Postdoctoral Research Associate in Gorgulla Lab
Listed on 2025-12-22
-
Research/Development
Data Scientist, Research Scientist, Biomedical Science, Drug Discovery
Job Description
Location:
Memphis, TN
Category:
Postdoc
Department:
Structural Biology
Shift: Weekday Day
Position Type:
Full Time
Scheduled Weekly
Hours:
40
JR5861
OverviewA postdoctoral research associate position is available with Dr. Christoph Gorgulla. This project aims to advance computational drug discovery by developing and applying innovative deep learning-based methods to identify novel small-molecule therapeutics. By combining machine learning with quantum chemistry and structure-based approaches, the project will accelerate the translation of computational predictions into experimentally validated drug leads. The work targets challenging biological systems such as Parkinson’s disease.
Responsibilities- Design and execute computational screening campaigns to identify and prioritize candidate small molecules for experimental validation, with a focus on developing generalizable workflows and tools.
- Develop or refine methodologies that improve hit identification, pose prediction, or scoring accuracy, and apply them in drug discovery projects.
- Collaborate closely with other scientists within the lab and with external academic or industrial partners to translate computational predictions into testable hypotheses.
- Mentor graduate students or interns in computational techniques, reproducible workflows, and best practices in data-driven discovery.
- Contribute to manuscript preparation, grant proposals, and presentations, with opportunities to co-lead sections related to methods or results.
- Participate in professional development activities, including conference attendance, skill-building workshops, or cross-disciplinary training.
A Ph.D. in computational chemistry, structural biology, bioinformatics, computer science, pharmaceutical sciences, or a closely related field. Candidates with significant experience in molecular modeling, virtual screening, quantum chemistry, or machine learning for drug discovery are especially encouraged to apply.
Required Skills, Knowledge, and Abilities- Very strong background and skills in deep learning and machine learning
- Machine learning frameworks, particularly Py Torch
- Experience in drug discovery or ability to adapt quickly to applied domains such as drug discovery
- Proficiency in programming or scripting (e.g., Python, Bash) for workflow automation and data analysis
- Ability to think critically about experimental data and translate findings into actionable research directions
- Excellent communication skills, both written and verbal, with the ability to present findings clearly to collaborators from diverse scientific backgrounds
- Self-motivated, organized, and able to contribute to a team-oriented environment
- Computational molecular modeling, computational biology, computational drug discovery, cheminformatics, and/or quantum chemistry
- CUDA, Tensor Flow
- Familiarity with common tools for structure-based molecular modeling or virtual screening
- Experience developing or benchmarking computational methods for drug discovery, scoring functions, predictive models or quantum chemistry
- Machine learning or AI frameworks applied to molecular discovery
- Familiarity with cloud or high-performance computing environments
- Experience collaborating with experimental scientists or participating in multidisciplinary projects
- Prior mentorship of students or involvement in team-based problem solving
- Interest in contributing to manuscripts, grant proposals, or open-source software
Our lab operates with a mentorship philosophy centered on trust, curiosity, and growth: trainees receive as much guidance and support as needed, while also being encouraged to explore ideas independently and build ownership over their work. We strive for a kind, collaborative, and intellectually generous team culture—one where people challenge bold scientific problems together while celebrating each other’s success. Above all, we are united by a shared drive to tackle high-impact challenges in computational science that have the potential to transform human health.
St. Jude Children’s Research Hospital is a world-class research institution dedicated to pediatric…
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