2027 Spring Co-op Bioinformatic Digital Data Scientist - Global Immunology, Waltham, MA

Job Title: 2027 Spring Co-op Bioinformatic Digital Data Scientist - Global Immunology

• 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 Bioinformatic Digital Data Scientist - Global Immunology team.

The Global Immunology department in Sanofi, Vaccines R&D is seeking a highly motivated and organized Co-op student to join the Early-Stage Immunology group.

This position will serve as an integral member of a research team responsible for supporting our Immunology and Vaccines organizations by supporting complex data entries in the electronic notebooks, analyzing biological datasets, developing computational models, and discovering insights through statistical and algorithmic techniques.

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 implement computational pipelines and analytical methods for processing large-scale immunological datasets from vaccine research and development programs.

• Quality check research data entries to the electronic notebooks.

• Be responsible for analyzing and interpreting complex biological data from various sources including genomic sequencing, proteomics, and immunological assays. Get trained and subsequently apply expertise in programming languages (Python/R), statistical analysis tools, and bioinformatics software to process and analyze high-throughput data.

• Has a strong commitment to data quality and reproducibility while establishing best practices in computational analysis and promoting robust documentation standards. Participate in code maintenance and pipeline optimization as required.

• Be responsible for data visualization, statistical analysis, and appropriate documentation through computational notebooks and version control systems. Actively participate in the project/group meetings through attendance, presentation of analytical results, and contributing to scientific discussions. May participate in the implementation of analytical pipelines for pre-clinical immunology groups.

• All work is performed in a collaborative research environment and will involve training in relevant computational tools, databases, and platforms used in vaccine research and development.

About You

Basic Qualifications:

• Currently pursuing a bachelor’s or master’s degree in bioinformatics, Computational Biology, Data Science, Computer Science, or related field.

• 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:

• Coursework in statistics, programming, and biological sciences

• Basic programming skills in at least one language (Python, R, or similar).

• Understanding of biological concepts, particularly in immunology or related fields.

• Nice to have: Immunological assay data experience (ELISA, cell-based assays).

• Strong analytical and problem-solving skills.

• Proficient English language written, and verbal skills are required.

• Ability to work effectively in a collaborative team environment.

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 -$35.00 hourly. All compensation will be determined commensurate with demonstrated experience.

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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.

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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.