Scientist V jobs in United States
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UCAR - The University Corporation for Atmospheric Research · 22 hours ago

Scientist V

UCAR is a leading organization in atmospheric research, and they are seeking a Scientist V to assist in the scientific development of their Model for Prediction Across Scales - Atmosphere (MPAS-A). The role involves coordinating development efforts, mentoring staff, and engaging with the community to advance weather prediction capabilities.

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Responsibilities

Leading, designing, and executing scientific and innovation initiatives, contributing to theoretical advancements, methodological developments, or practical applications within specialized or interdisciplinary domains
Developing and refining novel models, tools, instrumentation, or analytical approaches. Integrating insights from multiple disciplines to address uniquely complex scientific or operational questions
Directing project teams by managing scope, risks, resources, and coordination across contributors, sponsors, and partner organizations
Applying independent judgment and subject matter expertise to define objectives, prioritize activities, and identify high-impact opportunities for future research, innovation, or application
Engaging with senior leadership and sponsors to shape scientific strategies, align goals with broader priorities, and guide proposal development and program planning
Supporting the professional growth of less experienced scientists and technical staff, mentoring, fostering collaboration and team performance
Contributing actively to, leading, and/or co-leading papers, reports, technical documentation, data sets and findings, and proposals as appropriate
Disseminating significant outcomes through peer-reviewed publications, technical tools, invited talks, stakeholder briefings, and thought leadership that influence science and practice
Representing the organization in external engagements, participating in advisory roles, national panels, or collaborative initiatives with emerging influence at strategic levels
Leading development of complex products, tools, instruments and/or technologies for projects and programs

Qualification

Computational Fluid DynamicsHigh-Performance ComputingNumerical Weather PredictionDistributed Memory Parallel ProgrammingAtmospheric Model DevelopmentTeam BuildingAnalytical SkillsStrategic PlanningPublicationsAI/ML UnderstandingMentoringCommunication SkillsLeadershipCollaboration

Required

Typically requires a minimum of a Bachelor of Science degree and 12 years related experience, or a Master's degree and 8 years of experience, or a PhD in a scientific discipline and 4 years related experience; or an equivalent combination of education and experience
Has expert knowledge of scientific or technical theories, methods, and/or modeling techniques within a specialized field, along with broad understanding of related domains
Is a skilled mentor and team builder, capable of supporting technical development, strong collaboration, and cross-project alignment
Has good communication skills to engage senior stakeholders, support program development, and translate scientific insights into real-world strategies or products
Is skilled in leadership, mentoring, and developing teams, with a focus on fostering collaborative and high-performing environments
Possesses excellent analytical and strategic planning capabilities to set priorities, navigate trade-offs, and define impactful scientific or technological directions
Demonstrates the ability to develop innovative hypotheses, methods, tools, models, or frameworks that address complex scientific, operational, or applied challenges
Has proven capability in delivering publications, presentations, or externally recognized outputs that reflect meaningful contributions to the field
Is recognized as an emerging leader in scientific communities through service, collaborative influence, or participation in national initiatives
A general understanding of atmospheric model physics is desirable
Familiarity with approaches for utilizing graphical processing units (GPU) utilization and similar accelerators in atmospheric models is beneficial
Atmospheric models are evolving to incorporate machine learning (AI/ML) techniques, and an understanding of the current state of AI/ML approaches relative to current traditional atmospheric model capabilities is highly desirable
Science applications drive model development. Experience in using atmospheric models in science and /or operational applications is highly desirable

Benefits

Tuition Assistance, time off allowance to attend classes, and other professional development opportunities.
UCAR contributes 10% of your eligible pay into your retirement account; 100% fully vested on day one.
Starting minimum accrual of 20 days of personal time off each year (prorated for less than full-time positions).
10 paid holidays.
12 weeks of paid parental leave.
Short-term medical leave paid at 100% of your regular salary.
EcoPass for local Colorado residents to use the Denver and Boulder-area transit system at no cost.

Company

UCAR - The University Corporation for Atmospheric Research

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Expanding horizons in meteorology and weather forecasting, water cycle hydrology, oceanography, solar physics, atmospheric chemistry and air quality, climate science, computer science, environmental science, and STEM education.

H1B Sponsorship

UCAR - The University Corporation for Atmospheric Research has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (38)
2024 (31)
2023 (39)
2022 (20)
2021 (27)
2020 (27)

Funding

Current Stage
Late Stage
Total Funding
$91.8M
Key Investors
National Science Foundation
2023-06-01Grant· $91.8M

Leadership Team

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Justin Young
Deputy CFO
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Alisha Swofford
Chief Operating Officer of the University Corporation of Atmospheric Research (UCAR)
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Company data provided by crunchbase