Senior Associate Scientist, Bioprocess Analytics

Sanofi•Framingham, MA

2d•Onsite

About The Position

Sanofi is committed to being a world-class biologics research organization, striving to bring next generation, transformative therapies to patients. Our BioAnalytics US team, as part of Global CMC Development organization, plays a critical role in advancing Sanofi's R&D pipelines from early discovery through late-stage development. We are seeking a talented and highly motivated Senior Associate Scientist with expertise in Analytical Chemistry/Biochemistry to join the BioProcess Analytics group in Framingham, MA. In this role, you will be a key contributor to a multidisciplinary team, driving analytical method development, optimization and routine testing to support R&D programs to meet project goals within established timelines. This position offers meaningful growth opportunities — from expanding technical expertise and assuming increasing project leadership responsibilities, to charting a pathway toward senior scientific or leadership roles within BioProcess Analytics and the broader BioAnalytics organization. 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 worldwide, supported by our diverse portfolio of medical device and diagnostic products. Together, we chase the miracles of science to improve people's lives.

Requirements

Bachelor’s degree in Analytical Chemistry, Biochemistry, Biology, Biotechnology, Bioengineering or a related discipline with 3–5 years of relevant experience, or master’s degree with 1–3 years of relevant experience in research laboratory or biopharma/biotech company (co-ops experience in biopharma/biotech is acceptable)
Hand-on experience with one or more separation science techniques for protein characterization, including UPLC/HPLC, LC/MS, cIEF.
Proficiency with data processing software such as Empower, Chromeleon, MassLynx, or OpenLab.
Demonstrated ability to independently manage multiple concurrent projects across varied analytical testing platforms.

Nice To Haves

Strong background in LC-MS/MS techniques for protein post-translational modification (PTM) identification and quantitation, glycan analysis and metabolites analysis (amino acids and vitamins), with proficient instrumental operation and troubleshooting skills on Waters or Thermo instrumentation.
Experience in operating automated, high throughput lab instruments (e.g. Agilent Bravo, Hamilton liquid handling systems).
Experience with impurity-based assays including ELISA and qPCR.
Prior experience executing assays in a GLP/GxP-regulated pharmaceutical or biotechnology setting.
Familiarity with iLab Solutions for laboratory data and resource management.
Detail-oriented and well-organized, with strong time management skills and the ability to prioritize effectively in a fast-paced environment.
Ability to communicate complex technical findings clearly and concisely to diverse scientific audiences.
Collaborative team player with a proactive approach to problem-solving and a commitment to scientific rigor.

Responsibilities

Drive method development and innovation by supporting the development of cutting-edge analytical method platforms, including HPLC/UPLC, LC-MS, cIEF and binding assays.
Deliver independent analytical testing supports a variety of testing platforms in a non-GMP setting, directly enabling R&D Biologics Development programs.
Manage and execute projects with minimal supervision, including planning work assignments, analyzing and interpreting test results, and conducting troubleshooting to ensure high productivity and on-time delivery.
Communicate scientific finding effectively by drafting technical reports, study protocols, and result summaries, and presenting progress clearly to cross-functional team members.
Leverage digital and AI-powered tools to enhance data analysis workflows and accelerate analytical method development.
Foster cross-functional collaboration by maintaining strong communication with internal colleagues across multiple concurrent projects.