Sr. Scientist, AI/ML Biologics
Core
Develop and deploy AI/ML models for antibody design, discovery, and multi-parameter optimization of biologics to advance drug candidates from discovery to clinical development.
Role type
Senior Scientist, AI/ML for Biologics
Builds
Predictive models for protein design and developability; automated tools for Design-Predict-Make-Confirm cycles; high-quality development candidates (antibodies, ADCs)
Domain
Biopharmaceuticals / Computational Biology / Machine Learning
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, large-scale biological dataset management
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; Build tools to incorporate data from automated experimental platforms; Innovate predictive models for protein design utilizing large-scale NGS and proprietary data; Manage and process large-scale biological datasets for model training; Collaborate with biology and protein engineering teams to drive programs toward candidate selection
Seniority
Senior, hands-on IC
