Senior Principal Scientist , Lab Head, Protein Engineering

Senior Principal Scientist I, Lab Head, Protein Engineering

Location:

Cambridge, MA

As Senior Principal Scientist I, Lab Head, Protein Engineering within our R&D team, you will lead a multidisciplinary team within the Protein Engineering group at our Cambridge Crossing research site. You will collaborate closely with two complementary labs within the group — Structural Biology & Protein Design and Develop ability & Analytics — to advance our protein engineering capabilities and drive innovation across the group.

This leadership position offers a unique opportunity to shape the future of biologics engineering by combining deep experimental expertise with computational protein design, AI-enabled engineering, automation, and data-driven discovery. You will lead innovative antibody engineering strategies across diverse therapeutic modalities while working closely with other global LMR sites and LMR Digital Biologics. As Lab Head, you will help drive the evolution of Sanofi's next‑generation antibody engineering platforms by integrating structure‑guided design, high‑throughput experimental technologies, protein language models, computational modeling, and AI/ML-enabled engineering approaches into biologics discovery workflows.

You will represent Protein Engineering on multidisciplinary project teams, provide scientific leadership from early discovery through lead optimization, and contribute to the strategic direction of global engineering capabilities across LMR.

• Lead protein engineering strategies for the design and optimization of multispecific antibodies, Fc‑engineered molecules, fusion proteins, and other next‑generation biologic modalities using experimental and computational approaches.
• Design and execute antibody engineering campaigns including affinity maturation, molecular format engineering, develop ability optimization, and functional optimization through structure‑guided, computational, and data‑driven design.
• Develop and continuously improve protein engineering platforms utilizing yeast and/or phage display, high‑throughput screening, saturation mutagenesis, in silico‑guided library design, linear expression cassette (LEC) workflows and automation.
• Partner closely with LMR Digital Biologics and the global Protein Engineering community to integrate computational modeling, protein language models, machine learning, generative AI approaches, and experimental validation into engineering strategies.
• Identify and implement innovative technologies that enhance engineering efficiency, data quality, and scientific decision‑making across biologics discovery.
• Serve as the Protein Engineering representative on cross‑functional project teams, collaborating with Therapeutic Areas and partner functions to define engineering strategies, coordinate project activities, and support milestone progression.
• Lead, mentor, and develop a high‑performing team of 5 scientists, fostering scientific excellence, innovation, collaboration, and continuous learning.
• Contribute to global LMR Antibody Engineering initiatives by establishing best practices, sharing technologies across research sites, developing platform capabilities, and driving scientific innovation throughout the organization.
• Communicate scientific discoveries through presentations, publications, patents, and external scientific engagement.

• Ph.D. in Biochemistry, Molecular Biology, Biomedical Sciences, Bioengineering, Structural Biology, or a related discipline.
• 9+ years of industry experience in biotechnology or pharmaceutical research.
• Demonstrated scientific leadership in antibody and protein engineering, including multispecific antibodies, Fc engineering, affinity maturation, and molecular optimization.
• Extensive experience with yeast and/or phage display technologies, antibody library design and construction, high‑throughput screening, protein expression, purification, protein‑protein interaction measurement, and biophysical characterization.
• Strong understanding of protein structure‑function relationships and engineering strategies to optimize affinity, specificity, biological activity, develop ability, and…