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
• Opportunity to establish and lead the data team as the company scales.

About you

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

About In-House Health

In-House Health is a seed-stage startup that aims to help address 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.