Principal Data Scientist, AI-assisted Clinical Development

What you'll do

• Lead the development of advanced statistical and machine learning methods for clinical development tools.
• Design and productize simulation studies to evaluate innovative trial designs and statistical frameworks.
• Translate complex scientific requirements into software specifications for model development and validation.
• Develop scalable, reproducible pipelines for data processing, model training, and deployment in regulated environments.
• Optimize model performance while ensuring algorithmic fairness and mitigating bias or drift in deployed systems.
• Co-lead the architectural design of ML and GenAI systems to ensure traceability, compliance, and explainability.
• Partner with engineering and UX teams to integrate predictive models into real-world user applications.
• Publish and present novel methodologies in high-impact internal and external scientific venues.

What we're looking for

• Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Bioinformatics, or a related field.
• 6+ years of experience applying advanced statistical and ML techniques in biomedical, clinical, or digital health domains.
• Proven expertise in model development, simulation studies, and decision-support frameworks.
• Hands-on experience with Python or R and ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience building pipelines for training, evaluating, and deploying ML solutions in production environments.
• Demonstrated expertise with RWD, Bayesian methods, decision theory, high-dimensional data, or causal inference.
• Experience leading technical design or mentoring junior team members (preferred).
• Experience applying Agile software development practices, ideally for a product embedding statistical algorithms and/or GenAI (preferred).