Sanofi

Biologics Research

PrincipalScientistI,AntibodyEngineering

$750–1200k ~AI est. Suzhou, China FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Biologics Research
Problems you'll solve

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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