Scientist IV​/V

Overview

Job Location:

Boulder, Colorado

Position Type:
Full time, Regular
• Hybrid (3 days/week in Boulder office)

Compensation Range:
Hiring Salary Range: $98,900 - $128,600 (Scientist IV) or $109,600 - $142,500 (Scientist V). Final salary depends on education, experience, skills, and internal equity.

Final date to receive applications:
This position will be posted until 11:59:59 pm MDT on Sunday, May 24, 2026.

Visa Sponsorship:
Not available for this position.

Background Checks:
Conducted for candidates selected for hire.

Work Location:

Regardless of flexible work arrangements, UCAR requires ALL positions to be performed within the U.S., excluding U.S. Territories.

We are seeking a highly accomplished scientist to drive critical research in atmospheric composition. This position will support the Stratosphere Troposphere Response using Infrared Vertically-resolved light Explorer (STRIVE) satellite mission. The successful candidate must be an expert in satellite atmospheric composition retrieval theory, with proven experience in developing innovative algorithms that translate satellite radiances into essential geophysical quantities. A strong command of atmospheric radiative transfer modeling, preferably in the thermal infrared spectrum, is also essential.

You will demonstrate high proficiency with computing methods and be adept at rapidly prototyping algorithms with easily used code, preparing them for robust operational data processing.

This role requires the ability to serve as a critical team member and carries the responsibility of supervising a Software Engineer. Candidates will be evaluated and considered for the level (Scientist IV or V) that best matches their educational background and professional experience.

• Designing and executing complex scientific and/or technical investigations to address complex, often interdisciplinary problems.
• Developing or refining scientific models, algorithms, experimental methods, observational techniques, or analytical tools, applying advanced technical principles and incorporating recent developments in the field.
• Leading or coordinating scientific components of projects or programs, including establishing goals, methodologies, timelines, and overseeing deliverables across internal and external collaborators.
• Applying advanced data analysis and interpretation techniques, including statistical, computational, or simulation-based approaches to extract insights and validate results.
• Contributing to and/or co-leading peer-reviewed publications, technical reports, data sets, findings, proposals, and documentation, and presenting findings at national and international conferences, workshops, and stakeholder briefings.
• Supporting less experienced staff and team members by providing technical guidance, fostering scientific growth, and supporting collaborative working environments.
• Contributing to scientific proposal development and strategic planning.
• Engaging with internal and external stakeholders, translating complex scientific findings for diverse audiences and helping to shape project direction or programmatic priorities.
• Leading development of products, tools, instruments and/or technologies for projects and programs.

Education: Typically requires a minimum of a Bachelor of Science degree and 10 years related experience, or a Master’s degree and 6 years of experience, or a PhD in a scientific discipline and 2 years of related experience; or an equivalent combination of education and experience.

Knowledge: Has advanced knowledge of scientific principles, methods, and observational and/or modelling techniques in a primary discipline, with a sound understanding of related fields.

Skills and Abilities:

• Mentorship and interpersonal skills for supporting less experienced staff and fostering collaboration and scientific development.
• Ability to develop or refine scientific models, algorithms, techniques, or tools with attention to technical accuracy, usability, and applicability.
• Advanced data analysis and synthesis skills using statistical, computational, or simulation-based approaches.
• Capability to…