Remote Research Assistant, Health Policy & Drug Pricing

Johns Hopkins University

Baltimore (MD)

On-site

USD 23,694 - 41,741

Part time

14 days+

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Job summary

The Johns Hopkins University in Baltimore, MD is seeking a Research Assistant to support health policy research, data collection, and literature reviews for the Johns Hopkins Drug Access and Affordability Initiative. The role focuses on data management and policy-relevant analysis under the guidance of PIs and a research team.

Responsibilities include producing routine reports, assisting with data cleaning, and contributing to papers and policy briefs.

Qualifications

Bachelor's Degree in a related field required.
Masters Degree preferred for advanced research responsibilities.

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.
Support background research on specialty drugs, biologics, biosimilars, complex generics, PBM formularies, rebates, and prescription drug affordability.
Assist with identifying and organizing candidate drug pairs, including branded/generic and biologic/biosimilar products.
Support the development of data dictionaries, codebooks, and analytic files using plan sponsor and drug-level utilization and spending data.
Clean, harmonize, and analyze prescription drug spending, rebate, utilization, formulary, and cost-sharing data.
Conduct descriptive analyses comparing originator products with lower-cost generic or biosimilar alternatives.
Continue work on community benefit reports by using artificial intelligence to analyze the CHNA data submitted by hospitals.