Lead Computational Protein Engineer for Antibody Design

Gables Search Group; Rockville (MD); On-site; USD 140,000 - 190,000; Full time

Job summary

Gables Search Group seeks a Computational Protein Engineer to lead hands-on antibody and protein engineering programs while leveraging computational tools to accelerate and inform design cycles.

The ideal candidate will collaborate with structural biologists and computational scientists to integrate structural insights into experimental programs, applying AlphaFold and Rosetta to guide wet-lab strategies across multiple formats.

Qualifications

• PhD supported by 2+ years of industry experience in biochemistry or related field.
• Experience with antibody engineering formats including bispecifics, nanobodies, or related modalities.
• Publications and/or patents in antibody or protein engineering are a plus.

Responsibilities

• Lead experimental design and execution of antibody and protein engineering programs including affinity maturation, multi-specific antibody development, and de novo binder design.
• Drive protein expression, purification, and characterization workflows across multiple formats.
• Design and execute binding and functional assays to evaluate and iterate on engineered proteins.
• Collaborate with structural biologists and computational scientists to integrate structural insights into experimental programs.
• Apply computational tools such as AlphaFold and Rosetta to support and inform wet lab strategies.

Skills

Protein expression

Protein purification

Protein characterization

Antibody engineering

Bispecifics

Nanobodies

AlphaFold

Rosetta

ProteinMPNN

Leadership

Team management

Education

PhD in Biochemistry / Molecular Biology / Protein Biochemistry

Tools

Computational design tools

Job description

Gables Search Group seeks a Computational Protein Engineer to lead hands-on antibody and protein engineering programs while leveraging computational tools to accelerate and inform design cycles.

The ideal candidate will collaborate with structural biologists and computational scientists to integrate structural insights into experimental programs, applying AlphaFold and Rosetta to guide wet-lab strategies across multiple formats.