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Remote Ecology Research Jobs (NOW HIRING)

AI Biologist - Metagenomics

San Francisco, CA · On-site +1

$120K - $180K/yr

... microbial ecology, bioinformatics, biology, or related field * 3+ years of hands-on research ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

New

$8 - $65/hr

  • Medical

  • PTO

... pace with cutting-edge research, and streamline problem-solving for scientists and learners ... Remote Seniority level: Mid - Senior Level

Natural Resources Specialist Sr.

Austin, TX · On-site +1

$61K - $77K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Manage and maintain ecological datasets, including GIS-based territory maps, survey records, nest ... Research, compile, analyze, interpret and prepare a variety of memorandums or reports. * Manage ...

Senior Consultant - Natural Resources

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage projects that may include research, field data collection efforts, Geographic Information ... ecological projects in the Southeast * Conduct occasional overnight and/or weekend travel to remote ...

$15/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Agricultural Sciences, Engineering, Life Sciences, Ecology Mentors: Prof. Natalie Boyle and Dr.

Showing results 41-60

Remote Ecology Research information

See salary details

$29K

$59.9K

$94K

How much do remote ecology research jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote ecology research in the United States is $59,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $78,500.00 per year, depending on experience, location, and employer.

What is remote ecology research?

Remote ecology research is the study of ecosystems, wildlife, and environmental processes using remote technologies such as satellite imagery, drones, and automated sensors. This approach allows ecologists to collect data from hard-to-reach locations without being physically present in the field. Remote research techniques help monitor changes in biodiversity, habitat quality, and climate effects on a larger scale and with greater efficiency. As a result, scientists can analyze environmental patterns and trends over time, often collaborating with global teams online.

How do remote ecology researchers typically collaborate with field teams and other scientists despite working offsite?

Remote ecology researchers often use digital communication tools like video conferencing, shared databases, and cloud-based analysis platforms to stay connected with field teams and other scientists. They frequently participate in virtual meetings to discuss research progress, data quality, and project goals. Regular coordination ensures that remote researchers can provide timely data analysis, contribute to research publications, and support decision-making, even when not physically present at field sites. This setup fosters a collaborative work environment while allowing for flexibility in location.

What is the difference between Remote Ecology Research vs Remote Environmental Data Analyst?

AspectRemote Ecology ResearchRemote Environmental Data Analyst
Required CredentialsDegree in Ecology, Environmental Science, or related fieldDegree in Data Science, Environmental Science, or related field
Work EnvironmentFieldwork, research projects, data collection, and analysisData analysis, reporting, and modeling primarily using software tools
Employer & Industry UsageResearch institutions, environmental NGOs, government agenciesConsulting firms, government agencies, environmental companies
Search & Comparison IntentUnderstanding research roles in ecologyAnalyzing environmental data remotely

Remote Ecology Research involves conducting ecological studies, fieldwork, and data collection, often requiring a background in ecology or environmental science. In contrast, Remote Environmental Data Analysts focus on analyzing environmental data sets using software tools, with a stronger emphasis on data analysis skills. Both roles are vital in environmental sectors but differ in their core activities and required expertise.

What are the key skills and qualifications needed to thrive in remote ecology research?

To thrive in Remote Ecology Research, you need a strong background in ecology or environmental science, research methodology, and data analysis, usually supported by an advanced degree such as an MSc or PhD. Familiarity with GIS software, remote sensing tools, and statistical analysis programs like R or Python is typically required. Strong attention to detail, self-motivation, and effective written communication are essential soft skills for independent research and collaboration with remote teams. These competencies ensure accurate data collection, meaningful scientific insights, and successful project outcomes in a decentralized research environment.
More about Remote Ecology Research jobs

What cities are hiring for Remote Ecology Research jobs?

Cities with the most Remote Ecology Research job openings:

What are the most commonly searched types of Ecology Research jobs?

The most popular types of Ecology Research jobs are:

What states have the most Remote Ecology Research jobs?

States with the most job openings for Remote Ecology Research jobs include:

Infographic showing various Remote Ecology Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $59,852 per year, or $28.8 per hour.

AI Biologist - Metagenomics

LatchBio

San Francisco, CA • On-site, Remote

$120K - $180K/yr

Full-time

Posted 2 days ago

New


Job description

Ai Biologist - Metagenomics
As molecular data generation and frontier model intelligence grows, new approaches to data analysis are needed across the biotech industry. Latch is building intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.
We're seeking a Ai Biologist to join our Metagenomics team, working at the frontier of what artificial intelligence can achieve in biology.
About the Role
You will contribute to our technical approach for evaluating how AI agents reason through complex microbiome and metagenomics datasets. Working with software engineers and computational biologists, you'll build ground-truth benchmark datasets: drawn from real published microbiome studies, that rigorously test whether agents can perform the critical analytical and interpretive steps that expert microbiome researchers execute.
Your deep expertise in microbiome biology, metagenomics analysis, and the ability to identify confounders and technical artifacts will define how we measure agent capability in computational microbiology.
Requirements
  • Master's or PhD in microbiology, microbial ecology, bioinformatics, biology, or related field
  • 3+ years of hands-on research experience with microbiome or metagenomics data, demonstrated through publications or industry work
  • Deep expertise in at least one of:
    • Human microbiome and disease (e.g. IBD, CRC, obesity)
    • Longitudinal microbiome or microbiome interventions (e.g. FMT, diet, antibiotics)
    • Microbial function and metabolism
    • Plant, soil, or environmental microbial ecology
  • Experience interpreting microbiome data in biological context and identifying confounders, technical artifacts, and limitations of the underlying experiments
  • Proficiency in Python and/or R for biological data analysis and visualization
  • Familiarity with 16S and/or shotgun metagenomics, including taxonomic, functional, and community-level analysis

Nice-to-Have
  • Hands-on experience designing or troubleshooting microbiome experiments, including sampling, extraction, controls, or library preparation
  • Experience integrating metagenomics with metabolomics, metatranscriptomics, host omics, or clinical phenotypes
  • Experience with strain-level analysis, metagenomic assembly, MAGs, or long-read sequencing

Culture @ Latch
How we work. Genuinely flexible schedules - we just ask that you communicate when you're coming in later than usual. We care most about hard work and output. We're respectfully opinionated, it will always be us against problems, not each other. Optimize for each other's time and bring solutions, not just problems. You'll join a bench suited to your expertise, but we value cross-domain learning and interoperability across teams.
The office & perks. Waterfront office near Oracle Park, 2x free daily meals, unlimited snacks, company outings most months, and team offsites. Plus a vibrant community: cycling, soccer, figure skating, boxing, run clubs, reading clubs, martial arts, music, game nights.
Compensation & Logistics
  • 1099 (or W8-BEN) contract, 40 hrs/week, no end date
  • Fully performance-based pay: $120K-$180K, uncapped upside. 2x quota = 2x pay.
  • 2-4 week paid ramp-full OTE from day one
  • Remote (globally), hybrid, or onsite in SF (onsite preferred)
  • Work authorization: OPT visa holders only (not STEM Extension)
  • Onsite perks: 2x free meals/day, waterfront office (China Basin), monthly parking (based on availability)
  • Candidates with all of the above qualifications + proven management skills will be eligible for more senior positions

Interview Process
Timeline: We move fast: 8-12 days from submission to offer.
  1. Intro Screen - Technical Recruiter
  2. Take-Home Project - HackerRank
  3. Technical Interview - Member of Technical Staff
  4. Culture Interview - C-Suite
  5. Offer

LatchBio logo

About LatchBio

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021

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