Associate Scientific Programmer, Analyst

Science Systems and Applications, Inc (SSAI)

Associate Scientific Programmer/Analyst at SSAI leveraging waveform sensor data for NASA. Enhancing data precision and improving operations at Goddard Space Flight Center.

Posted 7/28/2026full-timeLanham • Maryland • 🇺🇸 United StatesJuniorMid-Level💰 $68,000 - $74,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in scientific programming and data analysis, particularly with waveform lidar data and sensor calibration. Proficient in developing data visualizations and troubleshooting data quality issues in interdisciplinary research settings.

Highest-signal resume keywords

Scientific ProgrammingPython ProgrammingSignal ProcessingData VisualizationAirborne Remote Sensing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Scientific ProgrammingPythonIDLMATLABSignal ProcessingData AnalysisData CalibrationData ValidationData TroubleshootingWaveform Lidar

Soft Skills

Team-OrientedInterdisciplinary Collaboration

Industry Keywords

Physical ScienceAirborne Remote Sensing InstrumentsField Campaign DataMulti-Sensor Data IntegrationEarth Science Applications

Tech Stack

Tools & technologies

AWSCloudLinuxPythonRDBMSRemote SensingSQLSubversionUnix

About the role

Key responsibilities & impact

Leverage data from waveform sensors to enhance operations and improve data precision
System enhancements to real-time user interfaces
Developing and enhancing approaches for waveform lidar data analysis
Calibrate/validate air and spaceborne sensor data
Troubleshoot data processing and quality issues

Requirements

What you’ll need

Bachelor's degree (B.S.) in a Physical Science discipline
1 to 2 years of relevant experience in scientific programming
Proficiency in scientific programming languages such as Python, IDL, MATLAB, or similar tools
Experience with signal processing for space or earth science applications
Experience developing data visualizations to communicate results to scientific audiences
Familiarity with airborne remote sensing instruments, field campaign data, or multi-sensor data integration
Enthusiasm for interdisciplinary, team-oriented research
US Permanent Residency or US Citizenship required.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Science Systems and Applications, Inc (SSAI) Website LinkedIn All Job Openings 501 - 1000 employees Founded 1977 🏭 Manufacturing 💼 Consulting 📦 Logistics Manufacturing
Consulting
Logistics Science Systems and Applications, Inc. (SSAI) is a leading provider of science, engineering, and technology solutions for customers who seek new frontiers. With over 47 years of experience, SSAI aligns with the vision and goals of its clients, providing excellent research and technical support. They support pioneers in science and engineering, including NASA and NOAA, and have made significant contributions to over 150 Earth and space science missions. SSAI's services are grounded in their passion for research and innovative solutions, provided by expert scientists, engineers, and IT professionals committed to meeting the unique needs of each client. Associate Scientific Programmer, Analyst 🔥 1 hour ago 🏢 Lanham – Onsite 💵 $68k - $74k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 🖥 Software Engineer Python Remote Sensing Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Leverage data from waveform sensors to enhance operations and improve data precision
System enhancements to real-time user interfaces
Developing and enhancing approaches for waveform lidar data analysis
Calibrate/validate air and spaceborne sensor data
Troubleshoot data processing and quality issues 🎯 Requirements
Bachelor's degree (B.S.) in a Physical Science discipline
1 to 2 years of relevant experience in scientific programming
Proficiency in scientific programming languages such as Python, IDL, MATLAB, or similar tools
Experience with signal processing for space or earth science applications
Experience developing data visualizations to communicate results to scientific audiences
Familiarity with airborne remote sensing instruments, field campaign data, or multi-sensor data integration
Enthusiasm for interdisciplinary, team-oriented research
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