At the Arnhold Institute, we seek to drive the next generation of Global Health impact through data-driven and open innovation. One of our core research goals is to discover the factors and their interactions that affect a person’s health outside the presence and absence of disease. We are seeking a probabilistic graphical models expert to model complex interactions between heterogeneous datasets (categorical, real-valued, unstructured text, etc.) Specifically, we are interested in modeling the interactions between large-scale “Big Data” (e.g. high-dimensional, regularly sampled, large sample sizes etc.) and small data (e.g. low dimensional, irregularly sampled, small sample sizes, etc.) Our ability to model and conduct inference on these complex interactions has the potential to be one of the greatest health-related discoveries.
Health equity is one of the greatest challenges of our times. We believe that access to quality healthcare for people and communities is a fundamental human right. The data science and product teams develop technologies to close the health inequity gap in the US and globally. Besides our mission, there are several reasons to consider joining us:
The opportunity to build a transformative effort from the ground up and leave a legacy for those that will f