2027 Spring Co-op Upstream Automatic Control

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Framingham, MAFresher1h agovia LinkedIn

About The Job

Join Sanofi for a 6-month Spring Co-op in the Upstream team, part of Global MSAT (Manufacturing Sciences, Analytics, and Technology). This role offers exposure to upstream cell culture operations, process technologies, and digital/automation initiatives. You will work alongside scientists and engineers supporting process development and lifecycle management, contributing to laboratory and digital projects, data analysis, and documentation.

Main Responsibilities

  • Develop and implement automated bioreactor control strategies, integrating mammalian cell culture operations, Process Analytical Technology (PAT), and cloud-based control software.
  • Support MSAT development activities related to upstream bioreactor operation, including hands-on lab work and integration of PAT tools (e.g., Raman spectroscopy, online sensors) for real-time process monitoring.
  • Develop and test control logic and software interfaces linking analytical equipment and bioreactor control systems for closed-loop and predictive feeding control.
  • Assist with insilico simulation, configuration, and testing of control strategies.
  • Collaborate with scientists and engineers to ensure reliable data flow, system connectivity, and control performance.
  • Provide regular project updates and deliver a final technical presentation.

Requirements & Tech Stack

  • Currently pursuing a bachelor's, master's, or PhD degree in Chemical Engineering, Computational Science, Bioengineering, Biotechnology, Biochemistry, or related fields, with plans to graduate by Spring 2028.
  • Must be permanently authorized to work in the U.S. without requiring future sponsorship.
  • Must be enrolled in an accredited college or university throughout the co-op/internship duration.
  • Ability to relocate to Framingham, MA, and work 40 hours/week, Monday-Friday, for the full duration.

Qualifications

  • Hands-on experience with mammalian cell culture, aseptic technique, and basic cell biology techniques.
  • Experience with Python coding for data analysis, automation, or control-related applications.
  • Basic understanding of cell biology, biochemistry, and laboratory procedures.
  • Ability to follow lab safety procedures.
  • Proficiency in Microsoft Office software (Excel, PowerPoint, Word).
  • Excellent communication skills (written and verbal).
  • Highly organized with a keen attention to detail.

Compensation

  • Salary range: $35 - $57 hourly.

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