Senior Research Scientist I/II, Computational Biology & Toxicology
Core
Design, build, and deploy data-driven computational solutions to predict drug safety and understand mechanisms across small molecules, biologics, and emerging modalities by integrating diverse biological and clinical datasets.
Role type
Senior IC computational toxicologist and scientific translator
Builds
Predictive models, analytical tools, and user-friendly applications for drug discovery and preclinical safety
Domain
Computational biology, toxicology, and drug development
Deliverable
production ML models | product features
Required skills
Biological domain expertise (biology, pharmacology, biochemistry), Python or R scientific coding, machine learning (deep learning, clustering, classification), statistical analysis (Bayesian inference, regression), data curation and harmonization, communication of technical results to non-technical scientists
Preferred skills
Pathology and safety dataset experience, wet lab experience, scalable computing and cloud platforms, generative AI or LLMs in scientific contexts, data visualization and interface development
Technologies
Python, R, machine learning frameworks, cloud platforms, database systems
Responsibilities
Translate computational findings into predictive models and tools for decision-making; co-design scalable workflows with research scientists; curate and integrate multi-modal datasets; validate ML/AI strategies for safety questions; communicate methods and results to multidisciplinary stakeholders
Seniority
Senior, hands-on IC with strategic alignment
