We’re building a platform that makes it delightfully simple for people to find, book, and afford care across virtual and in-person visits, prescriptions, labs, imaging, and more.
As a Marketplace Scientist at General Medicine, you’ll work directly with our Chief Economist to design the algorithms, mechanisms, and models that underpin the matching, pricing, and insurance estimation systems at the heart of the business. From understanding patient preferences to forecasting prices across complex insurance networks, your work will determine how the marketplace functions and scales.
For our Marketplace Scientist, we are looking for a strong quantitative background specifically applied to pricing, financial data or risk assessment. We are looking for someone who can fluidly turn quantitative insight into actionable shifts in pricing and payment.
Qualifications
Application to economics (behavioral economics, pricing models, game theory) or financial data is more important than data engineering/coding experience
Need strong SQL at minimum, ideally experience with python/R for stats
Best degrees are math/physics, economics, statistics, CS is fine only if the Econ exposure is there
Top-tier quantitative program or strong financial services background (fintech is good too)
Responsibilities
Use statistical methods in order to evaluate ML models as they apply to a dynamic marketplace
Design concrete incentives and comp structures to improve marketplace efficiency
Work across teams to improve operational processes based on data findings
Scale tools used to conduct experiments and measure ROI
This is a hybrid role in either SF or Boston (Cambridge).
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What We Do
General Medicine is a healthcare store. We make it delightfully simple to get the best healthcare in the world, with fast access and upfront pricing.
