2027 Spring Co-op Data Science & Digital Transformation, Framingham, MA

BioSpace; Framingham (MA); On-site; USD 48,000 - 79,000; Full time

Job summary

Sanofi in Framingham, MA invites a Spring Co‑op to contribute to the Data Science & Digital Transformation team. You will work on cross‑functional projects with mentorship from leaders and apply advanced modeling and analytics to healthcare manufacturing challenges.

The program is designed to develop skills in process modeling, digital twins, and data‑driven decision making while delivering real impact on projects and process improvements.

Qualifications

• Currently enrolled at an accredited college or university pursuing a Bachelor's, Master's, or PhD in Chemical Engineering, Biological Engineering, Biochemistry, Computer Science, or a related field.
• Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa at the time of application or in the future.
• 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.

Responsibilities

• Contribute to the evaluation and development of hybrid modeling techniques to improve understanding of cell culture processes.
• Use simulations and process data to identify atypical results.
• Test capabilities of simulation platform and user interface for application to a new use case.
• Work as part of a team, engaging with other scientists and engineers with complementary skill sets.
• Generate documents (presentations, user guides, reports) related to learnings and achievements.

Skills

Python

Programming concepts

Literature search

Chemical kinetics basics

Bioprocess basics

Education

Bachelor's/Master's/PhD in Chemical Engineering, Biological Engineering, Biochemistry, Computer Science or related

Job description

Job Title: 2027 Spring Co-op Data Science & Digital Transformation

Grade: Co-op

Location: Framingham, 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 Data Science & Digital Transformation team.

MSAT Process Data Science & Digital Transformation (MSAT DSD) is a transversal team within the Global MSAT organization. MSAT DSD is the data/digital DNA within the processes allowing us to ensure best in class manufacturing & analytical processes, especially by focusing on data/digital innovations &excellence, aiming to guarantee acceleration and securing launches & improvement as well as sustainability for our current processes.

The Co-op position is in DSD Process Modeling & Control group. The group develops and implements advanced process modeling and technologies (e.g. Digital twins, PAT) to enable Sanofi to better understand, monitor, and control the manufacturing operations, and deliver innovative, robust, and cost-effective next-generation processes. The group is highly cross functional in its interactions across R&D and manufacturing, and provides scientific, technical, process engineering expertise to these organizations.

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, youll be empowered to learn, ask questions, and bring your ideas to life all while supported by inspiring mentors and collaborative teams.

About Sanofi

Were an R&D-driven, AI-powered biopharma company committed to improving peoples 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 peoples lives.

Main Responsibilities

• Contribute to the evaluation and development of hybrid modeling techniques to improve understanding of cell culture processes
• Use simulations and process data to identify atypical results
• Test capabilities of simulation platform and user interface for application to a new use case
• Work as part of a team, engaging with other scientists and engineers with complementary skill sets
• Generate documents (presentations, user guides, reports) related to learnings and achievements

About You

Basic Qualifications

• Currently enrolled at an accredited college or university pursuing a Bachelors, Masters, or PhD in Chemical Engineering, Biological Engineering, Biochemistry, Computer Science, or a 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.

PreferredQualifications

• Knowledge of computer programming concepts (Python preferred)
• Understanding of basic chemical reaction mechanisms and empirical equations.
• Understanding of basic concepts of cell growth and metabolism
• Experience with scientific literature search.

Experience With Mechanistic, Statistical, And/or Machine Learning Techniques Preferred

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$35 -$57 USD hourly. All compensation will be determined commensurate with demonstrated experience.