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Biotech Data Science Remote Jobs in Portland, OR

Danaher

District Sales Manager - West

Portland, OR · On-site +1

$140K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... sciences, diagnostics and biotechnology? At SCIEX, one of Danaher's 15+ operating companies, our ... Experience leading and operating effectively within a remote, geographically dispersed organization.

SYNTEGON

Service Technician - Industrial Machinery

Portland, OR · On-site +1

$36 - $41/hr

  • Medical

  • Vision

  • Retirement

  • PTO

... sciences market (pharmaceutical and biotechnology, healthcare, cosmetics, veterinary and food ... To ensure the protection of your personal data, we kindly ask you to apply exclusively through our ...

Danaher

Strategic Account Representative-Key Accounts

Portland, OR · On-site +1

$157K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... sciences, diagnostics and biotechnology? At Pall Corporation, one of Danaher's 15+ operating ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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All JobsBiotech Data Science JobsBiotech Data Science Remote JobsBiotech Data Science Remote Jobs in Portland, OR

Biotech Data Science Remote information

See Portland, OR salary details

$44K

$151.1K

$213.2K

How much do biotech data science remote jobs pay per year?

As of Aug 18, 2026, the average yearly pay for biotech data science remote in Portland, OR is $151,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $176,600.00 per year, depending on experience, location, and employer.

What is a remote biotech data scientist?

A remote biotech data scientist is a professional who applies data analysis, machine learning, and statistical methods to biological and biomedical data while working from a location outside of a traditional office. They help interpret complex datasets from experiments, clinical trials, or genomics to aid in research, drug development, and healthcare innovation. Their work involves programming, data visualization, and collaborating with cross-functional teams, all done virtually. Remote biotech data scientists typically use tools like Python, R, and specialized bioinformatics software to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a biotech data scientist in a remote role?

To thrive as a Biotech Data Scientist in a remote role, you need a strong background in biology or biotechnology, advanced data analysis skills, and proficiency in programming languages like Python or R, often supported by a relevant degree. Familiarity with bioinformatics tools, machine learning frameworks, and cloud-based collaboration platforms is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote teamwork and project delivery. These competencies ensure accurate data-driven insights, seamless remote collaboration, and impactful contributions to biotech research and innovation.

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

Remote biotech data scientists often encounter challenges related to cross-disciplinary collaboration and data accessibility, as projects frequently require input from wet lab scientists, clinicians, and IT specialists. Effective communication tools, regular virtual meetings, and clear project management protocols can help bridge these gaps. Additionally, ensuring secure and reliable access to large and sensitive datasets is essential, so familiarity with cloud platforms and data governance best practices is beneficial for success in this role.

What are the most commonly searched types of Biotech Data Science jobs in Portland, OR?

The most popular types of Biotech Data Science jobs in Portland, OR are:

What are popular job titles related to Biotech Data Science Remote jobs in Portland, OR?

For Biotech Data Science Remote jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science Remote jobs in Portland, OR look for?

The top searched job categories for Biotech Data Science Remote jobs in Portland, OR are:

Biotech Data Science Remote jobs near you
Infographic showing various Biotech Data Science Remote job openings in Portland, OR as of June 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $151,080 per year, or $72.6 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Vancouver, WA • Remote

$80 - $110/hr

Part-time

Posted 18 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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