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Apply for this job by 01/30/2019
Employer: UCSF’s Medication Outcomes Center (MOC)
Located in: San Francisco, California
Degree Required: PhD
Established in 2007, The Medication Outcomes Center (MOC) is a premier center for pharmaceutical economics and outcome evaluations. Supporting the University of California (UC) Health System and the UC Chief Pharmacy Officers (CPOs), the mission of the MOC is to conduct state of the art, evidence-based, pharmacoeconomic analysis, medication utilization reviews, and outcome evaluations to inform decision-making around medication selection, safety and utilization. (https://pharm.ucsf.edu/medication-outcomes-center).
The University of California, San Francisco (UCSF) and School of Pharmacy (SOP), in conjunction with the MOC, is pleased to offer a two-year Post-Doctoral Research Fellowship designed to develop and strengthen outcomes-based research skills for individuals seeking work in managed care, health policy, government/public service, the pharmaceutical industry, or academia.
The fellow will collaborate with members of the outcomes research communities at UCSF including economists and statisticians. The fellow will develop and strengthen skills in big data analytics using qualitative research methods related to pharmaceutical economics and patient-centered outcomes. The fellow will have the opportunity to attend seminars delivered by world-class researchers covering various technical areas of interest including outcomes research methods, pharmacy administration, economics, and pharmacoepidemiology.
Activities are tailored to fellowship projects and may include: cleaning and managing large datasets, performing advanced data analyses and hypothesis testing, and reviewing and drafting research protocols. Ultimately, the program seeks to enhance the fellow’s knowledge of scientific literature evaluation, research design, pharmacoeconomics and health outcomes research while providing training and experience in these fields. Training will include cost-utility, cost-effectiveness, and/or cost-benefit analysis design and aim to foster an understanding of how pharmacoeconomics and outcomes research methods can be combined to inform decision-making processes.
The fellow will have opportunities to publish and/or present data at professional meetings.
To be considered for this opportunity, we seek graduates from an accredited doctoral program with a PhD in biostatistics or bioinformatics. The fellow must have strong statistical and analytical skills. This includes proficiency in data cleaning (including checking for completeness and quality in terms of accuracy), managing large datasets and conducting analyses using advanced statistical methods to inform models. Coding and programming involving advanced knowledge of R, Python, SAS, SQL or similar is also required. Prior experience working with large administrative health claims data or Epic-based software (i.e., APeX) medical record system (EMR) is desirable as is ability to multi-task and work in a diverse, multi-cultural setting.
Salary and Benefits
Annual stipend is competitive with NIH fellowships. Benefits include medical and dental insurance. In addition, vacation, sick and professional leave are provided.
Applications for the fellowship starting in May 2019 are currently being accepted, and will continue to be accepted until the position is filled. Applicants may submit electronic or paper applications including a letter of intent, curriculum vitae, and at least two letters of recommendation to:
Shanthi Noriega Minichiello
Program Manager, Medication Outcomes Center
Department of Clinical Pharmacy | Box 0622
University of California, San Francisco Medication Outcomes Center 533 Parnassus Avenue San Francisco, CA 94143-0622
Only short listed applicants will be contacted.
Posted on 01/03/2019
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