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

University of Tennessee • Knoxville, IA

12d • Onsite

About The Position

The Post-Doctoral Research Associate will assist Prof. Jeremy Smith and other research faculty and research scientists with research predicting protein function from multimodal inputs, including protein structure, dynamics simulations, and ligand binding. Work may use high-performance computing and/or cloud-computing platforms. The associate will work as part of a team, coordinating closely with faculty and research scientist mentors and outside collaborators. This grant-funded position is contingent upon continued grant funding.

Research topics include AI-enabled protein function prediction, molecular dynamics simulation, ligand binding, and drug and vaccine design. The role also involves molecular modeling, software development, developing AI models with collaborators, and preparing scientific manuscripts and presenting results where appropriate. The work location is the University of Tennessee site at Oak Ridge National Laboratory and is onsite.

Requirements

• PhD.
• Experience in atomistic computer simulations and/or AI and computer programming.
• Excellent working knowledge of chemistry, physics, or computer science.
• Analytical skills to collect information from diverse sources, perform analyses, summarize and present information, communicate data and 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.
• Experience simulating algorithms to understand fundamental behavior.
• Legally authorized to work in the United States full-time without needing employment-based visa sponsorship now or in the future.

Nice To Haves

• 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.

Responsibilities

• Develop research on AI-enabled protein function prediction, molecular dynamics simulation, and ligand binding.
• Undertake research on drug and vaccine design.
• Assist with molecular modeling.
• Engage in software development and coordinate with others to develop AI models.
• Develop scientific manuscripts and present research results where appropriate.
• Coordinate research efforts with faculty and research scientist mentors and outside collaborators.

Benefits

• Employees have access to career development and coaching, continued education, and development and training opportunities.
• The university describes its employee values as focusing on work-life balance, compensation, and innovation leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree