Principal RWD Biostatistician FSP

As a Principal Biostatistician, your responsibilities will include:

• Lead and contribute to advanced real-world evidence (RWE) analyses using large-scale real-world data (RWD) to support clinical development, regulatory strategy, HEOR, and payer decision-making.
• Design observational studies and target trial emulations leveraging diverse data sources including EHR (Electronic Health Record), claims, registries, genomics, and digital health data.
• Apply modern causal inference and statistical learning methods (e.g., propensity score techniques, inverse probability weighting, survival and longitudinal models, representation learning) to address confounding, bias, and missing data.
• Develop and deploy machine learning pipelines for prediction, patient stratification, phenotyping, and NLP (Natural Language Processing) on structured and unstructured healthcare data.
• Integrate AI/ML outputs with traditional statistical frameworks to ensure interpretability, scientific rigor, and regulatory readiness.
• Build scalable, reproducible analytical workflows in Python and/or R, following best practices in software engineering, documentation, and quality control.
• Collaborate closely with clinical scientists, epidemiologists, data engineers, and HEOR partners to define fit-for-purpose analytical strategies.
• Translate complex quantitative results into actionable insights for technical and non-technical stakeholders.
• Contribute to governance readiness, regulatory submissions, audits, and scientific dissemination.
• Deliver high-quality analytical outputs within agreed timelines in a matrixed, global FSP environment.

Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have: