Remote Data Research Jobs in Rhode Island (NOW HIRING)

Job Description:

The Health Economics Research Analyst at the School of Public Health's Department of Health Services Policy & Practice joins a vibrant team supporting the activities of the Department and its research centers. The role is involved in health services and economics research to better understand and develop policies that will lower spending growth, improve patient outcomes, and drive structural change in U.S. health care delivery. Core topic areas include payment reform, long term care, the evolving landscape of Medicare and Medicare Advantage, commercial price growth, health care market structures including the impacts of consolidation and private equity ownership, and state efforts to address affordability and value.

The analyst will perform quantitative analyses for various center research projects. The analyst will use technical skills to help researchers design studies, construct databases, manage data, perform statistical programming and analysis, and interpret and report results. Much of the work will involve secondary data analysis of various administrative datasets including health care claims. The Health Economics Research Analyst will work collaboratively with faculty-led teams in a dynamic environment that encourages independent thinking, problem solving, and collegiality.

This position is Hybrid Eligible.

All offers of employment are contingent upon a criminal background check and education verification that are satisfactory to Brown University.

This is a fixed term position with a current end date of 06/30/2027 which may be extended based upon available funding.

Education and Experience

Bachelor's Degree and 0-3 years of experience or equivalent combination of education and experience. Degrees in economics, applied economics, or closely related quantitative fields are strongly preferred.

Required Qualifications:

• Hands-on experience implementing regression-based analyses using statistical software

• Training in econometrics and causal inference methods

• Experience working with large, complex datasets

• Strong attention to detail and ability to manage and validate data

• Ability to communicate technical results clearly in written and graphical form

• Experience working with administrative health care data (e.g., Medicare claims, commercial claims, or electronic health records)

• Prior experience as a research assistant or in a policy research environment

• Familiarity with the U.S. health care system and health policy topics

Benefits of Working at Brown:

Please review additional information on the Benefits of Working at Brown.

Recruiting Start Date:

Job Posting Title:

Department:

Grade:

Worker Type:

Worker Sub-Type:

Time Type:

Scheduled Weekly Hours:

Position Work Location:

Submission Guidelines:

The designated Position Work Location for each position determines the approved modality of work. Positions are classified based on the operational and business needs of the department and may be designated as on-site, hybrid, or remote.

Employees with a designated position work location as remote must reside and perform their work in a state where Brown University is registered to do business. Brown University is a registered employer in the following states: Rhode Island, California, Colorado, Connecticut, Florida, Maryland, Massachusetts, New York, New Hampshire, New Jersey, North Carolina, Washington, D.C.

Please note that to be considered for a staff position at Brown University, you must submit a separate application for each position you wish to be considered for. Applications are reviewed only for the specific position to which they are submitted and are not automatically considered for future openings.

This position is not eligible for visa sponsorship.

Still Have Questions?

If you have any questions you may contact employment@brown.edu.

Brown is an E-Verify Employer.

EEO Statement:

Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.