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Remote Biology Science Editor Jobs (NOW HIRING)

Evaluate Biology-related outputs produced by AI systems for accuracy, quality, and scientific ... Schedule: Fully remote and asynchronous with flexible working hours Compensation & Contract

Familiarity with scientific search engines including PubMed and Google Scholar * Strong proficiency ... Familiarity with editing long-form writing e.g., publications, dossiers #LI-REMOTE Precision is ...

Lead Bioinformatics Scientist, NGS

Emeryville, CA ยท On-site +1

$160K - $230K/yr

... Biology, Computer Science, or a related quantitative field * 5+ years of experience analyzing NGS datasets (e.g., amplicon sequencing, high-throughput editing, or screening experiments) * Strong ...

Apply scientific expertise to interpret and present results of field and desktop studies ... Bachelor's degree in biology, natural resources, wildlife management, botany, wildlife biology ...

Apply scientific expertise to interpret and present results of field and desktop studies ... Bachelor's degree in biology, natural resources, wildlife management, botany, wildlife biology ...

Apply scientific expertise to interpret and present results of field and desktop studies ... Bachelor's degree in biology, natural resources, wildlife management, botany, wildlife biology ...

Apply scientific expertise to interpret and present results of field and desktop studies ... Bachelor's degree in biology, natural resources, wildlife management, botany, wildlife biology ...

Field Biologist I

Deming, NM ยท On-site +1

Apply scientific expertise to interpret and present results of field and desktop studies ... Bachelor's degree in biology, natural resources, wildlife management, botany, wildlife biology ...

Apply scientific expertise to interpret and present results of field and desktop studies ... Bachelor's degree in biology, natural resources, wildlife management, botany, wildlife biology ...

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Showing results 1-20

Remote Biology Science Editor information

See salary details

$45K

$83.1K

$157.5K

How much do remote biology science editor jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote biology science editor in the United States is $83,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $92,000.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Remote Biology Science Editors, and how do they overcome them?

Remote Biology Science Editors often face challenges such as working across different time zones, ensuring consistent communication with authors and teams, and staying updated with evolving scientific guidelines and trends. To overcome these, editors rely heavily on strong organizational skills, digital communication tools, and proactive scheduling to manage workloads and meet deadlines efficiently. They also participate in continuous professional development and maintain active engagement with professional networks to stay current in the field. This adaptability not only helps maintain high editorial standards but also fosters professional growth in a dynamic, remote work setting.

What are the key skills and qualifications needed to thrive in the Remote Biology Science Editor position, and why are they important?

To thrive as a Remote Biology Science Editor, you need a strong background in biological sciences, excellent written communication skills, and proven experience in scientific editing or publishing. Familiarity with reference management software, style guides such as AMA or APA, and digital collaboration platforms (e.g., Google Workspace, Microsoft Teams) is highly beneficial. Exceptional attention to detail, time management, and the ability to provide clear, constructive feedback are crucial soft skills for this role. These competencies ensure the delivery of high-quality, accurate scientific content that meets publication standards and client deadlines in a remote work environment.

What is a Remote Biology Science Editor job?

A Remote Biology Science Editor reviews, edits, and refines scientific content related to biology to ensure accuracy, clarity, and adherence to publication standards. They work with researchers, publishers, or organizations to improve manuscripts, articles, and reports. This role requires expertise in biology, strong editing skills, and familiarity with scientific writing conventions. Since the position is remote, editors typically communicate with clients and authors online, using digital tools to manage submissions and revisions efficiently.

More about Remote Biology Science Editor jobs
What cities are hiring for Remote Biology Science Editor jobs? Cities with the most Remote Biology Science Editor job openings:
What states have the most Remote Biology Science Editor jobs? States with the most job openings for Remote Biology Science Editor jobs include:
Infographic showing various Remote Biology Science Editor job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $83,148 per year, or $40 per hour.
Junior Computational Biologist (Remote)

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA โ€ข On-site, Remote

$30 - $34/hr

Full-time

Posted 4 days ago


Job description

Pay Rate Low: 30 | Pay Rate High: 34
A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are quantified and validated!
Title: Jr. Computational Biologist (Remote Contract)
Location: Remote (Must be available during PST business hours)
Compensation: $30-34/hour + benefits
Contract Duration: 6-12+ months
Job Duties:
This project will focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets.
The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks.
Start Date: July 1, 2026
  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote within the U.S. considered (must work PST hours)
  • Visa Sponsorship: Not availabl

Key Responsibilities
  • Systematically evaluate and benchmark computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification methods.
  • Develop or refine computational methods to address limitations in current approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications
  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas.
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy.
  • Demonstrated commitment to reproducible research practices and well-organized code.
  • Ability to clearly communicate complex computational concepts to interdisciplinary scientific teams.
  • Master's degree with ongoing PhD pursuit, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or related quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications
  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (XAI) approaches or large-scale biological datasets.
  • Demonstrated ability to build or extend novel bioinformatics pipelines.
    INDBH
    #LI-MG1