Postdoctoral Fellowship in Pharmaco-economics, Data and Implementation Science

The University of Maryland School of Pharmacy, Department of Pharmacy Practice, Sciences, and Health Outcomes Research's (PSHOR) Data Science Program has an exciting Postdoctoral Fellowship opportunity. Fellowships within P-SHOR provide multidisciplinary, advanced training to researchers, and prepare fellows for pharmaco-economics, data and implementation science positions in academia, government, and the consulting, pharmaceutical and insurance industries.

Discipline: Pharmaco-economics, Data and Implementation Science

Location: University of Maryland School of Pharmacy, Baltimore, MD

Start date: Immediate

Salary: $63,480 - $77,076 (Commensurate with NIH stipend levels, education, and experience)

Benefits: https://www.umaryland.edu/hrs/benefits/

For more information regarding benefits for postdoctoral fellows, please visit the UMB Benefits Summary.

Job Summary:

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.

Qualifications

Required Qualifications:

Doctoral level degree in Economics, Bioinformatics, Biostatistics, or related quantitative analytical field is required. Excellent communication, teamwork and collaboration, organizational, and time-management skills are a must. Research grant writing experience and a publication track record are highly desired.

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

HOW TO APPLY:

Applicants should submit a letter of interest, curriculum vitae (CV), name, affiliation, address and phone numbers for two (2) references. To Taleo requisition # (260000BF).

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

If there are any questions, please contact the Data Science Fellowship Director at UMB via email at (Data2Action@rx.umaryland.edu).