Senior Associate Scientist Bioprocess Analytics

Sanofi•Framingham, MA

1d•Onsite

About The Position

As a Senior Associate Scientist within our CMC Bioproprocess Analytics team, you'll generate data-driven insights that advance process development and manufacturing readiness, helping accelerate discovery with AI-powered tools and collaborative science. Ready to get started? 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.

Requirements

Bachelor's degree in Chemistry, Biology, Biochemistry, Life Sciences, or a related scientific discipline
Minimum 3 years of experience in biotechnology, pharmaceutical, or related laboratory environment
Academic or research experience will be considered.

Nice To Haves

Hands-on experience with high-throughput assays, laboratory automation platforms (e.g., Tecan, Hamilton), and analytical instrumentation
Demonstrated ability to design experiments, analyze data, and translate results into actionable scientific recommendations
Proficiency with digital and data visualization tools for data analysis (e.g., SoftMax or similar software)
Strong data analysis, problem-solving, and troubleshooting skills
Problem-solving and analytical thinking
Effective cross-functional collaboration skills
Strong communication skills (verbal and written)
Ability to work independently with guidance

Responsibilities

Design and perform experiments that generate critical insights for process development decisions.
Use automated laboratory systems and high-throughput assays to efficiently evaluate process performance.
Apply digital and AI-enabled tools to analyze data, uncover trends, and support scientific decision-making.
Drive continuous improvement of analytical methods, workflows, and laboratory technologies.
Partner with cross-functional teams to address development challenges and advance therapeutic programs.
Contribute technical expertise to the implementation of new automation and analytics capabilities.
Share findings and recommendations that influence development strategies and manufacturing readiness.