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University Corporation for Atmospheric Research Associate Data Scientist II in United States

Job Description Summary: NCAR is currently hiring for the role of Associate Data Scientist II.

This position works closely with the Mauna Loa Solar Observatory (MLSO) science team to validate existing scientific image processing pipelines, work with the MLSO team on new data pipelines, assess data quality, develop and test new algorithms to improve MLSO data, and provide data tools for use by the community.

The Mauna Loa Solar Observatory acquires unique low and middle solar corona data from two coronagraphs: the Upgraded Coronal Multi-Channel Polarimeter (UCoMP) and the COSMO K-Coronagraph (K-Cor). These instruments provide observations of coronal plasma motions, thermal conditions, and plasma density and diagnostics of the coronal magnetic field. High-time cadence observations are also acquired to track the formation and dynamics of explosive events known as Coronal Mass Ejections (CMEs) that can drive radiation and geomagnetic storms on Earth.

Position Details:

Visa Sponsored Job:

Yes

Relocation Assistance Eligible:

No

Job Location:

Boulder, Colorado

Position Type & Term:

Full time, Regular

Compensation Range:

Hiring Range: $79,698 - 99,624

Final salary and rates are based on education, experience, and skills relevant to the role.

Application Notes

Job Location: Boulder, CO

Job Type: Hybrid ( 2-3 days a week is required to be on-site )

Position Type & Term: Full-time, Regular

Work Authorization: Visa sponsorship IS available for this position

Relocation Assistance: is NOT available for this position

Application Deadline: October 30, 2024 .

Required application materials:

  • Resume

  • Questionnaire (you will be asked to answer questions with your application).

    An incomplete questionnaire will result in an incomplete application.

Background Checks: Conducted for candidates selected for hire. Learn more (https://www.ucar.edu/opportunities/careers/faqs) .

What You Will Do

Here is a brief summary of what one would expect to be generally responsible for in this role.

  • Work with the instrument scientists and MLSO team to develop science data products from new instrumentation.

  • Help develop higher-level MLSO data products and community software tools for all MLSO instruments. As necessary, support the data pipeline manager with reprocessing MLSO data.

  • Improve existing calibration algorithms and verify the quality of the final science data products to the community.

  • Design software noise filtering algorithms to enhance signal and reduce noise in MLSO data. Investigate the applicability of existing community software packages for removing atmospheric effects from the MLSO data.

  • Develop visualization tools for combining MLSO data with other ground-based and NASA data products and with model output for community use.

  • Create software to automatically detect solar activity, such as solar flares, in MLSO data. Modify existing coronal mass ejection (CME) detection software to work with a variety of MLSO images and use tools like machine learning to improve CME detection.

    Who We'd Love To Join Our Team

    Successful candidates will ensure their application materials speak to the following criteria:

Education & Experience REQUIRED:

  • Bachelor’s (or equivalent) degree in a discipline pertinent to an NCAR/UCAR scientific program, such as applied mathematics, computer science, physics/astrophysics, or atmospheric sciences.

  • Three years of experience in the analysis of scientific data sets, image processing, software development (Python required), scripting languages, and machine learning.

Education & Experience Desired but Not Required:

  • Previous experience with image calibration, data pipeline development, and creation of image visualization tools and applications.

Knowledge, Skills, and Abilities REQUIRED:

  • Knowledge of programming languages (Python required).

  • Demonstrated ability to write new code and to modify and maintain existing science code.

  • Knowledge of version control systems (GitHub preferred).

  • Demonstrated ability to work in a Linux/Unix environment.

  • Demonstrated ability to process and analyze 2D/3D scientific image arrays, including but not limited to: identification of trends and patterns in data sets, data verification, noise filtering that preserves data integrity, fourier analysis, and image co-alignment.

  • Familiarity with image data processing packages to improve data quality.

  • Ability to extract science products and information on instrument performance from data using techniques such as statistical analysis, machine learning, and data visualization approaches.

  • Excellent oral and written communication skills, with an emphasis on technical communication

    Knowledge, Skills, and Abilities Desired but Not Required:

  • Familiar with metadata and provenance concept

    Benefits Overview

    UCAR affirms its commitment to employees through competitive benefits (https://www.ucar.edu/opportunities/careers/benefits) . In addition to medical, dental, vision, retirement, and life insurance, UCAR offers a variety of programs focused on work-life balance and professional, and personal development. These include:

  • 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

  • 10 days of sick leave each year

  • 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

    Commitment to Diversity, Equity & Inclusion

    Our organization is committed to creating a diverse, equitable, and inclusive work environment and fostering a culture where everyone feels welcome and supported. To learn more about these efforts, visit the Office of Diversity, Equity & Inclusion Strategic Plan (https://www.ucar.edu/sites/default/files/documents/related-links/2020-12/ODEI_StrategicPlan_Final.pdf) and our Diversity & Inclusion: A Welcoming Workplace (https://www.ucar.edu/who-we-are/diversity-inclusion) site.

    Research shows that women and people of color are less likely to apply for a position if they do not meet almost 100% of the desired skills and experience . Please note this is not necessary! If you meet the minimum requirements and have a passion for the work, you are encouraged to apply. We can provide on-the-job training for the rest!

    Commitment to Job Application Fairness

    Applicants are not required to provide age or age-related information and may redact information related to age, date of birth, or dates of attendance at or graduation from an educational institution from any submissions during the initial application process.

    Some Final Considerations

    At UCAR|NCAR|UCP, you will work alongside a dedicated team of professionals conducting critical research and community outreach to solve complex Earth system science problems including climate change, air pollution, extreme weather, floods, drought, wildfires, and space weather, all with the goal of improving human life and reducing economic loss. Each of us, from scientists to the professionals who support their work, serves the public and a collaborative community of scientists in our mission to understand the complex processes that make up the Earth system, from the ocean floor to the Sun’s core.

Flexible Work

At UCAR, we are committed to supporting our mission by giving staff the flexibility to find the schedule and location that works best to maintain their own work-life circumstances and reach their full potential as professionals. Many positions within our organization are eligible for fully on-site, hybrid, fully-remote and/or flexible work schedules.

Equal Opportunity Employer

UCAR is committed to providing equal opportunity for all employees and applicants for employment and does not discriminate on the basis of race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy. Whatever your intersection of identities, you are welcome at UCAR.

Export Control

All positions are required to comply with U.S. export compliance regulations work location requirements regarding access to facilities and research systems.

Visa Wait Times

Please consider the length of visa procurement when applying for this posting, understanding that you will not be able to begin employment until you are able to get a visa and enter the U.S.

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