Data Scientist San Francisco, CA About us Metriport is an open-source data intelligence platform that helps healthcare organizations access and exchange patient data in real-time. We integrate with all major US healthcare IT systems and tap into comprehensive medical data for 300+ million individuals. We've found product-market fit with multi-million ARR, 100+ customers (including Amazon, Color, and Strive Health), backing from top VCs, and years of runway. We're ready to scale. We're a tight-knit, high-performing team of mostly former founders (including two YC alumni). We're engineering-heavy, operate with minimal bureaucracy and high autonomy, and hire based on competence, not prestige. We push hard—founders work six days a week from our SF office—but give everyone freedom to craft their schedule. We measure output and we're committed to sustainable intensity. About you In a nutshell, we're looking for an analytics powerhouse who acts like a product owner. You aren't just a "dashboard builder"; you are the architect of our data ecosystem and the value we derive from it: You’re entrepreneurial-minded, with an olympian-level work ethic. You are obsessed with data integrity. If a metric is off by 1%, it keeps you up at night until you find the root cause. You believe that high-quality clinical data is the bedrock of excellent healthcare, and you’re excited to map complex patient records into structured, efficient warehouses for downstream use. You have a strong sense of ownership and the ability to lead cross-functional initiatives without hand-holding. You care more about the insights and the "so what?" than just the technical complexity of the query. When someone asks for a report by next week, you ask yourself "how can I build a self-service tool that answers this permanently by tomorrow?" You’re a hacker at heart, and you’re comfortable writing code to get the job done. What you'll be doing After quickly ramping up on our clinical data domain, your goal is to own the "brain" of Metriport. You will be the bridge between raw engineering output and actionable customer success. Specifically, day to day, this looks like:
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees