1

Computational Biochemistry Jobs (NOW HIRING)

S. plus 10 years of experience in biochemistry, biophysics, computational biology, structural biology, or a closely related field * Deep expertise in computational protein engineering, including AI ...

Computational Protein Designer

San Francisco, CA ยท On-site

$24.25 - $29.50/hr

Using your blend of computational expertise and in-depth biochemical understanding of proteins, you will generate insights to improve protein functionality and operate at the interface between our ...

$90 - $120/hr

The successful candidate will have expertise in computational chemistry, broadly defined. We seek ... D. in Chemistry, Biochemistry, or related field is required by the start of employment ...

New

next page

Showing results 1-20

computational biochemistry information

See salary details

$40

$54

$74

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.
More about computational biochemistry jobs

What cities are hiring for Computational Biochemistry jobs?

Cities with the most Computational Biochemistry job openings:

What are the most commonly searched types of Computational Biochemistry jobs?

The most popular types of Computational Biochemistry jobs are:

What states have the most Computational Biochemistry jobs?

States with the most job openings for Computational Biochemistry jobs include:

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.

Computational Scientist, Origin & Evolution of Life

Dayhoff Labs

Cambridge, MA โ€ข On-site

Full-time

Posted 2 days ago

New


Job description

About us
We're reverse-engineering the origin of life - one of the great unsolved problems in science, and one we think AI finally makes tractable. We believe that understanding this transition, from geochemistry to biochemistry, will let us orchestrate molecular networks and build systems that are more capable, adaptive, efficient, and intelligent.
If we succeed, the applications are vast: from catalysis and green synthesis to ab initio synthetic biology and programmable matter. Understanding and harnessing these processes could let ten billion of us thrive on this planet - and let us dream that diverse life keeps evolving and thriving beyond it.
We're a small, diverse team of AI engineers, computational scientists, and bench scientists. We hold ourselves to the rigor of a research institute, but we ship like an engineering firm. Global team, HQs in Cambridge, MA and London, UK.
The role
You'll run your own research line inside our central bet: that the origin of life is the missing chapter of biochemistry - the unfilled gap between geochemistry and modern enzymology. Questions we're interested in include:
  • How did catalysts emerge from prebiotic chemistry, and what does that say about the enzyme fitness landscape now?
  • What did the reaction networks before biochemistry look like?
  • How do thermodynamic constraints shape complex chemical systems, and what drove enzymes toward specificity?

What you'll do
  • Drive an independent research programme to insight and publication-quality results within our origins-of-life mission
  • Pursue questions spanning prebiotic catalysis, chemical reaction networks, thermodynamic constraints, and the evolution of enzymatic specificity
  • Collaborate closely with AI researchers, computational chemists, and wet-lab scientists

Essential experience
  • PhD and publication record in computational biology, computational chemistry, systems biology, chemical engineering, or an adjacent field
  • Real depth in at least one of: chemical reaction network modelling; ML for molecular systems; computational biochemistry (QM/MD, reaction or catalysis modelling); evolutionary modelling (phylogenetics, ancestral reconstruction, population genetics); non-equilibrium thermodynamics or statistical physics
  • Ability to drive a research programme to insight and publication-quality research (this matters more than specific research experience)

Highly preferred
  • Cross-disciplinary fluency across more than one of the depth areas above
  • A track record of independent, self-directed research

Logistics
Compensation is highly competitive. We're also able to sponsor visas for the right candidate.