Medical Director

About this role

Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem. We’re looking for a Medical Director to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care? A note on level: We're open to candidates at the Associate Medical Director or Medical Director level depending on experience and scope of prior ownership in precision medicine.

What You'll Do Flatiron Health is looking for a data-and technology-oriented clinician with oncology subject matter expertise who is passionate about real-world evidence (RWE) accelerating progress against cancer. You will be part of the Global Research Oncology team that operates across the US, UK, Germany, and Japan. In this role you will collaborate with a cross-functional team of oncologists/clinicians, data scientists, epidemiologists, software engineers, product managers, account directors, and clinical data specialists to help develop, commercialize, and deliver our oncology research data and services leveraging a breadth of tools, including artificial intelligence.

You will serve as a core medical resource with a particular focus in precision medicine and cancer genomics. You will also help biopharma clients apply clinical and molecular use cases across the full R&D lifecycle—from early pipeline discovery through post-market clinical development. In addition you will: Clinical Oncology & Precision Medicine Expert: Serve as a core medical expert unblocking high-volume, custom data requests across oncologic diseases including rare tumor types and complex, multi-omic biomarker profiles.

Flexibly pivot across oncologic disease areas to scope, design, and clinically validate custom datasets and analyses for our biopharma partners. Translational Oncology & Discovery Partner: Partner with clients early in their R&D lifecycle to show how clinical-molecular datasets can fuel target discovery, characterize novel biomarker-defined cohorts, evaluate tumor biology, and guide combination therapy approaches. Help researchers validate preclinical hypotheses in real-world cohorts and explore clinical trial findings via reverse translation.