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Biotech Data Science Remote Jobs in Portland, OR

Argenx

Nurse Case Manager, Oregon

Portland, OR · Remote

  • Medical

  • Retirement

We are building a new kind of biotech company, one that maintains its roots as a science-based ... Bilingual or multilingual a plus #LI-Remote This job is eligible to participate in our short-term ...

Novartis

Allergy Territory Account Specialist - Oregon

Portland, OR · Remote

$20.25 - $27.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Summary #LI-Remote This is a field-based and remote opportunity supporting key accounts in an ... biotech, healthcare, medical device, diagnostics, life sciences services, insurance, consumer ...

micro1 AI

Cheminformatics Specialist - Remote

Gresham, OR · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Varsity Tutors

Life Sciences Tutor

Portland, OR · Remote

$18 - $40/hr

... data. Emphasizes systems-level thinking and connects life sciences to medicine, agriculture, environmental conservation, and biotechnology career applications. * Curriculum Awareness & Adaptive ...

micro1 AI

Cheminformatics Specialist - Remote

Gresham, OR · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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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.

Medical Microbiology Consultant - Remote

micro1 AI

Vancouver, WA • Remote

$70 - $90/hr

Part-time

Posted 20 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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