Spring Data Science Co-op: Digital Transformation

BioSpace; Framingham (MA); Vor Ort; USD 48.000 - 79.000; Teilzeit

Zusammenfassung

Sanofi in Framingham, MA is offering a 6‑month Spring Co-op in Data Science & Digital Transformation within the MSAT DSD group. You will contribute to hybrid modeling, simulations, and process data analyses to understand and control manufacturing processes, while collaborating with scientists and engineers across functions.

The program emphasizes mentorship, hands-on project work, and opportunities to learn cutting‑edge digital technologies in a healthcare manufacturing setting.

Qualifikationen

• 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 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.

Aufgaben

• Contribute to 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 UI for new use case.
• Work as part of a team with other scientists and engineers.
• Generate documents related to learnings and achievements.

Kenntnisse

Python programming

Data analysis

Chemical engineering knowledge

Ausbildung

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

Tools

Python

Jobbeschreibung

Sanofi in Framingham, MA is offering a 6‑month Spring Co-op in Data Science & Digital Transformation within the MSAT DSD group. You will contribute to hybrid modeling, simulations, and process data analyses to understand and control manufacturing processes, while collaborating with scientists and engineers across functions.

The program emphasizes mentorship, hands-on project work, and opportunities to learn cutting‑edge digital technologies in a healthcare manufacturing setting.