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Field Research Jobs in Colorado (NOW HIRING)

Stanford Climate Ventures

Research Assistant

Boulder, CO · On-site

$65 - $90/hr

Role Overview Tynt is seeking a Research Assistant to conduct hands‑on experimental work within ... Review published literature and patents in relevant fields and apply findings to current ...

University of Colorado

Research Scientist

Aurora, CO · On-site

Research Scientist Position #00807652: - Requisition #:40520 Job Summary: A Research Scientist ... Master's degree in biology, molecular biology, chemistry, genetics or related field Prior ...

University of Colorado

Research Scientist

Aurora, CO · On-site

Research Scientist Position #00807652: - Requisition #:40520 Job Summary: A Research Scientist ... at the forefronts of their fields both conceptually and technologically. Why work for the ...

Anduril Industries

Research Scientist

Broomfield, CO · On-site

... related field. * A Research Scientist should have a record of academic excellence, including ... demonstrated experience in most of the following areas: * Applied Mathematics: differential ...

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How much do field research jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for field research in Colorado is $25.99, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $30.10 per hour, depending on experience, location, and employer.

What is a field research?

A Field Research job involves collecting and analyzing data outside of a traditional office or laboratory setting. Researchers conduct surveys, interviews, or experiments in real-world environments such as natural habitats, urban areas, or industrial sites. The role often requires travel, observation, and data recording to support scientific, social, or market research studies. Field researchers must be detail-oriented, adaptable, and skilled in data collection methods relevant to their specific field of study.

What does a typical day look like for someone working in field research?

A typical day for a field researcher often includes planning research activities, collecting data on-site, coordinating with team members, and carefully documenting findings. Fieldwork may be conducted outdoors in various weather conditions, or at different sites depending on the project. You may also spend part of your day entering and analyzing data, communicating with stakeholders, or preparing reports. Collaboration with other researchers and local contacts is common, and the dynamic nature of the job means each day can bring new challenges and learning opportunities.

What are the key skills and qualifications needed to thrive in the field research position, and why are they important?

To excel in Field Research, you need strong analytical skills, attention to detail, and a relevant academic background such as a degree in environmental science, sociology, or biology. Familiarity with data collection tools, GPS devices, statistical analysis software, and sometimes certifications in research methodologies are often required. Excellent communication, problem-solving, and adaptability in varied environments are standout soft skills for this role. These qualifications ensure accurate data gathering, effective collaboration, and the ability to handle the unpredictable challenges encountered in the field.

How much does a field researcher make?

The average salary for a field researcher varies by experience and location but typically ranges from $40,000 to $70,000 annually. Entry-level positions may start around $30,000, while experienced researchers with specialized skills can earn over $80,000. Compensation often includes fieldwork, data collection, and analysis responsibilities, sometimes requiring travel and outdoor work.

What is the work of a field researcher?

A field researcher collects data and observes subjects in their natural environment to gather information for studies or projects. They often use tools like surveys, interviews, and recording devices, and may work outdoors or in specific locations depending on the research focus.

What are the most commonly searched types of Field Research jobs in Colorado?

The most popular types of Field Research jobs in Colorado are:

What are popular job titles related to Field Research jobs in Colorado?

For Field Research jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Field Research jobs in Colorado look for?

The top searched job categories for Field Research jobs in Colorado are:

What cities in Colorado are hiring for Field Research jobs?

Cities in Colorado with the most Field Research job openings:

Field Research jobs near you
Infographic showing various Field Research job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $54,056 per year, or $26 per hour.

Postdoctoral Research Scientist, Ocean CDR Atlas

Convergent Research

Boulder, CO • On-site

Full-time

Re-posted 27 days ago

Job description

About [C]Worthy
[C]Worthy is a non-profit research organization focused on  transforming research-grade oceanographic models into open, reproducible, and auditable decision-support tools for ocean-based carbon dioxide removal (CDR). Our mission is to deliver trustworthy, science-backed tools for Monitoring, Reporting, and Verification (MRV)-enabling governments, communities, and markets to make high-stakes ocean decisions grounded in transparent, scientifically credible evidence.
 
We are building three interlocking open-science capabilities: C-Star, an open-source modeling platform that systematizes regional ocean model configuration, execution, and evaluation through versioned inputs, automated workflows, and comprehensive provenance tracking; the C-Star Ocean Network (C-SON), a growing constellation of standardized regional modeling domains designed to support consistent CDR accounting across sites and regions; and the Ocean CDR Atlas, an open dataset library and web tools that map CDR performance, connectivity, and risk drivers across ocean regions-providing the basis for low-cost MRV evaluation and standard-setting worldwide.
 
These capabilities are not CDR tools alone-they are the foundation for scalable ocean science. Robust shared infrastructure makes knowledge transferable and auditable: once validated domains, standardized workflows, and reusable tooling are in place, the marginal cost of each additional application falls and the benefits of research innovation can flow across a network of projects and regions. We aspire to democratize access to sophisticated ocean information tools, empowering diverse scientific communities to participate in ocean governance and marine resource management on their own terms.
 
[C]Worthy is headquartered in Boulder, Colorado.
Role Overview
We are seeking a Postdoctoral Research Scientist to work with our team on the development of a high-resolution Ocean CDR Atlas dataset for the West Coast of North America. This dataset will provide a library of uptake efficiency kernels enabling MRV quantification for OAE deployments across the eastern Pacific without requiring new model runs for each scenario-dramatically lowering the modeling burden for individual project MRV and providing a broadly accessible reference for market standards, accounting frameworks, permitting and regulatory decision making, public communication, and research applications.
 
The Atlas simulations will be performed with the ROMS-MARBL regional ocean model within C-Star. The postdoc will configure and validate a mesoscale-resolving domain spanning the Eastern Pacific, co-design a nested submesoscale-resolving subdomain with external collaborators, run targeted sensitivity experiments, and aid in the release the Atlas as a public, fully documented dataset with reproducible C-Star workflows.
Key Responsibilities

Regional Modeling and Atlas Generation

  • Configure a mesoscale-resolving ROMS-MARBL domain for the West Coast of North America within C-Star; establish baseline model performance and validation benchmarks.

  • Validate the CDR Tracer (two-tracer) framework within the regional configuration; confirm fidelity against full MARBL reference simulations.

  • Design and execute targeted sensitivity experiments addressing geographic release season and location, surface vs. bottom-intensified release configurations, and submesoscale resolution sensitivity.

  • Co-design and configure a nested submesoscale-resolving subdomain (in collaboration with external partners) to examine mixed-layer exchange dynamics at 1-10 km scales.

  • Develop derived data products using linear superposition of OAE and DOR signals to support multi-intervention simulations (ERW, riverine alkalinity enhancement, partially equilibrated OAE).

Reproducible Workflows and Data Release

  • Manage production runs under the resulting HPC allocation.

  • Build reproducible, documented dataset-generation workflows within C-Star that are extensible to other regions and serve as templates for future Atlas projects.

  • Work with the larger team to:

    • design and implement a data formatting, transformation, and management strategy;  

    • design and implement a public data hosting strategy, including example analysis tools;

    • and release the Atlas as a public, documented dataset with an uptake efficiency kernel library enabling convolution-based MRV for arbitrary deployment configurations.

Community Engagement and Scientific Communication

  • Work with the larger team to actively engage the data user community - including CDR deployment operators, MRV practitioners, and academic collaborators - through direct outreach, workshops, and/or collaborative design.

  • Submit a peer-reviewed manuscript documenting methodology, validation, and key scientific results.

  • Contribute to [C]Worthy's broader scientific program, including participation in field-building activities, user roundtables, and community engagement.

Required Qualifications
  • Ph.D. in oceanography, atmospheric science, geophysical fluid dynamics, or a closely related field.
  • Demonstrated experience configuring, running, and evaluating regional ocean models (ROMS, MOM6, NEMO, FVCOM, or equivalent).
  • Strong background in ocean biogeochemistry, including carbonate chemistry and air-sea gas exchange.
  • Scientific software development proficiency in Python; ability to work with large geospatial datasets.
  • Experience with HPC computing environments (e.g., NERSC, NCAR/Wyoming, NSF ACCESS).
  • Ability to independently design and execute model experiments and interpret results in the context of real-world applications.
  • Strong written and oral communication skills; ability to collaborate in a small, fast-moving research team.
Preferred Qualifications
  • Familiarity with ROMS or MARBL source code; experience with coupled physical-biogeochemical model configuration.
  • Prior work on CDR quantification, MRV methodology, or ocean carbon cycle research.
  • Experience developing reproducible scientific workflows (e.g., Prefect, Snakemake, or similar orchestration tools).
  • Familiarity with data formats designed for large, cloud-native, multi-dimensional spatial data (e.g. ZARR, HDF, netCDF, COG), visualization tools, and public dataset publication practices.
  • Experience engaging with non-academic stakeholders (industry, policy, NGOs) or contributing to applied science products.
  • Interest in and familiarity with AI/ML approaches as applied to scientific modeling or data analysis.
$83,000 - $95,000 a year
This position is full-time, fixed-term (1 year, with possibility of renewal). We expect this role to start in the Fall (September, 2026).
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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