Senior Data Scientist

About In-House Health In House Health is a seed-stage startup that aims to help the global healthcare crisis marked by severe staffing shortages and rising nurse burnout. In-House Health develops a cutting-edge platform that empowers nursing teams to self-manage with unprecedented flexibility. Our innovative solution leverages a predictive AI algorithm to optimize nurse shift assignments. In-House Health is backed by one of the largest VCs in the world, and the CEO is Ari Brenner, who previously founded a digital health company with a >$1B valuation. About the role We're looking for a Senior Data Scientist to build the prediction engine behind our staffing platform. You'll report directly to our VP R&D and work on real hospital data that directly shapes how nurses are scheduled. Census prediction: forecast how many patients each hospital unit will have, shift by shift, from hours to weeks ahead, using admissions, discharges, transfers, seasonality and hospital-specific patterns. Patient acuity: model how sick patients are and how much nursing care they need, based on clinical data such as vitals, diagnoses, orders and nursing assessments. Nursing workload: combine census and acuity into workload predictions that drive how nurse shifts are planned and assigned. Clinical data: work hands-on with EHR records and ADT feeds from hospitals: messy, incomplete and full of signal. Own models end to end , from exploration and validation to production and monitoring. About you You are highly motivated and excited to work at an early-stage company 5+ years as a data scientist, with models running in production Strong hands-on experience with time-series forecasting and classification models Strong Python and SQL An advantage is given to those with experience in healthcare or clinical data (EHR, ADT, HL7/FHIR) Show more Show less