could cure genetic diseases at their source, rewriting medical textbooks.
About You
Basic Qualifications:
Currently enrolled at an accredited college or university pursuing a degree in:
Bachelor's in: Chemical Engineering, Biomedical Engineering, Biochemical Engineering, Bioprocess Engineering, Computational Biology, Data Science, Biotechnology, Life Sciences (Biology, Microbiology, Molecular Biology), Chemistry, Biochemistry, Pharmaceutical Sciences, or related STEM field, with plans to graduate by the end of 2028.
or
Master's in: Biology, Molecular Biology, Genetics, Microbiology, Biotechnology, Biomedical Sciences, Biomedical Engineering, Chemical Engineering, Biochemical Engineering, Bioinformatics, Computational Biology, Computer Science, Data Science, Organic Chemistry, Medicinal Chemistry, Pharmaceutical Sciences, Materials Science, Software Engineering, or related life sciences, engineering, and technical fields, with plans to graduate by the end of 2028.
or
PhD in: Chemical Engineering, Biochemical Engineering, Mechanical Engineering, Computational Science, Biomedical Engineering, Applied Mathematics, Pharmaceutical Sciences, or related quantitative field, with plans to graduate by the end of 2028.
Candidates must also meet the following eligibility requirements:
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.
Why Chose 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.
Explore more with personalized development plans, short-term gigs, and internal mobility across functions and countries.
Grow in a purpose-driven company where your voice matters and your work helps improve millions of lives.
Thrive in inclusive, flexible workplaces that support your personal and professional well-being.
Launch your career with a company that invests in you — and empowers you to reimagine what's possible.
Compensation
The salary range for this position is: $27- $60 hourly. Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors.
#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.
How we rate this
2027 Summer Co-Op Opportunities, Waltham, MA at Sanofi rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where computational biology was part of your work. What did you do?
- Tell me about a project where process modeling was part of your work. What did you do?
- Tell me about a project where bioprocess engineering was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Science, Computational Biology, Process Modeling, Bioprocess Engineering, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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