The American Board of Family Medicine’s (ABFM) research department investigates a broad range of issues relating to family medicine and its place in the health care system. We use survey data from our members, electronic health records collected from a diverse, nationwide set of primary care practices, and linked data ranging from spatial data from the US Census to commercial claims to climate data. We are seeking a curious and resourceful Data Analyst to help us dig deeper in these data and to make new discoveries.

Description:

The Data Analyst will work with a small and diverse mixed methods research team under the direction of the Vice President of Research of the ABFM. The successful candidate will assist with the development of statistical analyses, data resources, and publications. Opportunities to publish and present work will be plentiful.

Responsibilities:

Responsibilities include analyzing and maintaining large data sets. Opportunity for occasional travel to work with partner organizations and to present research at national conferences. May provide technical support to internal and external collaborators.

Qualifications:

· Curiosity, creativity, and a drive to improve the healthcare system.

· Master’s degree in a quantitative field (public health, epidemiology, biostatistics, health services research or related fields preferred).

· Basic familiarity with SQL, R, and Python (with substantial expertise in either R or Python).

· Prior research experience in large data analysis (such as Medicare or claims data) preferred.

· Prior experience with natural language processing preferred.

The ABFM has offices in Lexington, KY and Washington, DC. Work is hybrid, but some weekly work in the office in-person is required for the purposes of building strong team chemistry across shared projects. Interested Applicants should send a current CV. A cover letter, link to your programming portfolio or Github page are also welcomed.

American Board of Family Medicine

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