Remote Quantitative Research Scholar: Causal Inference

Stanford University; Northern (KY); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Stanford University's Division of Primary Care and Population Health seeks a research scholar to lead quantitative analyses using large health datasets. You will publish in high-impact journals and guide graduate students in rigorous econometric methods.

We welcome candidates with expertise in quasi-experimental designs (RDD, DiD, ITS) and a background in health research. The position offers a remote-eligible arrangement with an initial 1-year term that may be renewed based on needs.

Qualifications

• PhD or doctoral-level training with quantitative methods.
• Experience with quasi-experimental techniques (RDD, DiD, ITS).
• Health research background is a plus but not required.

Responsibilities

• Perform data analyses.
• Supervise analyses led by students and postdocs.
• Publish manuscripts in peer-reviewed journals.
• Mentor junior researchers.
• Assist with grant writing and funding applications.
• Communicate with funders, data providers, and staff.

Skills

Analytical skills

Writing skills

Prioritizing workload

Education

Doctoral degree in quantitative field

Tools

R

Stata

Job description

Stanford University's Division of Primary Care and Population Health seeks a research scholar to lead quantitative analyses using large health datasets. You will publish in high-impact journals and guide graduate students in rigorous econometric methods.

We welcome candidates with expertise in quasi-experimental designs (RDD, DiD, ITS) and a background in health research. The position offers a remote-eligible arrangement with an initial 1-year term that may be renewed based on needs.