Teams at HealthLeap Inc.

Build and maintain HealthLeap's clinician-facing dashboard and backend services. Own features end-to-end, handle messy clinical data and explainability, implement feature flags and auth at scale, and ship production systems deployed in major hospitals.

Build and maintain backend systems processing millions of patient records daily to produce real-time risk scores. Develop data pipelines, feature engineering for ML, LLM-based clinical note parsing, and operate AWS/Kubernetes infrastructure with high concurrency, reliability, and uptime for hospital deployments.

Lead end-to-end clinical outcomes research using large EHR datasets: design observational and quasi-experimental studies, run causal inference analyses, interpret results, publish findings, and partner with clinicians, data science, and commercial teams to shape product and demonstrate impact.