Career Category
Research
Job Description
Senior Data Scientist - Protein Structure ML models
Role Summary
The Senior Data Scientist - Protein Structure ML models will play a critical role in advancing AI-enabled protein and antibody design across Large Molecule Discovery (LMD). This role will focus on building, adapting, and validating machine learning models that predict protein function from structure, with particular emphasis on antibodies and antibody-like molecules.
Working at the intersection of machine learning, structural biology, protein engineering, and experimental discovery, this individual will also develop workflows that combine structure prediction, structure generation, and inverse-folding models into practical protein design pipelines. The role will partner closely with wet-lab scientists to guide assay design, generate high-value property data, and translate internal and externally available datasets into rigorous validation strategies.




This role is ideal for someone who enjoys developing technically rigorous geometric ML methods while remaining deeply connected to experimental validation and real-world biologics discovery needs.
Key Responsibilities
Protein Structure to Function Modeling
Build machine learning models, either developed in-house from scratch or adapted from existing examples, to predict protein function from structure.
Focus model development on antibodies and antibody-like molecules, including formats that require structure-aware modeling approaches for downstream property prediction.
Use internal and externally available structural, sequence, binding, and property datasets to evaluate and improve model performance.
Antibody Binding Model Validation
Design, own, and maintain validation tasks for assessing antibody binding models across internal and externally available datasets.
Establish well-curated benchmarks that support quality control, model comparison, and responsible onboarding of external / open-source ML models.
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📌 Senior Data Scientist (Hyderabad)
🏢 AMGEN
📍 Hyderabad