Scientific Programmer – Waveform Lidar & Airborne Data

Jobtailor; Lanham (MD); On-site; USD 65,000 - 95,000; Full time

Job summary

Jobtailor is seeking a motivated candidate to apply waveform lidar data analysis and scientific programming to real-world geoscience problems. The role focuses on sensor calibration, data visualization, and robust data quality across interdisciplinary projects.

The ideal candidate has 1–2 years of experience, strong skills in Python/IDL/MATLAB, and a collaborative mindset for working with airborne remote sensing and field campaign data.

Qualifications

• Bachelor's degree in a Physical Science discipline.
• 1 to 2 years of relevant experience in scientific programming.
• Proficiency in 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.
• US Permanent Residency or US Citizenship required.
• Enthusiasm for interdisciplinary, team-oriented research.

Responsibilities

• 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

Skills

Scientific Programming

Python

IDL

MATLAB

Signal Processing

Data Visualization

Data Analysis

Data Calibration

Data Validation

Data Troubleshooting

Waveform Lidar

Team Collaboration

Education

Bachelor's degree in Physical Science

Tools

IDL

MATLAB

Job description

Jobtailor is seeking a motivated candidate to apply waveform lidar data analysis and scientific programming to real-world geoscience problems. The role focuses on sensor calibration, data visualization, and robust data quality across interdisciplinary projects.

The ideal candidate has 1–2 years of experience, strong skills in Python/IDL/MATLAB, and a collaborative mindset for working with airborne remote sensing and field campaign data.