Director

About this opportunity:

As the Senior Director of Real World Data (RWD), you will be accountable for defining, developing, and implementing our RWD strategy, platform, and data pipeline to transform diverse real-world datasets into regulatory-grade, research-ready assets that drive our clinical development, evidence generation, digital health products and product offerings. You will play a key role informing regulatory decisions, improving clinical trial efficiency, evaluating and implementing AI/agentic workflows to strengthen our RWD platform and help bridge the gap between clinical research and medical practice to improve patient outcomes and advance our vision of a world without disease.

The Senior Director will lead all informatics aspects of developing and maintaining a “regulatory-grade” RWD pipeline.  Specifically, the Senior Director will lead the RWD Informatics team in turning electronic health records (EHR), claims, imaging, and other RWD sources into research-ready datasets accessible by our biostatisticians,computational scientists and other end users while ensuring data quality, operational efficiency, and scalability.

These efforts will contribute to developing and commercializing a portfolio of early cancer detection products — based on both clinical and multiomics data — and digital health solutions that will enable payers, providers, and patients to catch cancers early when curative intervention is most achievable.

The role reports to the Chief Product Officer. This role will be a Remote role.

What you’ll do:

• Lead the operations and continuous improvement of our RWD curation pipeline, managing internal and external resources as needed. Evaluate and integrate agentic workflows and AI to ensure accuracy, augment the interpretability and quality, and drive efficiencies across our RWD efforts.  This includes:

  • Designing and implementing processes, analytical methods, and AI tools to integrate a variety of RWD sources.

  • Preparing data for analysis, including data cleaning and mapping.

  • Ensuring “regulatory-grade” data quality where required.

  • Developing a scalable unstructured data curation operation, leveraging automation as much as possible and only transiently leveraging manual techniques with a roadmap towards eliminating these steps as appropriate.

• Create a comprehensive, multi-year strategy for the acquisition, management, curation, and use of RWD to support regulatory submissions, clinical evidence generation, health economics and outcomes research (HEOR), and commercial efforts such as patient identification and care navigation.