The Kellogg lab is looking to hire multiple postdoctoral fellows in the area of computational protein design to expand their genome-editing research portfolio. They are looking for expertise in machine-learning method development or application to relevant protein design problems. Examples include diffusion models, large language models, or graph neural networks. Candidates should have a strong background in software/computation, lab bench experience is viewed as a plus.
Minimum Qualifications:
• PhD level in protein design & engineering with a strong emphasis in computational (Rosetta structure based design) and recent generative AI methods (AlphaFold, ROSETTAFold, ESM-3, LLMs etc) OR bioinformatics.
• A proven track record of success in protein design projects, from concept to experimental characterization.
Preferred qualifications:
• Ph.D. degree in biochemistry, biophysics, bioengineering, structural biology or computer science with a strong emphasis on computational and AI methods and/or bioinformatics.
• An outstanding academic and professional track record of achievement.
• Demonstrated experience in not only using but developing computational or AI protein design algorithms a strong plus
• Practical experience in experimental biochemistry, molecular biology, structural biology or biophysics a plus.
• Experience or interest in biotechnology industry desired.
• Independence, critical thinking, and experience with mentoring and collaborative interdisciplinary work is strongly valued.
Email CV and cover letter to postdoc@stjude.org with Subject Line "Application for Postdoctoral Research Associate - Structural Biology via ISMB25 portal"