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Remote Bioinformatics Analyst Jobs in Portland, OR

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How much do remote bioinformatics analyst jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote bioinformatics analyst in Portland, OR is $48.59, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $52.02 per hour, depending on experience, location, and employer.

How do remote bioinformatics analysts typically collaborate with research teams across different time zones?

Remote Bioinformatics Analysts often work with interdisciplinary teams, including biologists, data scientists, and clinicians located in various regions. Effective collaboration is achieved through regular virtual meetings, shared project management tools, and clear documentation of workflows and analyses. Flexibility in scheduling and proactive communication are key to ensuring that project milestones are met and that all team members are aligned on objectives and outcomes. Many organizations also encourage the use of collaborative coding platforms and cloud-based data repositories to streamline teamwork.

What is a remote bioinformatics analyst?

A Remote Bioinformatics Analyst is a professional who uses computer science, statistics, and biology to analyze and interpret complex biological data, such as genetic sequences, from a remote location. They typically work with large datasets to assist in scientific research, drug development, or medical diagnostics. By working remotely, they leverage digital tools and secure data platforms to collaborate with teams and contribute to projects without being physically present in a traditional lab or office. Their work supports advancements in genomics, personalized medicine, and biotechnology.

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

To thrive as a Remote Bioinformatics Analyst, you need a solid background in biology, statistics, and computer science, typically supported by a relevant degree or advanced training in bioinformatics or computational biology. Proficiency with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with databases and version control systems are essential. Strong analytical thinking, self-motivation, and clear virtual communication skills help you collaborate effectively with distributed teams and interpret complex data. These skills and qualities are crucial for delivering accurate scientific insights and supporting data-driven research remotely.

What are the most commonly searched types of Bioinformatics Analyst jobs in Portland, OR?

The most popular types of Bioinformatics Analyst jobs in Portland, OR are:

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

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

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

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

What cities near Portland, OR are hiring for Remote Bioinformatics Analyst jobs?

Cities near Portland, OR with the most Remote Bioinformatics Analyst job openings:

Remote Bioinformatics Analyst jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Portland, OR • Remote

$80 - $110/hr

Part-time

Posted 13 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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