Remote Health Data Scientist: Causal Inference & Research

School of Medicine seeks a researcher to join the Pascal Geldsetzer group, focusing on econometric analyses of large public datasets. The role is remote eligible and emphasizes causal inference using quasi-experimental methods.

Responsibilities include carrying out data analyses, mentoring students, publishing in high-impact journals, and assisting with grant writing, while collaborating with funders and data providers in a diverse health research environment.

We are looking to fill the Remote Health Data Scientist:
Causal Inference & Research position at School of Medicine in United States.

We aim to respond to suitable candidates as soon as possible.

Full responsibilities and requirements are described in the listing above.

Learn more about the Remote Health Data Scientist:
Causal Inference & Research role in the description above.

We appreciate your interest in this position.