Health Policy Researcher: Causal Inference & Health Data

RAND; Pittsburgh (Allegheny County); On-site; USD 111,000 - 212,000; Full time

Job summary

RAND is seeking Health Policy Researchers in its ESS department to design and conduct rigorous empirical studies on health care markets, coverage, and costs. You will apply advanced quantitative methods to large datasets, communicate results to policymakers, and mentor junior researchers in a collaborative, inclusive environment.

Ideal candidates hold a PhD and have experience leading externally funded projects, with strong English communication skills and a commitment to rigorous, objective

Qualifications

• Demonstrated training in quantitative research methods.
• Strong analytic skills and intellectual curiosity.
• Excellent verbal and written communication skills in English.
• Ability to work effectively as part of inclusive, multidisciplinary teams.
• Strong commitment to RAND's core values of quality and objectivity.

Responsibilities

• Design and execute rigorous empirical research studies addressing high-priority health policy questions.
• Apply causal inference and other advanced quantitative methods to large administrative and survey datasets.
• Use cutting edge technologies like AI/ML responsibly to improve quality and efficiency.
• Interpret and synthesize research results to support stakeholder and policymaker decision-making.
• Communicate findings to policy audiences through peer-reviewed publications, technical reports, and oral presentations.
• Contribute to business development efforts, including proposal writing and cultivating funder relationships.
• Mentor junior researchers and contribute to a collaborative, inclusive research environment.

Skills

Quantitative methods

Causal inference

Data analysis

Strong analytical skills

English communication

Education

PhD in economics or related field

Job description

RAND is seeking Health Policy Researchers in its ESS department to design and conduct rigorous empirical studies on health care markets, coverage, and costs. You will apply advanced quantitative methods to large datasets, communicate results to policymakers, and mentor junior researchers in a collaborative, inclusive environment.

Ideal candidates hold a PhD and have experience leading externally funded projects, with strong English communication skills and a commitment to rigorous, objective