Senior Data Scientist (AI-assisted Clinical Development)
Core
Building and deploying AI/ML-powered digital solutions to transform medicine development, specifically for evidence generation, trial design, and decision support.
Role type
Senior IC data scientist (AI/ML productization)
Builds
Scalable, ethical, and interpretable ML tools and pipelines for clinical development environments
Domain
Pharmaceutical R&D / Clinical Development / AI/ML
Deliverable
production ML models
Required skills
advanced statistical and machine learning methods, Python or R, experimental design, simulation, model performance evaluation, translating scientific questions to model architectures, version control, testing frameworks, RWD/RWE, decision analysis, clinical biomarkers, Bayesian inference, interpretable ML
Preferred skills
ML product pipelines and deployment, evidence synthesis models, Bayesian computing, probabilistic programming languages, generative AI tooling, agentic AI tooling, compliance standards (GxP, HIPAA)
Technologies
Python, R, scikit-learn, XGBoost, TensorFlow, Pytorch, Stan, PyMC, brms, git, CI/CD
Responsibilities
Apply advanced statistical and ML methods to support tool development for evidence generation and trial design; act as subject matter expert for simulation studies and comparative evaluations; collaborate with domain experts to translate scientific problems into data science workflows; build and maintain model development pipelines ensuring traceability and reproducibility; integrate models and algorithms into production applications; design compliant and interpretable ML product architectures; design documentation templates for modeling decisions and performance summaries
Seniority
Senior, hands-on IC
