Grad Co-op — Computational Safety Modeling for Small Molecules
Core
Develop computational models to assess the safety of small molecule drug candidates by integrating experimental data and predictive approaches.
Role type
Graduate co-op computational safety modeler
Builds
Predictive safety models and reproducible computational workflows for drug discovery
Domain
Biotechnology / Computational Toxicology
Deliverable
production ML models
Required skills
Python, statistical modeling, machine learning principles, data curation, model evaluation, version control
Preferred skills
Cheminformatics, bioinformatics, computational chemistry, predictive toxicology, small molecule drug discovery, in vitro assay analysis
Responsibilities
Identify and curate chemical structures, assay results, and exposure data; Develop and evaluate structural alerts, read-across, and ML models; Evaluate model performance and document uncertainty; Collaborate with scientists to guide compound prioritization; Present reproducible analyses and model prototypes.
Seniority
Graduate student (Master's/PhD/PharmD/MBA), part-time
