Senior Scientist, Data (AI) Scientist, Translational Safety
Johnson & Johnson · Spring House, PA +5 more
ResearchFull-time$109k–$175kCompany career page
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Role summary
Senior Scientist position focused on developing AI and machine learning models for drug safety prediction across discovery, preclinical, clinical, and real-world evidence stages. The role involves building predictive capabilities to identify safety biomarkers and support evidence-based decision-making throughout the R&D lifecycle.
What they're looking for
- Ph.D. in computational biology, bioinformatics, biomedical informatics, computer science, statistics, or related quantitative discipline
- 2+ years post-PhD or 3–5 years relevant industry experience applying AI/ML in life sciences
- Track record in translational science, biomarker discovery, or drug-discovery safety applications
- Expertise with multimodal data integration and high-dimensional datasets from biological domains
- Strong knowledge of machine learning, deep learning, causal inference, and foundation model approaches
- Ability to communicate complex technical methods clearly to diverse scientific and non-technical audiences
What you'll be doing
- Design, build, validate, and deploy AI/ML solutions for translational safety prediction using multimodal data
- Develop predictive models and frameworks for biomarker identification, mechanistic inference, and clinical outcome prediction
- Integrate heterogeneous datasets across discovery, preclinical, clinical, and real-world evidence domains for safety insights
- Establish scientific validation through biological plausibility assessment, model benchmarking, and explainability documentation
- Collaborate with translational scientists, toxicology, clinical safety, and knowledge engineering teams to operationalize models
Privacy & handoff
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