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Remote Computational Biologist Jobs in Portland, OR

micro1 AI

Bioinformatics Software Engineer

Hillsboro, OR · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Vancouver, WA · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

micro1 AI

Bioinformatics Software Engineer

Beaverton, OR · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

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Showing results 21-40

All JobsComputational Biologist JobsRemote Computational Biologist JobsRemote Computational Biologist Jobs in Portland, OR

Remote Computational Biologist information

See Portland, OR salary details

$51.4K

$99.7K

$141.6K

How much do remote computational biologist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote computational biologist in Portland, OR is $99,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $124,100.00 per year, depending on experience, location, and employer.

What is a remote computational biologist?

A Remote Computational Biologist analyzes biological data using computational techniques, such as machine learning, bioinformatics, and statistical modeling, while working from a remote location. They often collaborate with researchers, biologists, and data scientists to study genomics, drug discovery, disease modeling, or evolutionary biology. Typical responsibilities include writing algorithms, processing large datasets, and interpreting biological patterns. This role requires expertise in programming languages like Python or R and knowledge of bioinformatics tools. Remote work allows flexibility in contributing to research projects for academic institutions, biotech companies, or pharmaceutical firms.

What does a typical day look like for a remote computational biologist?

A typical day for a Remote Computational Biologist involves analyzing large-scale biological datasets, writing and debugging code, and interpreting results to support scientific projects or research goals. You'll often collaborate with wet lab scientists, bioinformatics specialists, and project managers through virtual meetings, sharing insights and integrating diverse types of data. Tasks can also include developing or optimizing analysis pipelines and preparing reports or visualizations for team discussions or publications. Flexibility in managing your workflow and strong digital communication skills are important, as you will coordinate with team members across different time zones and locations. This variety of activities ensures continual learning and exposure to cutting-edge research in the life sciences.

What are the key skills and qualifications needed to thrive in the remote computational biologist position, and why are they important?

To thrive as a Remote Computational Biologist, you need a solid background in biology, statistics, and computer science, often supported by a relevant degree (such as bioinformatics or computational biology) and experience with biological data analysis. Proficiency with programming languages like Python or R, familiarity with bioinformatics tools and databases, and knowledge of cloud computing platforms are typically required; advanced degrees or certifications can be advantageous. Strong problem-solving skills, effective written and verbal communication, and the ability to collaborate virtually are valuable soft skills in this remote role. These strengths are critical for accurately interpreting complex data sets, working productively in distributed research teams, and driving impactful scientific discoveries.

What are popular job titles related to Remote Computational Biologist jobs in Portland, OR?

For Remote Computational Biologist jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Computational Biologist jobs in Portland, OR look for?

The top searched job categories for Remote Computational Biologist jobs in Portland, OR are:

Remote Computational Biologist jobs near you
Infographic showing various Remote Computational Biologist job openings in Portland, OR as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $99,675 per year, or $47.9 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Hillsboro, OR • Remote

$80 - $110/hr

Part-time

Posted 20 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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