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Contractual Director Protein Engineering Jobs (NOW HIRING)

University of Georgia- FACS

Basic programming (Python, R, or similar) & use of AI coding tools What You'll Gain * Direct experience at the intersection of experimental protein science and AI-driven design * Mentorship from ...

Battelle

Computational Biologist

Columbus, OH · On-site

As a Computational Biologist II (Protein Engineering), you will contribute to cutting edge research ... The ideal candidate is a self directed scientist who is comfortable building new computational ...

Merck & Co.

... Director to contribute to our Company's protein therapeutic efforts from discovery through to ... engineering, molecular biology, bioengineering, or related STEM field; Relevant experience that ...

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Contractual Director Protein Engineering information

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$254K

How much do contractual director protein engineering jobs pay per year?

As of Sep 10, 2026, the average yearly pay for contractual director protein engineering in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

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Contractual Director Protein Engineering jobs near you

Research Scientist - Protein Design & Analysis

Scottsdale, AZ • On-site

AZBio Board
See more jobs at AZBio Boardexternal

Other

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Job description

About SPOC Biosciences

SPOC Biosciences is building the next-generation drug discovery & lab-in-the-loop protein design platform that integrates on-chip protein synthesis, high-resolution kinetic measurements and best in class engineering & automation. Our goal is to supercharge the discovery of next-generation biologics and accelerate AI drug design.

We collaborate with leading pharmaceutical companies, AI drug discovery startups, and academic institutions to advance therapeutics development.

Role Overview

We are seeking a motivated and hands-on Research Scientist (PhD or Postdoctoral level) with strong training in protein biochemistry and molecular biology. This role requires independent scientific judgment, strong assay development skills, and ability to work in a fast-paced startup environment. This role is ideal for recent PhD graduates or postdocs who are excited to apply rigorous experimental science to AI-enabled drug discovery.

You will work closely with senior scientists to:

  • Design and execute high throughput protein characterization experiments
  • Develop and optimize binding assays (including SPR and related platforms)
  • Generate high quality quantitative interaction data sets
  • Contribute to validation of AI-designed protein and antibody binders
  • Analyze experimental data and produce high quality visualization and reports
Required Qualifications
  • PhD in Molecular Biology, Biochemistry, Bioengineering, Protein Engineering, or related field (recent graduates with relevant experience are encouraged to apply)
  • Wet lab experience in molecular biology and biochemistry, with particular emphasis on independent assay design
  • Experience studying or computational modeling of protein-protein or protein-antibody interactions
  • Strong foundation in experimental design and data analysis
  • Demonstrated ability to work independently in a fast-paced environment
  • Strong written and verbal communication skills
  • Postdoctoral research experience is welcomed but not required.
Nice to Have
  • Experience with Surface Plasmon Resonance (SPR) or other quantitative binding techniques
  • Familiarity with high-throughput assay development
  • Exposure to De novo AI design of protein or antibody binders
  • Expression and characterization of membrane proteins and/or PTMs
  • Computational protein modelling and Analysis
  • Basic programming (Python, R, or similar) & use of AI coding tools
What You’ll Gain
  • Direct experience at the intersection of experimental protein science and AI-driven design
  • Mentorship from experienced scientists and startup leadership
  • Exposure to collaborations with pharma and leading AI drug discovery companies
  • Opportunity to contribute to publications and high-impact scientific outputs
  • Fast learning curve in a growing biotech startup
Compensation & Benefits
  • Competitive salary based on experience
  • Equity (stock options)
  • Company-paid medical, dental, vision, and life insurance
  • 401(k) with 3% company match
  • Onsite fitness center
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