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From Home Bioinformatics Software Engineer Jobs in Bend, OR

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ... with software tools, databases, and programming languages commonly used in bioinformatics (e.g ...

Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ... with software tools, databases, and programming languages commonly used in bioinformatics (e.g ...

Sr Integration Engineer

Bend, OR · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct code reviews, rigorous testing, debugging, and ensure software quality. * Own foundational ... Hybrid arrangements available (1-2 days/week from home). * Tuition assistance. * Employee discounts.

Electrical Engineer

Bend, OR · On-site

$95K - $140K/yr

That's why we offer a total rewards package designed to support you--at work, at home, and ... Utilize engineering design software to build power system components such as circuitry, equipment ...

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Showing results 1-20

From Home Bioinformatics Software Engineer information

See Bend, OR salary details

$45.4K

$138.3K

$251.6K

How much do from home bioinformatics software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for from home bioinformatics software engineer in Bend, OR is $138,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $165,600.00 per year, depending on experience, location, and employer.

What is the difference between From Home Bioinformatics Software Engineer vs From Home Data Scientist?

AspectFrom Home Bioinformatics Software EngineerFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills in Python, R, JavaBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in Python, R, SQL
Work EnvironmentRemote, often collaborating with research labs, biotech firms, or healthcare companiesRemote, working with tech companies, finance, or healthcare organizations
Industry UsagePrimarily in biotech, healthcare, and research institutionsAcross tech, finance, healthcare, and consulting sectors

Both roles often require strong programming skills and a background in data analysis. The main difference lies in their focus: Bioinformatics Software Engineers specialize in biological data and research applications, while Data Scientists work across various industries analyzing diverse data sets. Both roles are increasingly remote and collaborative, making them suitable for from-home work environments.

What job categories do people searching From Home Bioinformatics Software Engineer jobs in Bend, OR look for?

The top searched job categories for From Home Bioinformatics Software Engineer jobs in Bend, OR are:

What cities near Bend, OR are hiring for From Home Bioinformatics Software Engineer jobs?

Cities near Bend, OR with the most From Home Bioinformatics Software Engineer job openings:

Infographic showing various From Home Bioinformatics Software Engineer job openings in Bend, OR as of June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution, with an average salary of $138,261 per year, or $66.5 per hour.

Bioinformatics Software Engineer

micro1 AI

Bend, OR • Remote

$80 - $110/hr

Part-time

Posted 15 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.