Academic Rank/Depends on Qualifications
About The Position
The Department of Pharmaceutical Sciences at the University of Nebraska Medical Center ( UNMC ) seeks outstanding applicants for a tenure-leading, twelve-month faculty position at the rank of Assistant Professor or Associate Professor. We seek an innovative and collaborative scientist whose research integrates computational approaches to advance any area of the drug discovery process such as medicinal chemistry and chemical biology. We are seeking candidates who will develop and apply computational approaches to understand, design, and optimize bioactive molecules and chemical probes. Applicants should have demonstrated productivity within their area of expertise and the potential to build a nationally recognized, externally funded research program and contribute to interdisciplinary teaching and training programs in medicinal chemistry and drug discovery. Candidates must have strong expertise in at least one of the following areas: Use of Artificial intelligence for De-Novo molecular design Machine learning/Neuronal networks to develop novel drug discovery tools Molecular modeling and simulation Theoretical biophysical medicinal chemistry Deep learning-based approaches to advanced molecular design Network Pharmacology Quantum computing Hybrid In Silico/In Vitro Pipelines Work at the interface of medicinal chemistry and computational approaches
Requirements
- PhD in Medicinal Chemistry, Computational Chemistry, Chemical Biology, Pharmaceutical Sciences, Chemistry, or a closely related field
- Postdoctoral training or equivalent
- Evidence of securing external funding
- Strong publication record in peer-reviewed journals
Responsibilities
- Establish and maintain an externally funded, high-impact research program
- Develop innovative computational and/or hybrid computational–experimental drug discovery methods
- Teach undergraduate, graduate and professional courses in medicinal chemistry and related areas and develop undergraduate, graduate, and/or professional courses in their area of research expertise.
- Mentor graduate students, postdoctoral fellows, and professional trainees
- Contribute to interdisciplinary research and training initiatives
- Participate in departmental and institutional service
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
11-50 employees
