Research Scientist – LISA Data Analysis

University of Maryland College of Education

. Develop gravitational wave data analysis algorithms for NASA’s LISA Science Ground Segment .

Posted 9/23/2026full-timeGreenbelt • Maryland • United StatesMid-LevelSenior💰 $79,600 - $98,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in gravitational wave data analysis algorithms and full-stack software development, with a strong emphasis on leadership and collaboration within interdisciplinary teams. Proven ability to develop scientific data products and mentor individuals in a research-focused environment.

Highest-signal resume keywords

Ph.D. In AstronomyAlgorithm DevelopmentFull-Stack Software DevelopmentLeadership SkillsPostdoctoral Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Gravitational Wave Data AnalysisScientific Data Analysis AlgorithmsSoftware DevelopmentData Product Development

Soft Skills

MentoringCollaboration

Industry Keywords

NASALISA Science Ground SegmentInterdisciplinary TeamsResearch CollaborationGround System Testing

About the role

Key responsibilities & impact

Develop gravitational wave data analysis algorithms for NASA’s LISA Science Ground Segment
Deploy algorithms in production systems used for ground system testing and eventually flight data
Contribute individually to NASA Science Ground Segment efforts
Mentor and provide leadership to individuals and small groups
Collaborate with researchers at GSFC, Marshall Space Flight Center, Jet Propulsion Laboratory, ESA, European institutions, and international researchers
Develop scientific data products for researchers around the globe

Requirements

What you’ll need

Ph.D. in astronomy, physics, or a related field by the date of appointment
Strong record of research in the development of algorithms for scientific data analysis
Expertise in the technical disciplines of full-stack software development
Leadership skills, including the ability to manage and contribute within interdisciplinary teams
Minimum of three years postdoctoral experience preferred
Cover letter, CV including publication list, and statement of research interests required
Three letters of reference required for shortlisted candidates

Benefits

Comp & perks

Salary and benefits are competitive, commensurate with experience and qualifications
Position renewable for up to three years upon mutual agreement and funding availability
Hybrid work arrangement (some in-person, some remote)