Unique interdisciplinary fellowship training opportunities in Pharm-X (pharmacoepidemiology, pharmaceutical health services research, pharmaceutical policy, drug utilization research, and related fields) at Brown University for PhDs, PharmDs, MDs/DOs, and others. The position requirements for a post-doctoral fellowship are: MD or PharmD and continuation of basic clinical training, or PhD in public health, health services research, health policy, pharmacy administration, sociology, epidemiology, health outcomes research, economics, data science or related fields. Physicians (MD or DO) or pharmacists (PharmD) seeking a post-doctoral appointment may opt to pursue a Master's degree in Translational Research or a Master of Public Health (MPH) degree. Post-doctoral fellows are integrated into on-going externally funded research in one or more substantive areas, including pharmacoepidemiology, pharmaceutical policy, chronic disease management, long-term and post-acute care, community-based systems of care, health care organizations and methodological approaches to comparative effectiveness research.

Term of appointment is for one or two years, renewable contingent upon funding.

Screening for post-doctoral positions will continue until all successful candidates have been identified or the search is closed. Brown University is an equal opportunity/affirmative action employer. Must be a U.S. citizen or permanent resident to apply.

• MD/DO or PharmD and continuation of basic clinical training, or PhD in public health, health services research, health policy, pharmacy administration, sociology, epidemiology, health outcomes research, economics, data science or related fields.
• Experience or interest in Pharm-X (pharmacoepidemiology, pharmaceutical health services research, pharmaceutical policy, drug utilization research, and other fields related to medications), aging, gerontology, comparative effectiveness/safety research, biostatistics, causal inference, or related research areas
• Experience or interest in learning to use diverse linked datasets, including clinical trial, administrative, electronic medical record, medication administration record, patient-reported survey, and other data
• Experience or interest in learning to use R, Stata, SAS, SQL, Python, or a related programming language
• Applicants must be U.S. citizens or permanent residents.

Interested individuals who have completed a PhD or physicians and pharmacists who have completed some clinical training (preferably a residency and, if appropriate, clinical fellowship) are invited to apply. Once applications have been reviewed by the faculty, a select group of candidates is invited for an interview. An invitation is based on a candidate's demonstrated academic ability, depth of commitment to research in Pharm-X, and compatibility of research interests with ongoing projects at the Center.

Invited candidates spend an entire day at the Center, give a research presentation, interview with the faculty who comprise the Evaluation and Review Committee, and meet the current postdoctoral fellows. The program director and the faculty review written evaluations by faculty and fellows, as well as information provided through informal discussions.

Applicants are required to upload the following into Interfolio:

• an essay (500 to 1000 words) describing your career plans in the area of health services, Pharm-X, or related research. Include any particular research interests and experience
• a curriculum vitae
• three current references; provide each individual's name, relation to candidate, e-mail, and telephone number
• a copy of your best written academic work (publication), preferably a first-author manuscript

Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers qualified applicants for employment without regard to, and does not discriminate on the basis of, gender, race, color, national origin, sexual orientation, religion, protected veteran status, disability, or any other legally protected status.