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

• Design, develop, and implement prediction algorithms in the healthcare space 
• Own the full development lifecycle, from experimentation to deployment, maintenance, and production monitoring. 
• Contribute to a fast-growing, innovative startup, shaping the future of our technology and products

About you

• You are highly motivated and excited to work at an early-stage company
• 5+ years as an algorithm engineer/backend developer/data scientist 
• Experience with production-level code and data science libraries (numpy, pandas, seaborn …) 
• Experience with classic ML algorithms (tree-based, regressions, SVM etc.)
• Strong experience building new products, with an ability to quickly translate ideas into working solutions