Scientist II/Senior Scientist I, Computational Toxicology

Role: Senior Scientist in Computational Toxicology, bridging laboratory toxicology and data science to enhance drug safety prediction across modalities including small molecules and biologics. Responsibilities: design and execute in vitro toxicology assays (e.g., cell viability, high-content imaging, organ-on-chip, 3D models), generate high-quality experimental data, develop analytical pipelines, predictive models, and decision-support tools integrating diverse datasets. Act as a scientific translator among toxicologists, pathologists, pharmacologists, and data scientists; lead multidisciplinary projects from experimental design to computational implementation; communicate findings to varied audiences. Requirements: PhD in Toxicology, Pharmacology, Cell Biology, Biochemistry, Computational Biology, or related; typically 8-10 years of experience depending on education level; hands-on expertise with in vitro assay design, troubleshooting, and data interpretation; proficiency in Python and/or R; experience with machine learning, AI, and multimodal data integration. Preferred: familiarity with NAMs like organ-on-chip, 3D models, cloud computing, large biological databases, and advanced AI methods including generative models. Focus on advancing drug safety assessments in early to late development stages; collaboration with cross-disciplinary teams; role may involve working in a hybrid or on-site setup with possible travel for scientific collaboration.