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Astronomy Data Analysis Jobs in Virginia (NOW HIRING)

Varsity Tutors

Earth Science Tutor

Alexandria, VA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Charlottesville, VA · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

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Astronomy Data Analysis information

What is astronomy data analysis?

An Astronomy Data Analysis job involves processing and interpreting data collected from telescopes, satellites, and simulations to study celestial objects and phenomena. Professionals in this field use programming, statistical methods, and specialized software to clean, analyze, and visualize data. They may work on tasks like identifying exoplanets, studying galaxy formations, or analyzing cosmic microwave background radiation. Strong analytical skills, proficiency in programming languages like Python, and knowledge of astrophysics are typically required. These roles are found in research institutions, space agencies, and observatories.

What are the typical daily responsibilities for someone working in astronomy data analysis?

A professional in Astronomy Data Analysis typically spends their day cleaning and processing raw astronomical data, developing or applying statistical models, and interpreting the results to inform scientific research. They may write and optimize code, create visualizations to represent data findings, and troubleshoot data collection or analysis issues with teammates. Collaboration with astronomers, engineers, and data scientists is common, as is participation in research meetings to discuss progress and new discoveries. This role also frequently involves preparing reports or presentations to communicate results to both technical and non-technical audiences.

What are the key skills and qualifications needed to thrive in astronomy data analysis?

To thrive in Astronomy Data Analysis, you typically need a strong background in astronomy or physics, experience with statistical data analysis, and proficiency in programming languages like Python or R. Familiarity with specialized software such as Astropy, IRAF, or FITS file handling tools, and experience using databases or machine learning frameworks are often required. Critical thinking, problem-solving ability, and clear communication skills will help you interpret findings and work effectively with team members. These skills are crucial to accurately process large datasets, extract meaningful scientific results, and contribute to collaborative research projects.

What are the most commonly searched types of Astronomy Data Analysis jobs in Virginia?

The most popular types of Astronomy Data Analysis jobs in Virginia are:

What are popular job titles related to Astronomy Data Analysis jobs in Virginia?

For Astronomy Data Analysis jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Astronomy Data Analysis jobs in Virginia look for?

The top searched job categories for Astronomy Data Analysis jobs in Virginia are:

Astronomy Data Analysis jobs near you
Infographic showing various Astronomy Data Analysis job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Systems Engineer Expert-Level 112-121

IC-CAP LLC

Springfield, VA • On-site

Full-time

Re-posted 23 days ago

Job description

Expert Level Systems Engineers employ a multi-discipline approach to requirements engineering, solutions engineering, reliability, resiliency, services development, research & development, integration, test and evaluation, maintainability and analysis across multiple architectures at different classification levels in the NSG and DoD/IC to ensure timely and accurate GEOINT. Candidates will be required to sign additional NDAs and provide proof of OCI for performance in the PMO programs.
Duties may include:
  • Create strategic roadmaps to resolve potential gaps and manage costs
  • Provide cross-domain integration with mission partners and industry performers to ensure successful implementation and execution of KPMO technology programs
  • Manage the overall KPMO system transition process across the compendium of programs, project, pilots and initiatives
  • Collaborating with end users, create use cases for individual KPMO projects at multiple security levels
  • Maintain awareness of external (joint with mission partner) system tests and evaluate the potential impacts to PMO systems
  • Demonstrated experience in direct support to the PMO to ensure continued technical excellence in all mission areas
  • Responsible for ensuring the KPMO team is applying correct technical approaches to problem solving
  • Identify and create plans to drive optimization within KPMO
  • Assist KPMO in updates to the Portfolio Management Plan (PfMP) and Program Management Plans (PMPs)
  • Assist in the evaluation of proposed industry solutions including program reviews (SRR, PDR, CDR, etc.)
  • Identify risks, prepare and maintain a dependency matrix and provide recommendations for mitigation planning
  • Participate as an advisor in demonstrations, prototype efforts, technology risk mitigators and source selection activities
  • Produce test and transition-related inputs to the PMO Requirements Baseline
  • Define and lead studies to evaluate innovative concepts and revolutionary technologies for application to KPMO requirements including large cross-domain studies and intelligence requirement assessments
  • Determine state of the art, operational or technical feasibility to meet KPMO requirements
  • Analyze and assess special topics and prepare technical recommendations
  • Define CONOPs and metrics to evaluate algorithms
  • Develop, articulate and validate use cases; develop and execute test and training plans
  • Develop Testing & Evaluation (T&E) plans to assess the overall performance of algorithms and tools developed under NGA sponsorship
  • Demonstrated experience in defining CONOPs and metrics to evaluate algorithms
  • Ability to define targets and work with analysts on new types of targets
  • Ability to define and implement interfaces to multiple external applications facilitating construction and refinement of SSA and Space collection requests across multiple orbital regimes
  • Provide baseline requirements (RFC) support to include the full breadth of NGA and Joint (NGA-NRO) requirements coordination meetings and initiatives to transition R&D capabilities to KPMO operations
  • Demonstrated Experience supporting sensitive MP or AF SPO architectures

Education and Experience
Required:
  • Masters degree in computational mathematics + 18 YOE or PhD in computation mathematics +10 YOE in related technical or scientific fields such as engineering, physics, computational chemistry or related STEM degree
  • 18 years of technical experience is required
  • Demonstrated experience with High Performance Compute (HPC) management including current knowledge of HPC technology and applications, recent experience in obtaining ATO for an HPC system, and application of HPC concepts to Space Situational Awareness
  • Demonstrated experience implementing Multi-Level security requirements (physical and cyber), high performance astrophysics-based capacity, high performance visualization compute capacity, private controlled cloud solutions ,and AI compute and store
  • Experience dealing with data and data sources that exist at multiple classification levels and integrating that data with computation processes that will generate additional data requiring multi-level protections
  • Experience protecting data and implementing controls such as CONMON, MAC, CAD, ABAC, RBAC, RiBAC, PKI, SSO
  • Experience with cross domain solutions
  • Demonstrated experience employing analytics and quantifiable, physics based metric models for data analysis
  • Experience with data fusion models that assess confidence in data accumulated from multiple sources
  • Demonstrated experience with NRO/SAO or AF SPO offices

Desired:
  • Demonstrated experience with commercial visualization tools such as RemoteView, ENVI, MATLAB and SOCET GXP
  • Demonstrate experience with ANSI/EIA 632: Processes for Engineering Systems
  • Demonstrate experience with IEEE 1220: Standard for Application and Management of Systems Engineering
  • Demonstrate experience with IEEE 24765:2017 - Systems and Software Engineering - Software Life Cycle Processes
  • Demonstrate experience with ISO/IEC/IEEE 12207:2017 - Systems and Software Engineering - Software Life Cycle Processes
  • Demonstrate experience with ISO/IEC 15288: Systems Engineering System Life Cycle Processes

Security Clearance:
  • Active TS/SCI Clearance and the willingness to sit for a CI polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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