Heading
Waltham, MA
Internship
Onsite
Intern
Sanofi is an R&D-driven, AI-powered biopharma company committed to improving people's lives. As a Co-op mRNA Systems Engineering Intern, you'll develop software to support R&D work for mRNA-based vaccines, assist in creating pipelines and applications, and maintain machine learning models.
Apply NowResponsibilities
- Collaborate with other team members on active code bases
- Learn and apply industry-standard engineering best practices
- Collaborate with stakeholders in the broader mRNA Center of Excellence (COE) to help ensure the business needs of the organization are being met
- Assist and train software users as needed
- Develop pipelines and applications to assist in the screening and design of mRNA sequences and other vaccine components
- Help maintain and upgrade a central repository of machine learning models and other modular components for use in design pipelines
Qualification
Required
- Currently enrolled and pursuing bachelor's or master's degree in Computer Science, Data Science, Bioinformatics, or related field at an accredited college or university with the expectation that you will complete your current degree by the Spring of 2027
- Must be enrolled in school the semester following your internship/co-op with Sanofi
- Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship
- 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 requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship
- Proficient in Python
Preferred
- Exposure to Continuous Integration/Continuous Deployment (CI/CD) workflows
- Some experience with Docker, Kubernetes, or other containerization tools
- Excellent attention to detail
- Strong written and verbal communication skills
- Ability to quickly orient to a new code base
- Familiarity with the training and lifecycle of machine learning models
- Natural curiosity to explore beyond your immediate tasks
- Enthusiasm for understanding how your work fits the bigger picture
Benefits
- High-quality healthcare
- Prevention and wellness programs
- At least 14 weeks’ gender-neutral parental leave