Postdoctoral Scientist - AI-Driven Protein Design

Johns Hopkins University; Baltimore (MD); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Health insurance

Rosetta Conferences and workshops

Advanced computing resources (NVIDIA H

Mentoring & development plans

Job summary

Johns Hopkins University in Baltimore is seeking a postdoctoral researcher to join Jeffrey Gray's lab to advance AI-driven protein engineering. You will learn and apply deep learning methods to antibodies, protein design, and docking in a collaborative setting.

The role emphasizes developing new ML tools, building datasets, and publishing findings, with access to state-of-the-art compute and strong mentoring support for career development.

Qualifications

• PhD required in engineering, biophysics, computational biology or related field.
• Experience with scientific algorithm development and protein design.
• Excellent writing and communication skills.
• Ability to work in a collaborative research environment.

Responsibilities

• Review literature on biomolecular structure, design technologies and deep learning methods.
• Assess gaps in current computational tools for protein engineering.
• Develop new deep learning approaches for antibody engineering and biomolecular design.
• Create novel ML tools and assemble datasets for model training and evaluation.
• Critically assess biomolecular designs using multiple models and physics-based methods.
• Collaborate with experimental teams to evaluate design strategies and publish results.

Skills

Algorithm development

Team collaboration

Written & oral communication

Education

PhD in Engineering, biophysics, computational biology

Job description

Johns Hopkins University in Baltimore is seeking a postdoctoral researcher to join Jeffrey Gray's lab to advance AI-driven protein engineering. You will learn and apply deep learning methods to antibodies, protein design, and docking in a collaborative setting.

The role emphasizes developing new ML tools, building datasets, and publishing findings, with access to state-of-the-art compute and strong mentoring support for career development.