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Computational Biochemistry Jobs in Oregon (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Bend, OR · Remote

$80 - $110/hr

Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.

micro1 AI

Bioinformatics Software Engineer

Eugene, OR · Remote

$80 - $110/hr

Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.

micro1 AI

Bioinformatics Software Engineer

Gresham, OR · Remote

$80 - $110/hr

Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.

micro1 AI

Bioinformatics Software Engineer

Portland, OR · Remote

$80 - $110/hr

Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.

micro1 AI

Cheminformatics Specialist - Remote

Salem, OR · Remote

$80 - $110/hr

Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.

micro1 AI

Bioinformatics Software Engineer

Salem, OR · Remote

$80 - $110/hr

Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.

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Computational Biochemistry information

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$43

$58

$78

How much do computational biochemistry jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for computational biochemistry in Oregon is $58.07, according to ZipRecruiter salary data. Most workers in this role earn between $49.57 and $77.79 per hour, depending on experience, location, and employer.

What does a computational biochemistry do?

A computational biochemist uses computer models and simulations to study biological molecules and processes, such as protein structures, drug interactions, and metabolic pathways. They often work with software tools like molecular dynamics and structural modeling to analyze data and support experimental research.

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.

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 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.

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 specialists with skills in programming, molecular modeling, and data analysis can command higher wages, especially in research institutions or biotech companies.

What are popular job titles related to Computational Biochemistry jobs in Oregon?

For Computational Biochemistry jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Computational Biochemistry jobs in Oregon look for?

The top searched job categories for Computational Biochemistry jobs in Oregon are:

What cities in Oregon are hiring for Computational Biochemistry jobs?

Cities in Oregon with the most Computational Biochemistry job openings:

Computational Biochemistry jobs near you
Infographic showing various Computational Biochemistry job openings in Oregon as of August 2026, with employment types broken down into 3% Internship, 62% Full Time, 31% Part Time, 3% Contract, and 1% Nights. Highlights an 62% Physical, 2% Hybrid, and 36% Remote job distribution, with an average salary of $120,794 per year, or $58.1 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Hillsboro, OR • Remote

$80 - $110/hr

Part-time

Posted 11 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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