Backed by Accel.
About the role
How do you identify patients who could benefit from specialty care support within broad, imperfect healthcare datasets? How do you forecast treatment demand across populations where a small number of patients can drive substantial variation? How do you reliably estimate the savings and impact of a care model when claims arrive late, treatment patterns change, and the alternative course of care isn’t always directly observed? Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You’ve developed statistical or machine learning methods that informed real decisions or became part of operational workflows, and you’ve owned their validation and ongoing performance
- You’ve worked hands-on with large healthcare datasets, including claims or eligibility data, and understand their coding, timing, completeness, and interpretation challenges
- You’ve worked with functional leaders to define how outcomes and performance are measured, built a roadmap from their most important questions, and delivered the models, reporting, and quality controls that put it into use
- You’ve led data scientists or analysts, or built a substantial capability as an early technical hire, and want to remain close to the work
- You use AI tools effectively while maintaining independent judgment, reproducibility, and appropriate validation
More about this role
Leap is one of the fastest-growing benefits solutions and a category-defining pioneer in employer specialty pharmacy. We are reshaping how life-changing therapies are delivered and financed, ensuring patients get the treatment they need while employers finally get a fair deal.
Specialty drugs and infusions represent nearly 10% of all healthcare spend and are the fastest-growing cost category for employers. Leap tackles this challenge with a novel approach: eliminating hidden markups, expanding access to high-quality infusion providers, and bringing clarity and fairness to how therapies are priced and paid for.
We’re proud to partner with numerous Fortune 500 companies and leading TPAs. Each patient we serve creates immediate ROI: lower costs, improved access, and better care. Join us as we redefine what’s possible in specialty care.
How do you identify patients who could benefit from specialty care support within broad, imperfect healthcare datasets? How do you forecast treatment demand across populations where a small number of patients can drive substantial variation? How do you reliably estimate the savings and impact of a care model when claims arrive late, treatment patterns...
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