2027 Summer Intern - Translational Safety (Computational Toxicology)
Core
Build predictive toxicology models to evaluate how well in vitro screening assays predict human clinical adverse drug reactions (ADRs) using machine learning and statistical frameworks.
Role type
Summer intern, computational toxicologist (predictive modeling)
Builds
Translational safety data platforms and predictive ML models for early drug safety assessment
Domain
Pharmaceutical R&D / Computational Toxicology
Deliverable
production ML models
Required skills
R programming (tidyverse, data wrangling, statistical analysis), toxicology fundamentals, in vitro/in vivo study design, machine learning (classification, regression, clustering), data curation and harmonization
Preferred skills
Public toxicology database familiarity (ToxCast/Tox21, ChEMBL, PubChem), preclinical/clinical trial documentation review, assay concordance evaluation
Technologies
R, tidyverse, internal discovery databases, public bioactivity datasets
Responsibilities
Ingest and standardize internal in vitro and clinical safety data; Develop and evaluate ML models to correlate in vitro profiles with clinical ADRs; Perform gap analyses on screening battery sensitivity; Synthesize findings to guide future assay development
Seniority
Intern (12-week full-time program)