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Remote Bioinformatics Computational Biology Jobs in Bothell, WA

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

Showing results 21-24

Remote Bioinformatics Computational Biology information

See Bothell, WA salary details

$54.8K

$227.5K

$447.2K

How much do remote bioinformatics computational biology jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote bioinformatics computational biology in Bothell, WA is $227,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $447,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Bioinformatics Computational Biology vs Remote Genomics Data Analyst?

AspectRemote Bioinformatics Computational BiologyRemote Genomics Data Analyst
Required CredentialsDegree in Bioinformatics, Computational Biology, or related fields; proficiency in programming and data analysisDegree in Genetics, Genomics, or related fields; experience with data analysis tools
Work EnvironmentResearch labs, biotech companies, academic institutions, often collaborative and project-basedHealthcare, research institutions, biotech firms; focus on data interpretation and reporting
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, diagnostics, and research sectors

Remote Bioinformatics Computational Biology involves developing algorithms and analyzing biological data, often requiring programming skills and a research-focused environment. In contrast, Remote Genomics Data Analysts primarily interpret genomic data for clinical or research purposes, focusing on data reporting. Both roles share similar credentials but differ in their specific applications and work settings.

What are the key skills and qualifications needed to thrive as a remote bioinformatics computational biologist, and why are they important?

To thrive as a Remote Bioinformatics Computational Biologist, you typically need a strong background in molecular biology, genetics, and computer science, often supported by a degree in bioinformatics, computational biology, or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics tools (like BLAST, GATK, or Bioconductor), and familiarity with high-performance computing environments are crucial. Excellent problem-solving, communication, and collaboration skills help you interpret complex data and work effectively with interdisciplinary teams across remote settings. These skills are essential for analyzing and interpreting large-scale biological data, driving research insights, and contributing to scientific discoveries in a distributed work environment.

What is a remote bioinformatics computational biology job?

Remote bioinformatics computational biology jobs involve analyzing and interpreting biological data using computational tools and techniques, all while working from a location outside of a traditional office or laboratory. Professionals in this field typically work with large datasets such as DNA, RNA, or protein sequences, developing algorithms and software to help make sense of complex biological information. These roles often require expertise in programming, statistics, and biology, and they enable collaboration with scientists and researchers around the world through digital platforms. Working remotely in this field provides flexibility and access to global opportunities without the need to relocate.

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

Remote bioinformatics computational biologists often work with multidisciplinary teams spread across various locations and time zones. Collaboration is typically facilitated through regular virtual meetings, project management platforms, and version-controlled code repositories. Clear communication, flexible scheduling, and detailed documentation are crucial to ensure smooth workflow and avoid miscommunication. Many teams adopt agile methodologies to prioritize tasks and keep everyone aligned, regardless of geographical differences.
What are the most commonly searched types of Bioinformatics Computational Biology jobs in Bothell, WA? The most popular types of Bioinformatics Computational Biology jobs in Bothell, WA are:
What are popular job titles related to Remote Bioinformatics Computational Biology jobs in Bothell, WA? For Remote Bioinformatics Computational Biology jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Computational Biology jobs in Bothell, WA look for? The top searched job categories for Remote Bioinformatics Computational Biology jobs in Bothell, WA are:
Infographic showing various Remote Bioinformatics Computational Biology job openings in Bothell, WA as of August 2026, with employment types broken down into 60% Full Time, 35% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $227,454 per year, or $109.4 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Renton, WA • Remote

$70 - $90/hr

Part-time

Posted 11 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.