Post-Doctoral Fellowship in Data and Implementation Science

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Post-Doctoral Fellowship in Data and Implementation Science

Post-doctoral fellowship in pharmaco-economics, data, and implementation science available starting immediately at the University of Maryland, Baltimore, School of Pharmacy, in the Department of Pharmaceutical Health Services Research. The fellowship provides multidisciplinary, advanced training to researchers and prepares fellows for pharmaco-economics, data, and implementation science positions in academia, government, and the consulting, pharmaceutical, and insurance industries.

Fellows will engage in implementation science research, analyses of large claims and electronic health record data sets, pharmacy data, social determinants of health, for epidemiologic and pharmacoeconomic studies, and comparative effectiveness research, with activities funded by the FDA, MDH, BHA, SAMHSA, AHRQ, PCORI, NIH, foundations, and private corporations.

Training includes mentored research, grant-writing, publication, presentation, and teaching experiences; it may also include coursework. This position involves working closely with on-campus and external partners.

Brief Description

OrganizationUniversity of Maryland School of Pharmacy
Education LevelFellowship
SubjectsEconomics, Bioinformatics, Biostatistics, Epidemiology
AmountSalary
Access ModeOnline
Number of AwardsNA
CityAny
NationalityDomestic
CountryUSA
Contest DeadlineOpen
Application FeesNA
RequirementsFellowship application

Who is Eligible?

A doctoral degree in Economics, Bioinformatics, Biostatistics, Epidemiology, Health Services Research, or related quantitative analytical field is required. Excellent communication, teamwork, collaboration, organizational, and time-management skills are essential. Research grant writing experience and a publication track record are highly desired.

Postdoctoral fellowship(2)

Preferred Qualifications

Expertise in machine learning, deep learning, natural language processing, and other AI methods in health and life sciences datasets
Expertise in advanced computational methods such as network analysis, graph databases, and structured and unstructured data mining tools. Knowledge of SAS, R, Python, and SQL, or data visualization software Knowledge of open/public/private databases, including but not limited to clinical trials and drug databases. The University of Maryland is an equal opportunity employer.

Benefit

Fellows receive benefits and a competitive salary.

How to Apply?

Applicants should submit by email to Data2Action@rx.umaryland.edu a letter of interest, a CV, and the name, affiliation, address, email, and phone numbers of two references.

Review of applications starts immediately and is on a rolling basis. Finalist interviews will take place following telephone screening interviews.

Application Deadline

Fellowship applications are now open.

Apply Now

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