Sr. Scientist, AI/ML Biologics
Core
Developing and deploying AI/ML models for antibody design, discovery, and multi-parameter optimization of biologics to advance drug candidates from discovery through clinical development.
Role type
Senior IC AI/ML scientist (biologics/antibody discovery)
Builds
Production ML models for protein design, de novo binder generation, and developability engineering
Domain
Biopharmaceuticals / Large molecule drug discovery
Deliverable
production ML models
Required skills
Machine learning for chemical/biological data, antibody/antigen sequence and structure modeling, Python programming, cloud computing, NGS-derived antibody repertoire analysis, predictive modeling for protein design
Preferred skills
Modern ML architectures (LLMs, diffusion models, flow-matching, Bayesian Optimization, GNNs), de novo binder design, molecular simulation and conformational analysis
Technologies
Python, cloud computing platforms, NGS data pipelines
Responsibilities
Develop state-of-the-art AI/ML methodologies for antibody design; Deploy algorithms for multi-parameter optimization of biologics; Build tools for integrated Design-Predict-Make-Confirm cycles; Manage large-scale biological datasets for model training; Collaborate with biology and protein engineering teams to drive programs to IND-enabling stages
Seniority
Senior, hands-on IC
