Commercial Data Program Scientific Data Analyst at Lynker Corporation
Boulder, Colorado, USA -
Full Time


Start Date

Immediate

Expiry Date

15 Nov, 25

Salary

90000.0

Posted On

15 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Recognition Awards, Data Visualization, Flexible Spending Accounts, Communication Skills, Management System, Disability Insurance

Industry

Information Technology/IT

Description

Overview:
Lynker, a Federal Government Contractor, is seeking to fill a full-time position supporting the National Centers for Environmental Prediction (NCEP) at the Space Weather Prediction Center (SWPC). SWPC operates 24/7 to monitor and forecast conditions in the space environment that affect the performance and reliability of critical technologies on Earth and in space. SWPC supports national security, transportation, power grid resilience, emergency management, and commercial space operations. SWPC is also designated as one of three ICAO Space Weather Centers, supporting international aviation.
The incumbent will support scientific data analysis and software development tasks focused on ionospheric and space weather modeling. This includes assisting in the integration of observational datasets into research and operational models, building visualization and processing tools, and supporting ongoing efforts to evaluate the value of new datasets. The role requires foundational programming and analysis skills, an interest in geophysical sciences, and the ability to contribute to team-based projects in a dynamic R2O environment.
Responsibilities:

The work will primarily include the following responsibilities:

  • Assist in the development of data preprocessing and visualization tools to support space weather forecasting and modeling.
  • Support the integration of radio occultation and GNSS-based datasets into analysis and modeling pipelines.
  • Conduct basic statistical and graphical analysis of geophysical datasets using established methods.
  • Contribute to documentation of tools, data assessments, and experiments conducted by the team.
  • Collaborate with senior scientists to support software and data validation activities.

Qualifications:

  • Working knowledge of Linux environments and scripting tools (e.g., Python, Bash).
  • Familiarity with scientific data visualization and statistical analysis.
  • Strong written and oral communication skills and ability to follow technical guidance.
  • A passion for the National Weather Service mission.
  • Ability to accept assigned tasking, but also engage as a creative self-starter.
  • Driven by curiosity and willing to try new techniques and learn new skills.
  • Ability to remain flexible as projects and tasks evolve.

How To Apply:

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Responsibilities
  • Assist in the development of data preprocessing and visualization tools to support space weather forecasting and modeling.
  • Support the integration of radio occultation and GNSS-based datasets into analysis and modeling pipelines.
  • Conduct basic statistical and graphical analysis of geophysical datasets using established methods.
  • Contribute to documentation of tools, data assessments, and experiments conducted by the team.
  • Collaborate with senior scientists to support software and data validation activities
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