Postdoc
On-Site
Data Science Fellowship Director
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.
Full Text of JOE Listing:
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. Fellows receive benefits and a competitive salary.
Required Qualifications:
- A doctoral-level degree in Economics, Bioinformatics, Biostatistics, or a 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 by email to Data Science Fellowship Director at Data2Action@rx.umaryland.edu
1) Letter of interest, 2) CV, 3) Name, affiliation, address, email, and phone numbers for two references.
Review of applications is on a rolling basis. Finalist interviews will take place following telephone screening interviews.
The University of Maryland, Baltimore, is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.
If you need a reasonable accommodation for a disability, for any part of the employment process, please contact us at HRJobs@umaryland.edu and let us know the nature of your request and your contact information. Please note that only inquiries regarding a reasonable accommodation request will be responded to from this email address.
Application Requirements:
External Application URL and Instructions Below
Application deadline: 31-07-2026
If there are any questions, please contact the Data Science Fellowship Director at UMB via email at Data2Action@rx.umaryland.edu.
Street, Number
Baltimore , États-Unis