EntityRisk's software enables healthcare innovators and payers to measure and manage uncertainty. EntityRisk was founded by three health economists— bringing together decades of academic and industry experience-- to unlock financial innovation in the way new medicines are brought to patients. EntityRisk is building a proprietary algorithmic library to better estimate individual benefits of treatment—through advanced modeling techniques and integrated clinical trial, genomic, and real-world data. Our growing, world-class team of economists, data scientists, software engineers, finance professionals and cutting-edge academic experts is building the tools needed to enable financial innovation in healthcare, some of which include: -Analysis of all current and potential surrogate measures and their connections to critical endpoints of value to patients and payers -Customized individual and subpopulation-level survival and treatment duration curves -Scenario planning for pipeline and inline assets -Proprietary event and cash flow forecasting and analytics for efficacy-linked instruments -Value modeling All of our models are specifically designed to identify risk characteristics and correlations across therapeutic interventions, enabling new value-based payment and performance guarantees.

Engineering and Information Technology

experience with machine learning, probabilistic statistical modeling, and computational simulation

Candidates should have strong engineering skills and good communication skills