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Entry Level Remote Bioinformatics Scientist Jobs in Seattle, WA

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Bioinformatics Software Engineer

Kent, WA ยท Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Entry Level Remote Bioinformatics Scientist information

See Seattle, WA salary details

$42

$62

$84

How much do entry level remote bioinformatics scientist jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for entry level remote bioinformatics scientist in Seattle, WA is $62.35, according to ZipRecruiter salary data. Most workers in this role earn between $51.15 and $71.11 per hour, depending on experience, location, and employer.

What does an entry level remote bioinformatics scientist do?

An Entry Level Remote Bioinformatics Scientist uses computational tools and software to analyze biological data, such as DNA, RNA, or protein sequences, from a remote location. They assist in interpreting large datasets, developing algorithms, and supporting research in fields like genomics, drug discovery, or medical diagnostics. Typical tasks include cleaning and organizing data, running analyses, generating reports, and collaborating with other scientists, often as part of a virtual team.

What are the key skills and qualifications needed to thrive as an entry level remote bioinformatics scientist?

To thrive as an Entry Level Remote Bioinformatics Scientist, you need a solid background in biology, statistics, and computer science, usually supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools such as BLAST, R, Python, and databases like GenBank, as well as experience with cloud computing platforms, are typically expected. Analytical thinking, attention to detail, and effective remote communication skills set candidates apart in collaborative and data-driven environments. These competencies are crucial for accurately analyzing biological data, contributing to research projects, and working efficiently within distributed teams.

What are some typical challenges faced by entry level remote bioinformatics scientists, and how can they be addressed?

Entry level remote bioinformatics scientists often encounter challenges related to effective communication and collaboration with team members, especially when working across different time zones. Additionally, getting accustomed to complex data analysis pipelines and various bioinformatics tools can be overwhelming at first. To address these challenges, it's helpful to proactively schedule regular check-ins with mentors and colleagues, utilize collaborative project management tools, and take advantage of online training resources. Building a strong routine for self-directed learning and documentation will also make it easier to adapt and grow in the remote work environment.

What is the difference between Entry Level Remote Bioinformatics Scientist vs Entry Level Remote Data Analyst?

AspectEntry Level Remote Bioinformatics ScientistEntry Level Remote Data Analyst
Required CredentialsBachelor's in Bioinformatics, Biology, or related field; familiarity with bioinformatics toolsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, collaborative with research teams, often in biotech or healthcare industriesRemote, working with datasets across various industries like finance, marketing, or healthcare
Employer & Industry UsageBiotech companies, research institutions, pharmaceutical firmsTech companies, consulting firms, healthcare organizations

While both roles involve data analysis skills, the Entry Level Remote Bioinformatics Scientist focuses on biological data and genomics, requiring specific bioinformatics knowledge. In contrast, the Entry Level Remote Data Analyst handles diverse datasets across industries. Both roles are remote and entry-level, but they serve different industry needs and require distinct domain expertise.

Are entry level remote bioinformatics scientists in demand?

Entry level remote bioinformatics scientists are in increasing demand due to the growth of personalized medicine, genomics research, and biotech industries. Skills in programming, data analysis, and familiarity with tools like R and Python enhance job prospects in this field.

Is it hard to get a job in bioinformatics?

Securing an entry-level remote bioinformatics scientist position can be competitive, as it often requires a strong foundation in biology, programming skills, and experience with tools like Python or R. Building relevant skills, gaining hands-on experience through projects or internships, and obtaining certifications can improve job prospects in this field.

What are the most commonly searched types of Remote Bioinformatics Scientist jobs in Seattle, WA?

The most popular types of Remote Bioinformatics Scientist jobs in Seattle, WA are:

What are popular job titles related to Entry Level Remote Bioinformatics Scientist jobs in Seattle, WA?

For Entry Level Remote Bioinformatics Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Bioinformatics Scientist jobs in Seattle, WA look for?

The top searched job categories for Entry Level Remote Bioinformatics Scientist jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Entry Level Remote Bioinformatics Scientist jobs?

Cities near Seattle, WA with the most Entry Level Remote Bioinformatics Scientist job openings:

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Kent, WA โ€ข Remote

$80 - $110/hr

Part-time

Posted 21 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 customerโ€™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 โ€” 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, Schrรถdinger, 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.