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Remote Biologist Jobs (NOW HIRING)

Keish Environmental PC

$38 - $50/hr

This position is an On Call, REMOTE position. The employee will be required to travel to project ... S. in Ecology, Biology, Natural Resources, or related field * 5+ years of field monitoring ...

Keish Environmental PC

$38 - $50/hr

This position is an On Call, REMOTE position. The employee will be required to travel to project ... S. in Ecology, Biology, Natural Resources, or related field * 5+ years of field monitoring ...

Dudek

Mid-Senior Biologist

$68K - $110K/yr

Field / Remote Compensation: $68,000-$110,000 annually* Dudek's journey began in 1980 with a vision ... A Biologist III focuses on project leadership, community coordination, and mentoring junior staff ...

Dudek

Mid-Senior Biologist

$68K - $110K/yr

Field / Remote Compensation: $68,000-$110,000 annually* Dudek's journey began in 1980 with a vision ... A Biologist III focuses on project leadership, community coordination, and mentoring junior staff ...

Dudek

Wetland Permitting Biologist

$70K - $80K/yr

Biological Work Environment ... Remote Compensation: $70,000-80,000/annually* Dudek's journey began in 1980 with a vision to serve ...

Chloeta

Wildlife Biologist

Las Cruces, NM · On-site +1

Remote, New Mexico Travel: U p to 10%, contingent on business needs Duties/Responsibilities ... Knowledge of wildlife biology, ecology, and habitat management principles * Ability to conduct ...

Wood Plc

Biologist or Wetland Specialist

Houston, TX · On-site +1

Work effectively with team members as well as independently. #LI-Remote #LI-Hybrid Skills ... Experience evaluating biological resources/ecosystem conditions and preparing summaries of baseline ...

Wood Plc

Biologist or Wetland Specialist

Dallas, TX · On-site +1

Work effectively with team members as well as independently. #LI-Remote #LI-Hybrid Skills ... Experience evaluating biological resources/ecosystem conditions and preparing summaries of baseline ...

Wood Plc

Biologist or Wetland Specialist

Austin, TX · On-site +1

Work effectively with team members as well as independently. #LI-Remote #LI-Hybrid Skills ... Experience evaluating biological resources/ecosystem conditions and preparing summaries of baseline ...

Wood Plc

Biologist or Wetland Specialist

El Paso, TX · On-site +1

Work effectively with team members as well as independently. #LI-Remote #LI-Hybrid Skills ... Experience evaluating biological resources/ecosystem conditions and preparing summaries of baseline ...

ICF

Biologist/Field Lead

Houston, TX · On-site +1

Biologist / Field Lead Remote - Texas Preference for Austin, Dallas/Fort Worth, Houston, or San Antonio ICF is growing in Texas, and we want you to join in our growth! ICF's Texas environmental team ...

ICF

Biologist/Field Lead

San Antonio, TX · On-site +1

Biologist / Field Lead Remote - Texas Preference for Austin, Dallas/Fort Worth, Houston, or San Antonio ICF is growing in Texas, and we want you to join in our growth! ICF's Texas environmental team ...

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$37K

$89.4K

$138K

How much do remote biologist jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote biologist in the United States is $89,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $121,000.00 per year, depending on experience, location, and employer.

How do remote biologists typically collaborate with lab-based teams and manage fieldwork responsibilities?

Remote biologists often use digital tools and platforms to maintain close communication with lab-based colleagues, sharing data, research updates, and collaborating on analysis in real-time. While their primary work location is remote, they may coordinate fieldwork by planning site visits, managing sample collection logistics, and using remote sensing technology or local field assistants. Effective time management and clear communication are crucial, as remote biologists must balance independent tasks with collaborative projects and periodic meetings to ensure research goals are met.

What is a remote biologist?

A remote biologist is a professional who studies living organisms and ecosystems while working outside of a traditional laboratory or office setting, often from home or in the field. They may conduct data analysis, write research papers, and collaborate with colleagues virtually. Remote biologists use digital tools to collect and interpret data, participate in virtual meetings, and contribute to scientific research. This role allows for flexibility and can involve working for academic institutions, government agencies, or private companies.

What are the key skills and qualifications needed to thrive as a Remote Biologist, and why are they important?

To thrive as a Remote Biologist, you need a solid background in biological sciences, research methodologies, and data analysis, typically supported by a degree in biology or a related field. Familiarity with statistical software (such as R or Python), GIS tools, and virtual collaboration platforms is often required. Strong self-motivation, written communication, and problem-solving abilities help individuals excel when working independently or with remote teams. These skills are crucial for conducting accurate research, sharing findings effectively, and maintaining productivity outside a traditional lab or field environment.
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Remote Biologist jobs near you
Junior Computational Biologist (Remote)

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Posted 15 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

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