Freenome is a private biotech company focused on developing blood tests to detect cancer early and make screening accessible for everyone. Backed by a16z, GV and CRV.
About the role
Designing and implementing processes, analytical methods, and AI tools to integrate a variety of RWD sources.
What they're looking for
- Master’s or Ph.D. in Biostatistics, Epidemiology, Health Informatics, Computer Science, or a related quantitative field
- At least 12 years of progressive experience in clinical informatics, including experience with:
- Applying RWD to device, therapeutic and/or software product development
- RWD across multiple disease areas, including oncology
- At least 10 years of experience building and leading high-performing, multi-disciplinary teams
- Demonstrated success operating within a matrixed organization and proactively collaborating with teams of internal and external partners to guide product delivery from concept to completion
More about this role
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...
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