Job ID: 145321

Post-Doctoral Fellowship in Data and Implementation Science

University of Maryland, Baltimore

  • Aug. 7, 2020
 
  • Post-Doctoral Fellowship in Data and Implementation Science
  • Pharmaceutical Health Services Research, School of Pharmacy
  • https://www.pharmacy.umaryland.edu/a...
  • University of Maryland, Baltimore
    Baltimore, MD
 
  • Open until filled
  • Available immediately
  •  
 
  • Post-Doc
  • Pharmacy - General
 
 

Post-Doctoral Fellowship in Data and Implementation Science

Location: University of Maryland School of Pharmacy, Baltimore Maryland

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 insurance industries.

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.

Qualifications: 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 datasets
Proficiency in causal inference modeling and other advanced statistical approaches in econometrics, outcomes, or health services research
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 required
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
*Email: fshaya@rx.umaryland.edu


  • The University of Maryland, Baltimore is an Equal Opportunity/Affirmative Action employer and educational institution and does not discriminate on the basis of race, color, religion, age, ancestry, national origin, gender, sexual orientation, gender identity or expression, physical or mental disability, marital status, or protected veteran’s status to recruit, hire, compensate, train, and promote employees and applicants for employment in all job levels with regard to their qualifications and without consideration to the aforementioned categories. Exceptions to this policy will be made only as allowed by law; for example, due to bona fide occupational qualifications or lack of reasonable accommodations for disabilities.

    The University is committed to equal opportunity in the workplace and affirmative action to identify qualified applicants from many backgrounds and to retaining a diverse workforce. All of us benefit from the opportunity to work in an environment that brings together people from diverse backgrounds, and equal employment opportunity is essential to achieving diversity. The University prepares an annual Affirmative Action Plan aimed at developing and maintaining a broadly representative workforce. Through internal monitoring and reporting systems, the University assesses the effectiveness of its Affirmative Action Plan.

    The University is committed to fostering a work environment free of discrimination where respect and civility is valued. To that end, the University condemns incidents of hate crimes, intimidation, and bias. Harassment or acts of violence that are racially, ethnically, and/or otherwise motivated and which infringe on the rights and freedom of others will not be tolerated at the University’s institutions or facilities.

    The coordination of responsibilities for the implementation and monitoring of the Affirmative Action Plan has been assigned to Sheila K. Blackshear, Administrator of Diversity, ADA and Affirmative Action in Human Resource Services, with the full support of the president, deans, and vice presidents. Although school and departmental Affirmative Action Coordinators have responsibility for implementing the Affirmative Action Plan, administrative officers involved in University employment actions also are expected to promote the principles of equal opportunity and affirmative action.


 
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Contact Information

 
  • F.T. Shaya, PhD, MPH
    Pharmaceutical Health Services Research, School of Pharmacy
    University of Maryland, Baltimore
    220 Arch Street, 12th Floor Room
    Baltimore, MD 21201
  •  
  • fshaya@rx.umaryland.edu


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