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
Compensation
Competitive salary and equity, pension, Keren Hishtalmut, travel, lunch stipend (Cibus)