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Remote Ecologist Jobs in California (NOW HIRING)

SOLV Energy

NICX Technician (Remote)

San Diego, CA · Remote

$21 - $28.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is fully remote with regular travel to various job sites. Specific location details and expectations will be discussed during the interview process. *This reflects management's assignment ...

SOLV Energy

NICX Technician (Remote)

San Diego, CA · On-site +1

$21 - $28.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is fully remote with regular travel to various job sites. Specific location details and expectations will be discussed during the interview process. *This reflects management's assignment ...

Delta Group

Remote Field Technician

Sacramento, CA · On-site +1

$22 - $27/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Mobile Surveillance Driver - Western Region Love the independence of the open road? Get paid to travel! What You'll Do: Spend your weekdays exploring Northern California, Nevada, and the Northwest ...

SWBC PEO

Field Support Technician - Remote

Brea, CA · On-site +1

$25 - $35/hr

Position Purpose:The Level 2 Field Support Technician will be expected to interact with clients in person to properly resolve their technical issues. They will act as a direct resource for Level 1 ...

Ahtna, Inc.

Environmental Scientist I/II/III - AGSC

Santa Rosa, CA · On-site +1

$80K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Technical mentoring * 40% - 60% of time may be spent conducting field work, potentially in remote locations Level - III * Provide client assistance to program and project managers; scope, schedule ...

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All JobsEcologist JobsRemote Ecologist JobsRemote Ecologist Jobs in California

Remote Ecologist information

See California salary details

$34K

$58.8K

$102.6K

How much do remote ecologist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote ecologist in California is $58,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $73,000.00 per year, depending on experience, location, and employer.

What is a remote ecologist?

A Remote Ecologist studies ecosystems, biodiversity, and environmental changes using technology such as GIS, remote sensing, and data analysis without being physically present in the field. They may analyze satellite imagery, climate data, or ecological models to assess habitats, monitor wildlife, and support conservation efforts. This role often involves collaborating with researchers, government agencies, or environmental organizations to provide insights for ecological management and policy decisions.

What are the key skills and qualifications needed to thrive as a remote ecologist?

To thrive as a Remote Ecologist, you need a solid background in ecological principles, data analysis, and scientific research methodologies, generally supported by a relevant degree in ecology or environmental science. Familiarity with GIS software, remote sensing tools, and data management platforms, as well as certifications like Certified Ecologist (ESA), are often required. Strong written communication, attention to detail, and self-motivation are important soft skills for remote collaboration and effective independent work. These abilities enable ecologists to accurately collect, analyze, and report on environmental data while working remotely with multidisciplinary teams.

What are some common challenges faced by remote ecologists, and how can I prepare for them?

One common challenge for Remote Ecologists is managing fieldwork logistics and technical troubleshooting without direct, in-person support, especially when working in isolated locations. Additionally, maintaining clear communication and collaboration with team members across different time zones can require strong organizational skills and proactive engagement. To prepare, ensure you are comfortable using virtual communication platforms, have strong problem-solving abilities, and can work independently while staying aligned with team goals. Regular check-ins, thorough documentation, and flexibility with scheduling can help you navigate these challenges successfully. Ultimately, being resourceful and adaptable are key traits for thriving in a remote ecology role.

What are the most commonly searched types of Ecologist jobs in California?

The most popular types of Ecologist jobs in California are:

What are popular job titles related to Remote Ecologist jobs in California?

For Remote Ecologist jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Ecologist jobs in California look for?

The top searched job categories for Remote Ecologist jobs in California are:

What cities in California are hiring for Remote Ecologist jobs?

Cities in California with the most Remote Ecologist job openings:

Remote Ecologist jobs near you
Infographic showing various Remote Ecologist job openings in California as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $58,767 per year, or $28.3 per hour.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 5 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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