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What types of projects can I expect to work on as a consultant at Atlas Research, and how does the team typically collaborate?

At Atlas Research, consultants often work on projects related to healthcare transformation, policy analysis, and organizational strategy for federal and public sector clients. Teams are typically multidisciplinary, collaborating closely through regular meetings, shared project management tools, and cross-functional workshops. You'll engage with subject matter experts, data analysts, and client representatives to deliver impactful solutions. This collaborative environment not only supports professional growth but also encourages knowledge sharing and innovation.

What are the key skills and qualifications needed to thrive as a research analyst at Atlas Research, and why are they important?

To thrive as a Research Analyst at Atlas Research, you typically need strong analytical skills, a relevant degree (such as in public health, policy, or social sciences), and experience in data collection and analysis. Familiarity with research software like SPSS, SAS, or qualitative analysis tools, as well as proficiency in Microsoft Office, is commonly required. Excellent written and verbal communication, attention to detail, and the ability to work collaboratively are standout soft skills. These abilities are essential for producing high-quality research deliverables, ensuring accuracy, and supporting effective client solutions in complex project environments.

What is the difference between Atlas Research vs Data Analyst?

AspectAtlas ResearchData Analyst
Required CredentialsBachelor's degree, research certificationsBachelor's degree, statistical or data analysis certifications
Work EnvironmentResearch institutions, government agenciesCorporate, healthcare, finance sectors
Employer & Industry UsagePrimarily government and research organizationsVarious industries including business, healthcare, tech
Common Search & ComparisonResearch roles, government research jobsData analysis careers, analytics roles

Atlas Research and Data Analyst roles share similarities in requiring analytical skills and research experience. However, Atlas Research typically involves conducting in-depth research within government or research institutions, often focusing on policy or program evaluation. Data Analysts tend to work across diverse industries, analyzing data sets to inform business decisions. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What is Atlas Research?

Atlas Research is a consulting firm that provides management, strategy, and operational solutions primarily to federal government agencies, with a focus on health, healthcare, and social programs. The company helps organizations tackle complex challenges such as policy development, program evaluation, organizational transformation, and technology implementation. Atlas Research is known for its expertise in supporting agencies like the Department of Veterans Affairs and the Department of Health and Human Services.
What are popular job titles related to Atlas Research jobs in Colorado? For Atlas Research jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Atlas Research jobs in Colorado look for? The top searched job categories for Atlas Research jobs in Colorado are:
Atlas Research jobs near you
Infographic showing various Atlas Research job openings in Colorado as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Postdoctoral Research Scientist, Ocean CDR Atlas

Convergent Research

Boulder, CO

$83K - $95K/yr

Full-time

Re-posted 2 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.
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.