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Full Time Computational Biochemistry Jobs (NOW HIRING)

The Pennsylvania State University

$48K - $65K/yr

... Computational Biology and Bioinformatics, which offer excellent environments for pursuing ... BENEFITS Penn State provides a competitive benefits package for full-time employees designed to ...

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Full Time Computational Biochemistry information

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How much do full time computational biochemistry jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for full time 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 the difference between Full Time Computational Biochemistry vs Computational Biologist?

AspectFull Time Computational BiochemistryComputational Biologist
Required CredentialsBachelor's or Master's in Biochemistry, Bioinformatics, or related fields; programming skillsBachelor's or Master's in Biology, Bioinformatics, or related fields; programming skills
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsResearch institutions, healthcare, academia, biotech companies
Industry UsageUsed in drug discovery, enzyme design, metabolic modelingApplied in genomics, systems biology, disease research

Full Time Computational Biochemistry focuses on applying computational methods to biochemical problems, often emphasizing enzyme function and drug design. Computational Biologists have a broader scope, including genomics and systems biology. Both roles require similar credentials and work environments but differ in specific focus areas within the life sciences industry.

What cities are hiring for Full Time Computational Biochemistry jobs? Cities with the most Full Time Computational Biochemistry job openings:
What are the most commonly searched types of Computational Biochemistry jobs? The most popular types of Computational Biochemistry jobs are:
Full Time Computational Biochemistry jobs near you
Platform Scientist: Comparative Protein Evolution

Platform Scientist: Comparative Protein Evolution

Arcadia Science

Emeryville, CA

Full-time

Posted 19 days ago

Job description

A Bit About Us: 

We're Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and quantitative approaches to leveraging biology for therapeutics R&D. We share our research as openly as possible to accelerate discovery and engage with the broader scientific community.

The Opportunity:

Arcadia is studying biology with evolution as our guide. Our tools, methods, and frameworks probe the tree of life to identify innovations, novelties, and organisms that accelerate our basic and translational research. We're seeking a scientist with deep experience in studying the evolution of natural protein variation using comparative approaches to substantially expand our platform.


The Platform Scientist will develop computational approaches to study how natural protein variation arises and is shaped over macroevolutionary timescales, integrating sequence, structure, and function to ask how, and why, proteins differ across the tree of life. These contributions will be instrumental in developing new computational tools, validating existing tools, testing novel hypotheses, identifying knowledge and dataset gaps, and driving the creation of new computational approaches for studying protein evolution at Arcadia. We're particularly interested in candidates whose background sits at the intersection of molecular evolution and biochemistry/biophysics/structural biology.


Top candidates are inventive computational evolutionary biologists with deep experience addressing evolutionary questions related to protein characteristics to unlock novel insights. They're excited to explore new and challenging datasets, familiar with developing novel analysis pipelines, and thrive in collaborative, open research environments. Enthusiasm and participation in open science are also required as we routinely share our findings via our open-source pubs.

Key Responsibilities:

  • Produce and analyze computational workflows to interrogate and integrate protein information across non-model clades.

  • Apply phylogenetic comparative methods, ancestral sequence reconstruction, or selection inference to large phylogenomic protein datasets across non-model lineages.

  • Use comparative analyses of natural protein variation to inform Arcadia's organism and target selection capabilities.

  • Troubleshoot computational challenges independently and creatively.

  • Collaborate with cross-disciplinary teams to validate computational tools, contribute to shared research goals, and accelerate broader scientific efforts.

  • Synthesize ideas, data, and findings into fully open-access pubs and engage with the scientific community to maximize impact and garner feedback that improves the work.

Qualifications:

  • PhD or equivalent experience in evolutionary biology, molecular biology, computational biology, or a related field.

  • At least one year of full-time relevant scientific experience post-PhD.

  • Demonstrated expertise in developing and applying computational approaches to study protein evolution using sequences, structures, and functional data.

  • Demonstrated expertise in molecular evolution methods, including phylogenetic comparative methods, selection inference, ancestral sequence reconstruction, or coevolutionary analysis.

  • Familiarity with data analysis using tools like Python or R.

  • Familiarity with biophysical or structural-biology approaches to studying protein constraint and divergence is a strong plus.

  • Experience using protein language models or structural inference tools to study natural protein variation is a plus.

  • Ability to align with the team to achieve organization-wide goals and organize effective collaborations.

  • Excellent verbal and written science communication for both general and technical audiences.

Successful applicants can expect to be compensated between $130,000-$180,000 with benefits and a competitive equity offering, depending on experience level. The position will require the individual to be on-site at our Emeryville, California headquarters.
 
 
Application Process:
 
Interested applicants should send a resume and a one-page cover letter that address their interest and qualifications for the position. When applying, be sure to answer all questions found within the online portal.
 
Arcadia Science is an equal opportunity workplace; we welcome people from all backgrounds and communities. We provide competitive compensation and practical benefits to keep you happy and healthy so that you can do your best work.
 
Please note that an offer of employment from Arcadia is contingent upon the successful clearance of a reference and background check.