Principal RWE Biostatistician FSP

As an RWE Biostatistician, your responsibilities will include:

• Lead and support advanced RWE analyses using large-scale RWD to inform clinical development, regulatory strategy, HEOR, and payer decisions. 
•  Review statistical analysis plans and provide input for observational studies and target trial emulations using diverse data sources, including EHRs, claims, registries, genomics, and digital health data. 
• Apply causal inference and statistical learning methods, such as propensity scores, inverse probability weighting, survival and longitudinal models, and representation learning, to address confounding, bias, and missing data. 
• Develop and implement machine learning pipelines for prediction, patient stratification, phenotyping, and NLP using structured and unstructured healthcare data. 
• Combine AI/ML outputs with traditional statistical approaches to support interpretability, scientific rigor, and regulatory readiness. 
• Build scalable, reproducible analytical workflows in Python and/or R, applying best practices in software engineering, documentation, and quality control. 
• Collaborate with clinical scientists, epidemiologists, data engineers, and HEOR partners to define fit-for-purpose analytical strategies. 
• Translate complex quantitative findings into actionable insights for technical and non-technical stakeholders. 
• Support governance readiness, regulatory submissions, audits, and scientific dissemination. 
• Deliver high-quality analytical outputs on agreed timelines within a global, matrixed 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: