Academic Rank​/Depends Qualifications

Position: Academic Rank/Depends on Qualifications
Requisition Details

GENERAL REQUISITION INFORMATION

EEO Statement:

UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.

Location Omaha, NE

Requisition Number: 2026 - 133 Department COP Pharmaceutical Science  Business Unit(College/Institute) College of Pharmacy FTE:

100

Reg-Temp Full-Time Regular Work Schedule M-F 8am-4:30pm

Requisition Category Faculty

Requisition Title Academic Rank/Depends on Qualifications Job Title/Academic Rank Faculty position - Academic Rank DOQ Additional

Requisition Title Appointment Type DOQ - DEPENDS ON QUALS Salary Range Salary Commensurate with Experience Job/EEO Category Faculty Job

Requisition Begin Date 03/27/2026

Position Qualification

Position Summary

Tenure-leading Faculty Position in the Department of Pharmaceutical Sciences at the University of Nebraska Medical Center

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

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

Application requirements

* A cover letter describing interest for the position

* Current curriculum vitae including a complete list of publications

* Concise four-page description of research plans

* One-page teaching philosophy

* The applicant must provide the names and contact information of at least three references

The documents containing the research plans, teaching philosophy, and references should be uploaded as an "other document".

Applications must be submitted online at: jobs. Review of applications will begin immediately and will continue until the position is filled. For full consideration, applications should be received by July 15, 2026. Applications will be received and considered until the position is filled. Expected start date is Spring 2027.

Relevant inquiries may be directed to the Chair of the Search Committee, Martin Conda Sheridan, dasheridan.

Required Qualifications

* 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

Supplemental Qualifications

* Experience applying AI/ML methods to molecular or drug discovery problems

* Expertise in molecular modeling, cheminformatics, or simulation

* Experience with generative or predictive molecular design methods

* Integration of computational and experimental medicinal chemistry

* Collaborative and interdisciplinary research experience

* Teaching experience in medicinal chemistry or computational chemistry related to drug discovery