Senior Associate Scientist

Job Title: Senior Associate Scientist

• Location: Cambridge, MA

• Grade: L1-2

• Hiring Manager: Eva Bric-Furlong
   

About the Job
 

At Sanofi we are committed in our quest to be a world-class biologics research organization and are steadfast in our goal to bring next generation, transformative therapies to patients. Our global Large Molecule Research (LMR) organization is focused on antibodies and NANOBODY® molecules as therapeutic modalities. Our platform enables and partners closely with other research platforms and Sanofi’s therapeutic areas (Immunology & Inflammation, Immuno-Oncology, Rare & Neurologic Diseases) in the discovery and ultimate delivery of new candidate molecules.

We are seeking a talented and highly motivated Senior Associate Scientist to join our dynamic team in the Molecular, Expression and Screening Technologies (MEST) Group within Sanofi’s North America R&D LMR organization. The lab-based candidate will be responsible for the ultra-high-throughput expression of protein/antibody tools and therapeutic candidates designed by state-of-the-art digital AI/ML models and structural biology using cutting-edge automated systems. The candidate will work closely with other functional groups in MEST as well as LMR (Antibody Discovery, Protein Production and Protein Engineering) to discover new therapeutic antibodies. The focus of this position is on the day-to-day operation of high-throughput protein production systems including scheduling software, maintenance and troubleshooting of this system and its components. Experience with mammalian cell culturing, maintenance and expansion of cell lines as well as the transfection of mammalian cells using recombinant DNA are key. The demand for production of complex variants has significantly increased year on year, with additional increases expected.
 

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.

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

• Operate and maintain high-throughput automated protein production systems, including liquid handlers (Tecan/Hamilton) and integrated scheduling software

• Execute transient mammalian protein expression workflows at scale, including plasmid preparation, mammalian cell transfection using recombinant DNA, and cell line maintenance and expansion

• Manage and troubleshoot automated instrumentation to ensure optimal performance and minimal downtime

• Utilize GeneData Biologics and other biological registration systems for accurate data entry, sample tracking, and production management

• Analyze and interpret large-scale production datasets using tools such as Spotfire and R (statistical programming) to support AI/ML model inputs and research decisions

• Develop and maintain R-based scripts and workflows for data processing, visualization, and reporting of high-throughput experimental results

•  Present findings and technical updates clearly and concisely to diverse scientific audiences

•  Collaborate effectively with cross-functional teams to meet production goals and research timelines

About You

Basic Qualifications:

• BS or MS in Biology, Biochemistry, Molecular Biology, or a related field

• Proven hands-on experience in a research laboratory or biopharma/biotech environment

• Proven experience operating high-throughput automation and liquid handling systems (Tecan, Hamilton, or equivalent)

• Hands-on expertise in transient mammalian protein expression and mammalian cell culture techniques

• Proficiency in GeneData Biologics or equivalent biological registration systems

• Experience analyzing and transforming large datasets using Spotfire, R,