Location: University of Maryland School of Pharmacy,
Description: Post-doctoral fellowship in 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 clinicians,
and prepares fellows for data and implementation science positions
in academia, government, and the consulting, pharmaceutical and
Fellows will engage in implementation science research, analyses of
large claims and electronic health record data sets, including
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.
Fellows receive benefits and a competitive salary.
Doctoral level degree in Computer Science, Bioinformatics,
Biomedical Informatics, Biostatistics, Epidemiology, Economics,
Operations Research, Health Services Research or related analytical
field is required. Excellent communication, organizational, and
time-management skills are a must. Research grant writing
experience is highly desired.
Additional requirements include:
Expertise in machine learning, deep learning, natural language
processing and other AI methods in health and life sciences
Proficiency in causal inference modeling and other advanced
statistical approaches in econometrics, outcomes, or health
Expertise in advanced computational methods such as network
analysis, graph databases and structured and unstructured data
Knowledge of SAS, R, Python, and SQL, or data visualization
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.
How to Apply: Applicants should submit by email*, a letter of
interest, a CV, and two letters of recommendation. Review of
applications will start immediately. Finalist interviews will take
place following telephone screening interviews.
F.T. Shaya, PhD, MPH
Professor and Data Science Fellowship Director