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How much do computational biochemistry jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for computational biochemistry in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is a computational biochemist?

A Computational Biochemistry job involves using computer models, simulations, and data analysis to study biological molecules and processes. Professionals in this field apply computational techniques to understand protein structures, enzyme functions, drug interactions, and biomolecular dynamics. They often work in pharmaceutical research, biotechnology, or academia to accelerate drug discovery and understand disease mechanisms. Strong skills in programming, molecular modeling, and statistical analysis are essential for success in this role.

What does a computational biochemist do?

As a Computational Biochemist, your daily tasks often include developing and running molecular simulations, analyzing biochemical data sets, and collaborating with laboratory researchers to design experiments. You may spend a significant portion of your time coding, troubleshooting computational models, and interpreting complex results to guide research decisions. Regular meetings with cross-functional teams are common, ensuring that computational findings are integrated into ongoing projects. This blend of independent technical work and collaborative efforts supports the advancement of scientific discovery and drug development.

What skills and qualifications are needed to thrive as a computational biochemist?

To excel in Computational Biochemistry, you need a solid background in biochemistry, molecular biology, and computer science, often supported by a relevant advanced degree such as a Master's or PhD. Familiarity with molecular modeling software, statistical analysis tools, programming languages (such as Python, R, or C++), and experience with high-performance computing systems are typically required. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities are highly valued. These skills are crucial for successfully analyzing complex biological data, developing predictive models, and collaborating on multidisciplinary research projects.

Does computational biochemistry pay well?

Computational biochemistry professionals typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start lower, but experienced roles involving advanced skills in programming, molecular modeling, and data analysis can command higher pay, especially in research institutions or biotech companies.
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computational biochemistry jobs near you
Infographic showing various Computational Biochemistry job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 53% Full Time, 45% Part Time, and 1% Contract. Highlights an 49% Physical, 2% Hybrid, and 49% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Scientist, Computational Protein Design

Adimab

Mountain View, CA • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Adimab is the leading technology provider for therapeutic antibody drug discovery, focusing solely on partnerships without pursuing an internal product pipeline. The Scientist, Computational Protein Design will lead protein design campaigns, collaborating with wet-lab teams and utilizing modern AI methods to enhance the design-build-test cycle.
Responsibilities:
• Take end-to-end ownership of computational protein design campaigns — from design generation through wet-lab collaboration, analysis of experimental data, and optimization of the design-build-test cycle. Applications span de novo epitope-targeted IgG, VHH, and minibinder design, as well as protein solubilization and stabilization.
• Partner with wet-lab teams to design experiments that generate custom training data for affinity, epitope, and specificity prediction models. Train and rigorously benchmark resulting models against internal and external baselines.
• Build and maintain the computational infrastructure supporting both protein design campaigns and model development, including reproducible pipelines and integration of computational outputs with wet-lab data.
• Track developments in computational protein design and ML; evaluate relevance to Adimab's platform and identify opportunities for integration.
• Serve as a resource for wet-lab scientists on AI/ML capabilities and best practices, helping antibody and protein engineering teams apply computational design methods.
Qualifications:
Required:
• PhD in Biophysics, Biochemistry, Structural Biology, Computational Biology, or a related field.
• 2–4 years of post-PhD experience specifically in computational protein or binder design.
• Strong foundation in the analysis of structural and energetic factors driving protein-protein interactions.
• Proficiency with structure prediction and generative design tools such as RFAntibody, BindCraft, and Protenix.
• Strong Python skills and experience building reproducible analysis and modeling pipelines.
• Proven track record of publication or patent contribution in applied ML for proteins or computational design.
Preferred:
• Crystallography or cryo-EM experience is a plus.
Company:
Adimab is an antibody discovery and optimization platform, developing full-length human Immunoglobulin Gs. Founded in 2007, the company is headquartered in Lebanon, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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