Computational Protein Engineer
H. T. PROF Group · Rockville, MD
FULL-TIME
Posted Sep 10, 2026
140K–210K a year
Job Description
Do you value scientific rigor, long-term relationships, and working alongside the best in the field?
My client offers scientists genuine latitude to pursue creative endeavors and true research.
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 plus 2+ years of industry experience
• 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
My client offers scientists genuine latitude to pursue creative endeavors and true research.
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 plus 2+ years of industry experience
• 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
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