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Open nowPosted 4 hours agoWe saw it 22 min after it went up

Staff Scientist, Modeling Applications

Convergent Research27 open roles

Pay
$125,000 – $160,000 a year
Where
Boulder, CO
Work mode
On site
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Your applicationOpen nowStaff Scientist, Modeling ApplicationsConvergent Research · Boulder, CO

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8.1% of postings close within 7 days. Measured by our own scanner across the market. Convergent Research postings stay open a median of 21 days.

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  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted 4 hours ago

Convergent Research median: 21 days open

The posting

About [C]Worthy

[C]Worthy is a non-profit research organization transforming research-grade oceanographic models into decision-support tools for ocean-based carbon dioxide removal (CDR). Ocean CDR technologies, leveraging the ocean’s natural capacity to absorb and store atmospheric carbon dioxide, have the potential to make significant contributions towards meeting global climate targets. However, because the ocean is a dynamic, open system, measuring how much carbon a given CDR intervention actually removes presents a major scientific challenge. This is why robust Monitoring, Reporting, and Verification (MRV) is essential: transparent, science-backed MRV builds the trust needed for governments, communities, and carbon markets to research and scale safe, effective ocean-based solutions.

[C]Worthy is a tight group of scientists, developers, and leaders moving quickly to accelerate and de-risk ocean-based CDR. We are building C-Star, an open-source modeling platform that systematizes regional biogeochemical ocean modeling through automated, reproducible workflows, functioning as a one-stop-shop to create input and forcing data, model configurations, model execution, post-processing, and analysis. We use this software for a range of applications within CDR research and MRV applications, and work with external partners to establish a broad user-base of our software within both academia and industry.

By establishing shared, open-source infrastructure, validated model domains, and reusable workflows, we dramatically lower the barrier to entry for new ocean modeling projects and ensure scientific innovations benefit the broader community. Ultimately, we aim to democratize access to advanced ocean modeling tools—empowering researchers, policymakers, and local communities to actively shape ocean governance and marine resource management.

[C]Worthy is headquartered in Boulder, Colorado.

Role Overview

  • Answer central scientific questions at the frontier of ocean-based CDR research
  • Develop and use cutting edge open-source ocean modeling tools, paving the way for others to follow your steps
  • Leverage AI & ML to expand impact and enhance tooling for CDR
  • Design and deploy data visualizations of large geospatial datasets
  • Interact with academic, government, and industry researchers and practitioners of ocean-based CDR
  • Contribute to collaborative open-source software packages

Required Qualifications

  • Ph.D. in oceanography, atmospheric science, geophysical fluid dynamics, marine biogeochemistry, or a closely related field
  • Demonstrated experience configuring, running, and evaluating global/regional ocean and/or estuary models (e.g., Oceananigans, ROMS, MOM6, NEMO, FVCOM, SCHISM, MITGCM, Delft3D, or equivalent)
  • Working knowledge of ocean biogeochemistry, including carbonate chemistry and air-sea gas exchange
  • Proficiency in Python
  • Strong written and oral communication skills, including the ability to convey technical results to non-specialist audiences; ability to collaborate in a small, fast-moving research team

Preferred Qualifications

  • Interest in and familiarity with AI/ML approaches applied to scientific modeling or data analysis.
  • Prior work on CDR quantification, MRV methodology, or ocean carbon cycle research
  • Experience developing reproducible scientific workflows
  • Familiarity with cloud-native, multi-dimensional data formats (e.g., ZARR, HDF, netCDF, COG), visualization tools, and public dataset publication practices
  • Experience with HPC computing environments (e.g., Slurm)
  • Familiarity with uncertainty quantification, ensemble methods, or Bayesian calibration

The position is based in Boulder, Colorado (preferred), although hybrid and remote applications may be considered.

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