Computational Protein Engineer

Htprof; Rockville (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Htprof in Rockville, MD is seeking a Computational Protein Engineer to lead hands-on experimental programs while leveraging computational tools to accelerate design cycles.

Lead experimental design and execution of antibody and protein engineering programs including affinity maturation and de novo binder design; drive expression, purification, and characterization workflows; apply AlphaFold and Rosetta to guide wet-lab strategies.

Qualifications

• PhD in biochemistry, molecular biology, protein biochemistry, or related discipline.
• Hands-on expertise in protein expression, purification, and characterization.
• Experience with antibody engineering formats including bispecifics, nanobodies, or related modalities.
• Peer-reviewed publications and/or patents in antibody or protein engineering.
• Familiarity with computational design tools (AlphaFold, Rosetta, ProteinMPNN) a plus.
• Proven ability to lead technical teams and manage complex, multi-faceted projects.
• Outstanding written and verbal communication skills.

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

Experimental design

Team leadership

Communication

Education

PhD in biochemistry or related field

Tools

AlphaFold

Rosetta

ProteinMPNN

Job description

My client seeks a Computational Protein Engineer to build and lead hands-on experimental programs while leveraging computational tools to accelerate and inform design cycles.

The ideal candidate will take on the following 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

The ideal candidate will possess the following qualifications:

• PhD in biochemistry, molecular biology, protein biochemistry, or related discipline
• Hands-on expertise in protein expression, purification, and characterization
• Experience with antibody engineering formats including bispecifics, nanobodies, or related modalities
• Peer-reviewed publications and/or patents in antibody or protein engineering
• Familiarity with computational design tools (AlphaFold, Rosetta, ProteinMPNN) a plus
• Proven ability to lead technical teams and manage complex, multi-faceted projects
• Outstanding written and verbal communication skills