Senior Scientist, Machine Learning
Core
Building a novel platform technology for generative chemistry and molecular modeling to facilitate data generation for small molecule drug discovery.
Role type
Senior Scientist, Machine Learning (IC)
Builds
Generative chemistry models and molecular modeling tools for drug discovery
Domain
Biotechnology / Generative Chemistry / Molecular Modeling
Deliverable
production ML models
Required skills
Machine learning for molecular modeling, computational docking, training and fine-tuning molecular models, curating datasets, Python programming, HPC and cloud compute workflows
Preferred skills
Familiarity with SOTA models (Boltz-2, ESM-2, Chai-2), protein language modeling, protein structure prediction, binder prediction, protein design, protein engineering, small molecule pose prediction, deep structural understanding of proteins
Technologies
Python, Boltz-2, ESM-2, Chai-2
Responsibilities
Develop, train, validate, and apply novel generative chemistry and molecular models; curate training and benchmark datasets; optimize workflows and establish documentation practices; collaborate with wet lab teams; translate experimental data into insights
Seniority
Senior, hands-on IC
