Scientist II/Senior Scientist I, Computational Toxicology
Core
Hybrid scientist designing and executing in vitro toxicology assays while building computational models to predict drug safety and interpret biological mechanisms.
Role type
Senior IC computational toxicology scientist (hybrid wet-lab and data science)
Builds
Predictive safety models, analytical pipelines, and decision-support tools for drug safety assessment
Domain
Life sciences / Computational toxicology / Drug safety
Deliverable
production ML models | product features
Required skills
in vitro assay design and execution, toxicology and pharmacology domain expertise, Python or R programming, statistical and machine learning methods, cross-functional scientific leadership, experimental data interpretation
Preferred skills
New Approach Methodologies (NAMs) experience, organ-on-chip and organoid expertise, multimodal dataset integration, cloud computing, modern AI and generative AI applications, scientific visualization tool development
Technologies
Python, R, high-content imaging, flow cytometry, ELISA, organ-on-chip, organoids, cloud computing platforms
Responsibilities
Design and optimize in vitro toxicology assays; develop predictive models leveraging wet-lab and historical data; translate biological challenges into integrated experimental and computational strategies; lead cross-functional initiatives from concept to implementation; communicate scientific insights to diverse stakeholders
Seniority
Senior, hands-on IC with scientific leadership
