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Research Assistant; HPM - Health Economics

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: The Johns Hopkins University
Full Time position
Listed on 2025-12-15
Job specializations:
  • Healthcare
    Data Scientist
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 17.2 - 30.3 USD Hourly USD 17.20 30.30 HOUR
Job Description & How to Apply Below
Position: Research Assistant (HPM - Health Economics)

Research Assistant (HPM - Health Economics)

Join to apply for the Research Assistant (HPM - Health Economics) role at The Johns Hopkins University.

This two-year, full-time pre-doctoral position provides hands‑on experience in quantitative health policy research. The role supports faculty in the Department of Health Policy and Management, working across projects in the Center for Mental Health and Addiction Policy, the Hopkins Housing and Health Collaborative, and the Hopkins Business of Health Initiative. The position offers mentorship, coding experience, and opportunities to co‑author academic papers and prepare for PhD training.

We are seeking a Research Assistant who will oversee data collection, data organization, and/or data management or similar functions/tasks for research study(ies) in support of a PI or a research team.

Specific Duties & Responsibilities
  • Run routine and ad hoc reports.
  • Use standard tools and computer programs to review data.
  • Assist with data cleaning measures to ensure accuracy of data and preparation of tables.
  • Lead basic activities such as data collection and data entry.
  • May lead specific tasks and develop processes to ensure study activities occur effectively and efficiently.
  • May conduct literature searches to support faculty in research efforts.
  • May design and format papers/publications.
  • May assist PIs in writing summaries of papers for release as policy briefs or other channels.
  • Other duties as assigned.
Additional Responsibilities
  • Clean, organize, and analyze large administrative datasets (e.g., Medicaid, Medicare, commercial, and all-payer claims).
  • Develop and document reproducible code for data management, descriptive statistics, and regression analyses.
  • Construct analytic variables, merge data files, and maintain data dictionaries and code repositories.
  • Assist with manuscript development, abstracts, and conference presentations, support revisions and journal submissions.
  • Collaborate with faculty and analysts in interdisciplinary research teams and participate in code reviews.
Minimum Qualifications
  • Bachelor's Degree in a related field.
  • Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
Preferred Qualifications
  • Experience working with large administrative or health insurance claims datasets.
  • Basic SQL skills or experience using data on remote servers.
  • Proficiency in at least one statistical programming language (Stata, R, SAS, or Python).
  • Coursework in statistics or econometrics acceptable; strong quantitative and organizational skills.
Technical Skills & Expected Level Of Proficiency
  • Analytical Skills - Awareness
  • Attention to Detail - Awareness
  • Data Management and Analysis - Awareness
  • Formatting and Layout Proficiency - Awareness
  • Information Gathering - Awareness
  • Oral and Written Communications - Awareness
  • Organizational Skills - Awareness

Classified

Title:

Research Assistant. Role/Level/Range: ACRO
40/E/03/CD. Starting Salary Range: $17.20 – $30.30 HRLY (Commensurate w/exp.). Employee group:
Full Time.

Schedule:

Monday to Friday: 8:30am – 5:00pm. FLSA Status:
Non‑Exempt.

Location:

Hybrid/School of Public Health. Department name:
Health Economics. Personnel area:
School of Public Health.

Seniority level:
Internship.

Employment type:

Full‑time.

Job function:
Research, Analyst, and Information Technology. Industries:
Higher Education.

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