Principal Data Scientist, AI-assisted Clinical Development

What you'll do

• Develop and apply advanced statistical and machine learning methods for integration into clinical development tools.
• Design and productize simulation studies to evaluate innovative trial designs and statistical frameworks.
• Translate complex scientific requirements into technical specifications for software product development.
• Conduct exploratory analysis of clinical, biomarker, and operational data to build predictive models.
• Build scalable, reproducible pipelines for data processing, model training, and deployment in regulated environments.
• Optimize model performance while ensuring algorithmic fairness and mitigating bias in deployed systems.
• Lead the architectural design of ML and GenAI systems that ensure traceability and compliance.
• 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 machine learning libraries like 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.
• Ability to translate complex scientific questions into robust statistical models and software requirements.
• Excellent communication skills to explain complex technical concepts to both scientific and non-scientific partners.