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Remote Ecological Modeling Jobs (NOW HIRING)

LatchBio

AI Biologist - Metagenomics

San Francisco, CA · On-site +1

$120K - $180K/yr

Ai Biologist - Metagenomics As molecular data generation and frontier model intelligence grows, new ... Master's or PhD in microbiology, microbial ecology, bioinformatics, biology, or related field * 3+ ...

Wri

Senior Water Data Scientist

Washington, DC · On-site +1

AI, machine learning and data-driven environmental modeling -> Orchestrating research and ... remote sensing, climate, and ecological datasets. * Contribute technical expertise to the ...

State of Washington

Hydrogeologist 4

Olympia, WA · On-site +1

$88K - $119K/yr

... Remote Employment: Flexible/Hybrid Job Number: 2026-NWP3072-05585 Department: Dept. of Ecology ... You'll analyze subsurface data, evaluate contaminant fate and transport modeling, and advise on ...

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How much do remote ecological modeling jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote ecological modeling in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.

What is remote ecological modeling?

Remote ecological modeling is the use of computational and mathematical models to study and predict ecological processes and patterns, often using data collected remotely, such as from satellites or drones. Professionals in this field analyze spatial and temporal data to understand ecosystems, species distributions, and environmental changes. They work remotely, utilizing software and large datasets to inform conservation efforts, policy decisions, and scientific research. This role typically requires expertise in ecology, statistics, and computer science.

How does a remote ecological modeler typically collaborate with other scientists and stakeholders on projects?

Remote Ecological Modelers often work as part of interdisciplinary teams that may include ecologists, GIS specialists, data analysts, and policy makers. Collaboration is primarily conducted through virtual meetings, shared data platforms, and collaborative software tools. Modelers are responsible for translating scientific data into actionable models, sharing results, and integrating feedback from team members. Effective communication and documentation skills are essential, as their work directly informs conservation strategies and environmental decision-making.

What are the key skills and qualifications needed to thrive as a remote ecological modeler, and why are they important?

To thrive as a Remote Ecological Modeler, you need a strong background in ecology, mathematics, and statistics, typically with a degree in environmental science, ecology, or a related field. Expertise with modeling software (such as R, Python, or GIS platforms), remote sensing tools, and sometimes certifications in data analysis or GIS are commonly required. Analytical thinking, problem-solving, and effective communication skills are crucial for interpreting complex data and collaborating with diverse teams. These skills enable accurate ecological predictions, support informed decision-making, and drive effective conservation or resource management strategies.

What is the difference between Remote Ecological Modeling vs Remote Environmental Data Analyst?

AspectRemote Ecological ModelingRemote Environmental Data Analyst
Required CredentialsDegree in Ecology, Environmental Science, or related field; GIS and modeling certificationsDegree in Environmental Science, Data Analysis, or related; statistical and GIS skills
Work EnvironmentResearch-focused, often involving ecological data and modeling softwareData-driven, analyzing environmental datasets for insights and reporting
Employer & Industry UsageResearch institutions, environmental consultancies, government agenciesEnvironmental firms, NGOs, government agencies, consulting companies
Common Search & Comparison IntentUnderstanding roles involving ecological data modelingComparing data analysis roles in environmental sectors

Remote Ecological Modeling focuses on creating models to predict ecological patterns using specialized software, while Remote Environmental Data Analysts interpret environmental data to inform decisions. Both roles require environmental or data analysis credentials but differ in their core tasks and focus areas.

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Remote Ecological Modeling jobs near you
Infographic showing various Remote Ecological Modeling job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 89% Full Time, 2% Part Time, 5% Temporary, and 2% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.

AI Biologist - Metagenomics

San Francisco, CA • On-site, Remote

LatchBio
Biotechnology Research and Development • 11 - 50 employees
Learn more about LatchBioexternal

$120K - $180K/yr

Full-time

Re-posted 11 hours ago

Key responsibilities

  • Contribute to evaluating how AI agents reason through complex microbiome and metagenomics datasets.

  • Build ground-truth benchmark datasets from published microbiome studies to test agent performance.

  • Work with software engineers and computational biologists to develop analytical and interpretive tools for microbiome data.

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
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About LatchBio

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2021

Social media

Twitter

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