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Remote Sensing Scientist - NOAA Commercial Data Program

ERT, Inc.
vision insurance, paid time off, tuition reimbursement, 401(k), retirement plan
United States, Maryland, College Park
5830 University Research Court (Show on map)
Jan 30, 2026

Job Description
The NOAA Commercial Data Program (CDP) assesses and acquires space-based environmental observation data from commercial sources to enhance NOAA's operational forecasting and research capabilities. The Remote Sensing Scientist will support instrument performance evaluation, calibration/validation, and value-assessment analyses of satellite remote sensing data, using both physics-based and AI/ML methodologies to ensure data quality and utility for NOAA operational systems.

Key Responsibilities:

Support for NOAA Commercial Data Program:

  • Conduct rigorous processing and evaluation of commercial microwave and infrared satellite observations to determine whether Level-1 datasets meet requirements for calibration accuracy, stability, instrument noise, and inter-channel noise correlations.
  • Utilize and contribute to radiative transfer modeling using the Community Radiative Transfer Model (CRTM) and similar tools in both research and operational contexts.

Data Validation and Quality Control:

  • Implement validation procedures to verify the accuracy and reliability of commercial, partner, and NOAA operational observational data.
  • Ensure consistency, integrity, and readiness of observational datasets for assimilation and distribution to users, adhering to standards for experimental and operational data releases.

Algorithm Development:

  • Lead development of advanced machine learning and artificial intelligence algorithms for geophysical performance assessment of commercial, partner, and NOAA operational infrared and microwave satellite observations.
  • Perform information content and sensitivity analyses to ensure algorithms and datasets meet theoretical and operational expectations.

Scientific Communication and Collaboration:

  • Prepare scientific documentation, technical reports, and presentations for internal project reviews, NOAA leadership, and external scientific forums.
  • Collaborate with multidisciplinary teams including remote sensing experts, data assimilation specialists, and software engineers.

Requirements

  • Extensive experience performing data calibration, quality assessment, and calibration/validation evaluation of commercial and NOAA operational sensor Level-1 datasets.
  • Minimum 6+ years of experience with advanced numerical methods, AI/ML technologies, and neural network application to large, multi-year datasets, including hands-on use of libraries such as TensorFlow, Keras, and/or PyTorch.
  • 6+ years of applied experience in data assimilation, numerical weather prediction, and remote sensing, with emphasis on microwave and infrared sounder systems.
  • Proficiency in: Fortran 90+, C/C++, Python, IDL, Matlab, and Linux shell scripting.
  • Experience with Linux, Unix, high performance computing (HPC) environments and cloud computing platforms (e.g., AWS, GCP, Azure).
  • Familiarity with version control and configuration management tools (e.g., GitHub/GitLab) in an operational software team environment.
  • Ability to clearly and effectively communicate complex technical concepts in meetings, written reports, and scientific conferences.
  • Demonstrated capability to work collaboratively with project leads, program managers, and cross-disciplinary
  • Must be a US Citizen or Permanent Resident who has lived in the United States at least 3 out of the last 5 years and be able to pass a background investigation to obtain a security badge to access applicable government facilities and systems.

Education
Ph.D. in Atmospheric Science, Computer Science, Information Systems, Software Engineering, Remote Sensing, or a related quantitative discipline.

Location
Work is located in College Park, MD with flexile work schedules permitted.

Compensation
The salary range for this role is $83,000 - $239,000/year. This range is a good faith estimate based on similar roles across the organization. ERT uses several factors when extending an offer, including but not limited to, the position's scope and expected duties, a candidate's work experience, education/training, and key skills.

Benefits
All full-time employees are eligible to participate in our flexible benefits package, which includes:

  • Medical, Rx, Dental, and Vision Insurance
  • 401(k) retirement plan with company-matching
  • 11 Paid Federal Government Holidays
  • Paid Time Off (PTO)
  • Basic Life & Supplemental Life
  • Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Employee assistance program (EAP)
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Professional Membership Reimbursement
  • Employee Referral Program
  • Competitive compensation plan
  • Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company's performance
  • Publication and Conference Presentation Awards with bonuses

ERT is a VEVRAA Federal Contractor and Equal Opportunity employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.

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