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Remote Biological Data Analyst Jobs in Spokane, WA

micro1 AI

Bioinformatics Software Engineer

Spokane, WA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ...

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst ...

DataAnnotation

Treasury Analyst - AI Trainer

Spokane, WA · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Corporate Tools

SEO Analyst

Post Falls, ID · On-site +1

$85K/yr

Overview As an SEO Analyst, your role is to make meaning out of messy data and help shape smarter ... This is a remote position. Our main office is in Spokane, WA, and we have satellite offices in ...

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Remote Biological Data Analyst information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

How much do remote biological data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote biological data analyst in Spokane, WA is $83,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

What is a remote biological data analyst?

A Remote Biological Data Analyst is a professional who analyzes biological datasets, such as genomics, proteomics, or ecological data, while working from a remote location. They use statistical and computational tools to interpret complex biological information, often collaborating with researchers and scientists virtually. Their work helps advance scientific understanding, inform healthcare decisions, and contribute to research projects in fields like genetics, drug discovery, and environmental science. Remote work allows them to contribute to international teams and organizations without being tied to a physical lab or office.

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

A Remote Biological Data Analyst should have a strong background in biology, statistics, and data analysis, often supported by a degree in bioinformatics, computational biology, or a related field. Expertise with programming languages such as Python or R, familiarity with bioinformatics tools (like BLAST or Bioconductor), and experience using data visualization platforms are typically required. Attention to detail, strong problem-solving abilities, and clear written communication are crucial soft skills for effectively interpreting and conveying complex biological data. These competencies enable accurate data-driven insights, facilitate remote collaboration, and support impactful biological research outcomes.

What are some common challenges faced by remote biological data analysts, and how can they be addressed?

One common challenge for remote Biological Data Analysts is effective communication and collaboration with research teams, as projects often require close coordination with biologists, statisticians, and IT professionals. To address this, it's important to proactively schedule regular virtual meetings, use collaborative platforms for data sharing, and maintain clear documentation of analyses. Additionally, managing large datasets remotely can be challenging, so familiarity with cloud-based tools and secure data access protocols is essential. Staying organized and leveraging project management tools can further help ensure smooth workflow and timely delivery of results.

What are popular job titles related to Remote Biological Data Analyst jobs in Spokane, WA?

For Remote Biological Data Analyst jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Remote Biological Data Analyst jobs in Spokane, WA look for?

The top searched job categories for Remote Biological Data Analyst jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Remote Biological Data Analyst jobs?

Cities near Spokane, WA with the most Remote Biological Data Analyst job openings:

Remote Biological Data Analyst jobs near you
Infographic showing various Remote Biological Data Analyst job openings in Spokane, WA as of August 2026, with employment types broken down into 2% Internship, 63% Full Time, 18% Part Time, 2% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,559 per year, or $40.2 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Spokane Valley, WA • Remote

$80 - $110/hr

Part-time

Posted 27 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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