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Remote Bioinformatics Python Jobs in Portland, OR

micro1 AI

Bioinformatics Software Engineer

Vancouver, WA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

micro1 AI

Bioinformatics Software Engineer

Hillsboro, OR · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

micro1 AI

Bioinformatics Software Engineer

Portland, OR · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

micro1 AI

Bioinformatics Software Engineer

Gresham, OR · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

micro1 AI

Bioinformatics Software Engineer

Beaverton, OR · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

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Remote Bioinformatics Python information

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How much do remote bioinformatics python jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote bioinformatics python in Portland, OR is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $70.62 per hour, depending on experience, location, and employer.

What is the difference between Remote Bioinformatics Python vs Remote Genomic Data Analyst?

AspectRemote Bioinformatics PythonRemote Genomic Data Analyst
Required SkillsPython, bioinformatics tools, data analysisGenomic data interpretation, statistical analysis, Python (optional)
Work EnvironmentResearch labs, biotech companies, academiaHealthcare institutions, research organizations, biotech firms
Common CertificationsBioinformatics certifications, Python programmingBioinformatics or genomics certifications, data analysis skills

Remote Bioinformatics Python roles focus on developing and applying Python-based tools for biological data analysis, often requiring programming expertise. Remote Genomic Data Analysts interpret genomic datasets, utilizing statistical and bioinformatics skills. Both roles are prevalent in biotech and research industries, but Bioinformatics Python positions emphasize coding, while Genomic Data Analysts focus more on data interpretation and reporting.

What is a remote bioinformatics python?

A Remote Bioinformatics Python job involves using the Python programming language to analyze biological data, such as DNA, RNA, or protein sequences, from a remote location. Professionals in this role develop algorithms, scripts, and tools to process and interpret complex datasets, often supporting research in genomics, drug discovery, and healthcare. Working remotely allows bioinformaticians to collaborate with global teams and contribute to scientific projects without needing to relocate. These roles typically require strong programming skills, knowledge of bioinformatics concepts, and experience with biological databases.

What are the key skills and qualifications needed to thrive as a remote bioinformatics python professional?

To thrive as a Remote Bioinformatics Python professional, you need a strong background in biology, statistics, and computational analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Expertise in Python programming, familiarity with bioinformatics tools (such as Biopython, pandas, and NumPy), and experience using platforms like Git and Linux are essential. Strong problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote environment. These skills ensure that you can analyze complex biological data accurately, share insights with interdisciplinary teams, and contribute effectively to research or clinical projects from a remote setting.

How do remote bioinformatics python professionals typically collaborate with research teams and handle data security?

Remote Bioinformatics Python professionals often work closely with interdisciplinary research teams, including biologists, statisticians, and software engineers. Collaboration is facilitated through regular video meetings, shared code repositories (like GitHub), and project management tools such as Jira or Trello. Data security is paramount in this field, so professionals must follow strict protocols for accessing and transferring sensitive biological data, often using encrypted channels and adhering to institutional or governmental compliance standards.

What are popular job titles related to Remote Bioinformatics Python jobs in Portland, OR?

For Remote Bioinformatics Python jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Bioinformatics Python jobs in Portland, OR look for?

The top searched job categories for Remote Bioinformatics Python jobs in Portland, OR are:

Remote Bioinformatics Python jobs near you

Bioinformatics Software Engineer

micro1 AI

Vancouver, WA • Remote

$80 - $110/hr

Part-time

Posted 10 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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