Postdoctoral Research Associate

Primary Purpose of Organizational Unit The UNC Eshelman School of Pharmacy 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 and 145 graduate 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 . Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to prepare leaders and innovators to solve the world's most pressing health care challenges. We are Advancing Medicine for Life through innovation and collaboration in pharmacy practice, education, research, and public service. Position Summary Seeking a postdoc with the focus on the development and application of computational methods for drug discovery, including AI-assisted design of targeted DELs. The postdoc will provide a major contribution to collaborative translational projects in the Center for Integrative Chemical Biology and Drug Discovery (CICBDD). Minimum Education and Experience Requirements Ph.D. in physical/computational chemistry or related quantitative field (e.g., physics, mathematics, computer science) and 2+ years of post-doctoral academic experience. Required Qualifications, Competencies, and Experience Advanced knowledge of modern statistical modeling and machine learning methods. Ability to prototype models in Python/C , preferably, and communicate scientific results orally and in print. Experience in physics, thermodynamics, molecular simulations, chemoinformatics and general molecular modeling will be highly appreciated. Expected to have a broad interest in biomedical sciences and drug discovery. Additional specific skills include simulation and modeling software (Gromacs, NAMD, Shrodinger suite), programming (other than C or Python). Preferred Qualifications, Competencies, and Experience Knowledge and skills in data processing and curation, structure-based approaches would be a significant advantage. Special Physical/Mental Requirements Special Instructions Apply online at with a cover letter, CV/resume and a list of at least three (3) professional references with their full contact information, For more information about the CICBDD in the UNC Eshelman School of Pharmacy: For information on UNC Postdoctoral Benefits and Services click here Quick Link