2027 Spring Post Doctoral Fellow Purification Process Development, Waltham, MA

Sanofi • Waltham, MA

3d • Onsite

About The Position

The Genomic Medicine Unit (GMU) Chemistry, Manufacturing and Control (CMC) group at Sanofi is dedicated to the establishment of best-in-class manufacturing platforms to support the development of life-changing advanced gene therapy products, including recombinant Adeno-associated viral vectors (AAV) and non-viral gene therapy products. We are seeking a highly motivated and creative scientist to join the Purification Process Development team as a Postdoctoral Fellow. This position focuses on advancing the application of machine learning to facilitate anion exchange (AEX) chromatography for full vector enrichment in AAV drug substance process development. Additionally, the fellow will have significant opportunities to contribute to Sanofi's digital transformation by collaborating on projects with other CMC teams and global process modeling and data science teams. This is an exciting opportunity to leverage the transformative power of data science in the CMC field, accelerating breakthroughs for patients. Join us and contribute to Sanofi's ambition to become the first pharmaceutical company powered by artificial intelligence at scale. 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.

Requirements

• Currently holding a Ph.D. in chemical engineering, bioinformatics, cheminformatics or data science with a strong track record of publications.
• 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.

Nice To Haves

• Strong laboratory experience and technical expertise in chromatography.
• Knowledge and hands-on experience with machine learning methodologies.
• Proficiency in programming languages such as Python or R for data analysis and model building.
• Ability to work independently or with minimal supervision and collaborate in a highly matrixed environment.
• Be effective for both verbal and written communications.
• Highly motivated and can deliver results within defined time frame.
• Curious and bold in proposing creative experimental designs and ideas.
• Ability to work in Biosafety Level 2 (BSL-2) lab, follow safe lab procedures, and maintain good laboratory practices including detail-oriented laboratory notebook documentation.
• Understanding of manufacturing scale purification process to produce drug substance.
• Experience in mechanistic modeling and data-driven models in purification process development.
• Demonstrated ability to translate mathematical models into computer programs using programming languages, e.g. Python or similar.

Responsibilities

• Systematically collect, clean, and analyze AEX chromatography data to enable advanced data analysis.
• Build and evaluate predictive machine learning models.
• Integrate predictive machine learning models with the chromatography system to enable real-time decision-making.
• Collaborate with cross-functional teams and present scientific findings.
• Draft technical reports and external publications to summarize scientific findings.

Benefits

• apprenticeships
• internships
• graduate programs
• international experiences
• access to the latest tools
• digital innovation
• continuous learning

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree