Lead Computational Protein Designer

Battelle Memorial Institute; Kentucky; On-site; USD 90,000 - 130,000; Full time

Job summary

Battelle Memorial Institute in Kentucky is seeking a Computational Biologist II with deep expertise in protein modeling and engineering to advance design, testing, and optimization of protein structure-function relationships on fast-moving R&D programs.

You will contribute to cutting-edge computational work, lead tasks for multidisciplinary teams, and collaborate with wet labs to guide experiments and interpretation, leveraging AlphaFold, RFdiffusion, ProteinMPNN, Rosetta, and related tools.

Qualifications

• Bachelor's degree in related field with 2 years of experience or master's degree in related field; or an equivalent combination of education and experience.
• Strong expertise in computational protein engineering, including AI/ML enabled design, modeling, or optimization.
• Experience with open-source protein modeling tools and scripting in Python/Bash.

Responsibilities

• Design, plan, and lead computational tasks for small multidisciplinary project teams.
• Provide technical leadership and mentoring within protein engineering efforts.
• Present results to internal teams, collaborators, and external sponsors.
• Contribute to scientific publications, conference presentations, and proposals.
• Identify new technical opportunities and support growth of protein engineering capabilities.
• Support administrative and project management tasks for timely delivery.

Skills

Python

AI/ML

Protein design

Rosetta

AlphaFold

RFdiffusion

PyTorch/JAX

NumPy

Pandas

Team leadership

Communication

Education

Ph.D.

M.S. + 5 years experience

B.S. + 10 years experience

Tools

RFdiffusion

ProteinMPNN

AlphaFold

Rosetta

Conda

Docker

Apptainer/Singularity

Job description

Battelle Memorial Institute in Kentucky is seeking a Computational Biologist II with deep expertise in protein modeling and engineering to advance design, testing, and optimization of protein structure-function relationships on fast-moving R&D programs.

You will contribute to cutting-edge computational work, lead tasks for multidisciplinary teams, and collaborate with wet labs to guide experiments and interpretation, leveraging AlphaFold, RFdiffusion, ProteinMPNN, Rosetta, and related tools.