The Arnhold Institute seeks to reduce health inequities via innovative research and products. We have an opening for a causal inference postdoctoral scholar to combine machine learning and econometrics approaches to health data. The position will focus on the scholar's career development by developing and executing a rigorous research program and developing new collaborations across healthcare. We have access to very rich (and large) health datasets that can be a significant career development asset. While the program will depend on the candidate but we anticipate the position to require 50% research, 25% writing, 15% career development, and 10% travel.
Email the following documents to email@example.com with the title of the position in the email title (e.g. postdoctoral scholar, assistant professor, etc.)
About The Arnhold Institute for Global Health
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 follow in your footsteps.
Access to world-class designers, system engineers, and health scientists to drive high-impact interdisciplinary work.
Travel to global settings to work with and get to know amazing collaborators and cultures.
We are located in the historic NY Academy of Medicine right next to Central Park on Fifth Avenue. Many of our team members conduct walking meetings in the Park!
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