Sanofi
Biologics Research
PrincipalScientistI,AntibodyEngineering
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“Principal Scientist I, Antibody Engineering at Sanofi. Skills: Antibody Engineering, AI/ML Antibody Optimization, Protein Science, Developability Optimization. Execute antibody optimization. Perform liability engineering”
What You'll Achieve.
Advance antibody engineering capabilities; Deliver next generation therapeutic molecules
Industry & Context.
Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
5+ years antibody engineering experience, Ph.D. in Biochemistry, Protein Engineering, Immunology, Biophysics, Computational Biology, or related discipline, Hands-on experience in liability engineering, Demonstrated expertise in antibody humanization, Direct experience in biophysical characterization, Familiarity with antibody expression systems, Hands-on experience using ProteinMPNN, RFdiffusion, ESMFold, AlphaFold2/3, Rosetta/PyRosetta, AbMPNN, or similar, Practical experience applying ML models for antibody property prediction, Ability to independently run computational workflows, Working knowledge of Python or equivalent scripting
Nice to Have
Demonstrated track record of successfully advancing antibody candidates, Demonstrated expertise in antibody humanization experimental validation, Familiarity with generative AI approaches, Experience with fine-tuning or adapting pre-trained models, Mandarin proficiency is an advantage
What You'll Do.
Execute antibody optimization
Perform liability engineering
Identify deamidation hotspots
Identify oxidation hotspots
Identify isomerization hotspots
Identify aggregation hotspots
Lead affinity maturation campaigns
Execute antibody humanization strategies
Drive developability optimization
Address viscosity liabilities
Address solubility liabilities
Address thermal stability liabilities
Address polyspecificity liabilities
Serve as internal champion for AI-driven antibody optimization
Integrate computational design into engineering workflows
Coordinate with AI/ML CROs
Design computational optimization campaigns
Execute computational optimization campaigns
Define project scopes
Define success criteria
Evaluate external AI/ML platforms
Select external AI/ML platforms
Translate computational sequence proposals
Design wet-lab validation experiments
Represent antibody engineering expertise
Provide scientific guidance
Shape program strategy
Accelerate candidate progression
Partner with discovery teams
Partner with structural biology teams
Partner with CMC teams
Partner with clinical teams
Align engineering strategies
Drive developability risk assessments
Contribute to IND-enabling activities
Champion new technologies
Foster scientific curiosity
Foster continuous improvement
Identify emerging technologies
Evaluate emerging technologies
Mentor junior scientists
How You'll Work.
Team & Collaboration
Multidisciplinary project teams; Cross-functional teams; External AI/ML CROs; Technology vendors; Discovery teams; Structural biology teams; CMC teams; Clinical teams
Communication Scope
Translate scientific data; Clear insights; Actionable insights
Full Job Description
**Job Title: Principal Scientist I, Antibody Engineering** Location: Suzhou, China **Position Summary** We are seeking an exceptional Principal Scientist, Antibody Engineering to join our Biologics Research team in Suzhou. This is a hands-on bench scientist role for a deep technical expert who thrives at the interface of classical antibody engineering and cutting-edge computational approaches. You will lead and execute the engineering of therapeutic antibody candidates — from liability removal and humanization through affinity maturation and developability optimization — while actively applying AI/ML-based tools to accelerate and enhance every stage of the antibody optimization cycle. This position is not primarily managerial. We are looking for a scientist who is equally comfortable overseeing protein science, interpreting developability findings, and deploying a structure-based generative AI model to design next-generation antibody variants. You will be a cornerstone of our antibody engineering capability, driving scientific excellence and platform innovation in a collaborative, fast-paced R&D environment. \--- **Key Responsibilities** **1\. Hands-On Antibody Engineering & Optimization** Execute the full spectrum of antibody optimization with direct bench involvement, from early liability identification through final candidate selection. Perform liability engineering to identify and resolve deamidation, oxidation, isomerization, and aggregation hotspots Lead affinity maturation campaigns using phage display, yeast display, or other directed evolution platforms Execute antibody humanization strategies including CDR grafting, framework selection, and back-mutation analysis Drive developability optimization through biophysical profiling — addressing viscosity, solubility, thermal stability, and polyspecificity liabilities **2\. AI-Aided Protein Optimization & External Partner Collaboration** Serve as the internal champion for AI-driven antibody optimization, working
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