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Remote Biomedical Scientist Jobs in Portland, OR

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Remote Biomedical Scientist information

See Portland, OR salary details

$75.3K

$112.6K

$166.5K

How much do remote biomedical scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote biomedical scientist in Portland, OR is $112,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,300.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a remote biomedical scientist?

A Remote Biomedical Scientist conducts biomedical research, analyzes laboratory data, and supports clinical or scientific studies from a remote location. They may work with digital lab tools, data management platforms, and virtual collaboration systems to assist healthcare, pharmaceutical, or research organizations. Typical duties include interpreting lab results, ensuring data accuracy, and contributing to scientific publications or regulatory compliance. This role is ideal for professionals with expertise in biomedical science who prefer a flexible, remote work environment.

What are the typical daily responsibilities of a remote biomedical scientist?

As a Remote Biomedical Scientist, your daily responsibilities often include analyzing scientific data, designing and interpreting experiments, keeping detailed records of findings, and preparing reports or publications. You may collaborate with other scientists, clinicians, and stakeholders through virtual meetings and project management platforms. Depending on your employer, you might also review literature, contribute to grant proposals, or provide guidance on study design and compliance. Remote roles require strong organization and communication skills to ensure effective integration with the broader research team and timely project delivery.

What are the key skills and qualifications needed to thrive in the remote biomedical scientist position, and why are they important?

To excel as a Remote Biomedical Scientist, you should possess an advanced degree in biomedical science or a related field, strong analytical skills, and experience in laboratory research techniques. Familiarity with digital lab notebooks, data analysis software (such as MATLAB or Python), and compliance certifications like GLP or GCP are often required. Excellent written communication, problem-solving abilities, and self-motivation are essential soft skills for independent remote work. These skills ensure accurate research outcomes, effective collaboration with virtual teams, and adherence to regulatory standards in a remote setting.

What are popular job titles related to Remote Biomedical Scientist jobs in Portland, OR?

For Remote Biomedical Scientist jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Scientist jobs in Portland, OR look for?

The top searched job categories for Remote Biomedical Scientist jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Biomedical Scientist jobs?

Cities near Portland, OR with the most Remote Biomedical Scientist job openings:

Remote Biomedical Scientist jobs near you
Infographic showing various Remote Biomedical Scientist job openings in Portland, OR as of August 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $112,615 per year, or $54.1 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Hillsboro, OR • 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.

Apply