Remote Health Data Research Scholar: Causal Inference
Boise, Ada County, Idaho, 83701, USA
Listed on 2026-10-30
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Research/Development
Data Scientist, Research Analyst, Research Scientist, Research Assistant/Associate
Abundance Network in the United States seeks a research scholar to lead quantitative analyses within a large health data program. The role emphasizes causal inference using quasi-experimental designs and aims to publish in high-impact peer-reviewed journals.
Responsibilities include supervising students, writing manuscripts, mentoring junior researchers, and helping prepare grant proposals, with remote work eligibility and an initial 1-year fixed term.
We are seeking a motivated Remote Health Data Research Scholar:
Causal Inference to join Stanford Reglab in United States.
This is a strong position to take on the Remote Health Data Research Scholar:
Causal Inference role at Stanford Reglab.
As a Remote Health Data Research Scholar:
Causal Inference, you will play an important part at Stanford Reglab in United States.
We invite applications for the Remote Health Data Research Scholar:
Causal Inference position located in United States.
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