Research Professional
Job description
The UNC Eshelman School of Pharmacy (www.pharmacy.unc.edu) is one of five health science schools (Pharmacy, Nursing, Dentistry, Public Health, Medicine) at the University of North Carolina at Chapel Hill and is one of the oldest health science academic programs at Chapel Hill. The School teaches approximately 600 PharmD students, 100 PhD students, and 20 Master’s students. The School has built a reputation for its continued pursuit of excellence, rigorous education and training programs, cutting-edge multidisciplinary research, progressive pharmacy practices, efficient business operations, and its outstanding faculty, staff, and students. The School was named the number one School of Pharmacy in the U.S. by the U.S. News and World Report. The School has experienced unprecedented growth and success and continues to strategically position itself for sustained impact, as articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/ospa/strategic-plan/)
Our vision is to be the preeminent school of pharmacy where leaders in practice, education, and research are developed and nurtured. We are Advancing Medicine for Life through innovation and collaboration in pharmacy practice, education, research, and public service.
Research Associate to conduct computational modeling studies to identify novel biological targets and associated chemical probes for host-directed antiviral drug discovery; conduct biological pathway mining using tools such as QIAGEN Ingenuity Pathway Analysis (IPA) and biomedical knowledge graph mining followed by the targeted analysis of chemical bioactivity databases such as ChEMBL.
Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure.
- Experience with computational modeling, simulation and data analysis.
Experience with natural products research and familiarity with laboratory techniques.
Not Applicable.
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