Post-Doctoral Research Associate, The Center for Molecular Biophysics: UTK

This position will assist Prof. Jeremy Smith as well as other research faculty and research scientists in performing research predicting protein function from multi-modal inputs, including protein structure, dynamics simulations and ligand binding. The positions may make use of high-performance computing and/or cloud computing platforms for their work.

The positions will be part of a working team and will coordinate their efforts closely with faculty and research scientist mentors as well as outside collaborators. This is a grant-funded position and is contingent upon the continued funding of the grant. The postdoctoral fellows will be responsible for the development of various research topics including AI-enabled protein function prediction, MD simulation and ligand binding.

Workflow development may also be involved. Research on drug and vaccine design will also be undertaken. Researchers will assist in performing molecular modeling, engage in software development, and coordinate with others to develop AI models. The researchers will also develop scientific manuscripts associated with their work and present their results where appropriate.

Required Qualifications: Education: PhD Experience: In atomistic computer simulations and/or AI and computer programming. Knowledge, Skills, & Abilities: Excellent working knowledge of chemistry, physics or computer science. Analytical skills necessary to collect information from diverse sources, perform analyses, summarize, and present the information to communicate data, trends, and solve problems Excellent written and verbal communication skills Ability to multitask Molecular modeling and simulation of biological macromolecular systems Practical experience developing AI models Simulating algorithms to understand fundamental behavior Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment-based visa status.

Preferred Qualifications

Experience: Experience deploying scientific software on high-performance computing and/or cloud-computing environments Protein structure prediction Ensemble docking Computational workflow development Experience with generative machine learning Work Location: Location: University of Tennessee site at Oak Ridge National Laboratory (ORNL) Onsite Compensation and Benefits: Anticipated hiring range: $60,000 Find more information on the UT Market Range structure here Find more information on UT Benefits here Application Instructions: To express interest, please submit an application with the noted below attachments: Resume Cover Letter Three references About The College/Department/Division: The University of Tennessee Department of Biochemistry & Cellular and Molecular Biology (BCMB) is home to over 400 undergraduate majors.

Housed in the Ken and Blaire Mossman (1311 Cumberland Ave.) and Hesler Biology and Greenhouse (1406 Circle Dr.) Buildings, our research teams of faculty, undergrads, graduate students, and postdoctoral fellows are working on topics ranging from molecular structure to organismal levels.