1

Phd Computational Engineering Jobs (NOW HIRING)

$82K - $97K/yr

Lead experimental design and execution of antibody and protein engineering programs including ... PhD in biochemistry, molecular biology, protein biochemistry, or related discipline plus 2+ years ...

PhD in Physics, Applied Physics, Engineering Physics, Electrical Engineering, Computer Science ... Background in optics, photonics, computational imaging, 3D vision, structured light, hyperspectral ...

$88K - $121K/yr

PhD Position - Analysis of Integrated Power, Gas and Hydrogen Systems At the Institute of Climate ... computational engineering, or a related field * Strong background in numerical methods ...

Showing results 41-60

Phd Computational Engineering information

See salary details

$48.5K

$121.5K

$137.5K

How much do phd computational engineering jobs pay per year?

As of Sep 10, 2026, the average yearly pay for phd computational engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Phd Computational Engineering jobs?

For Phd Computational Engineering jobs, the most frequently searched job titles are:

Infographic showing various Phd Computational Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computational Protein Engineer

On-site

$82K - $97K/yr

Other

Posted 6 days ago


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
#J-18808-Ljbffr