Computational Biologist Principal Research Scientist II
Core
Establish and advance AI-enabled computational biology capabilities to predict, understand, and mitigate anti-drug antibody (ADA) responses and immune-mediated liabilities across biologics discovery and development.
Role type
Principal Research Scientist II (Scientific Leader & Hands-on IC)
Builds
Predictive models for immunogenicity risk, protein language models, structural modeling frameworks, and integrated multi-omics data pipelines.
Domain
Biopharmaceuticals / Computational Biology / AI for Drug Discovery
Deliverable
production ML models
Required skills
Machine learning, protein language models, structural modeling, systems immunology, multi-omics integration, Python, PyTorch, TensorFlow, cloud computing (AWS/Azure/Databricks), people leadership, scientific strategy
Preferred skills
Immunogenicity risk assessment, FDA/EMA guidance experience, converting prototypes to tools, publication record
Technologies
PyTorch, TensorFlow, scikit-learn, XGBoost, AWS, Azure, Databricks, Snowflake
Responsibilities
Define scientific strategy for computational immunogenicity; lead development of predictive models for ADA incidence and T-cell epitope content; integrate transcriptomic, proteomic, and clinical datasets; manage and mentor a team of computational scientists; communicate complex scientific concepts to senior leadership and cross-functional teams.
Seniority
Principal, strategic leadership with hands-on technical execution
