Remote Health Data Research Scholar: Causal Inference

Abundance Network; United States; Remote; USD 90,000 - 140,000; Full time

Job summary

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.

Qualifications

• Doctoral degree with quantitative training or research experience.
• Training and experience in quasi-experimental techniques (regression discontinuity, difference-in-differences, interrupted time-series, etc.).
• A background in health-related research is a plus but not required

Responsibilities

• Carrying out data analyses
• Supervising data analyses led by graduate students and postdoctoral fellows
• Writing manuscripts for publication in scientific journals
• Mentoring and advising junior researchers
• Assisting with, and leading the writing of, grant applications for research funding
• Communicating with research funders, data providers, and project administrative staff

Skills

Strong coding skills in R

Strong coding skills in Stata

Education

Doctoral degree with quantitative training or research experience

Tools

R

Stata

Job description

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.