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Radar Remote Sensing Scientist Jobs (NOW HIRING)

STR

Senior Scientist - Radar Signal Processing

Boston, MA · On-site +1

$139K - $170K/yr

About the Team The Maritime Domain Applications (MDA) Group is seeking a Radar Signal Processing ... Develop system concepts and signal processing algorithms for remote sensing * Work as part of a ...

STR

Senior Scientist - Radar Signal Processing

Woburn, MA · On-site +1

$139K - $170K/yr

About the Team The Maritime Domain Applications (MDA) Group is seeking a Radar Signal Processing ... Develop system concepts and signal processing algorithms for remote sensing * Work as part of a ...

Umbra

Senior Program Manager - Remote Sensing

Arlington, VA · On-site +1

$133K - $134K/yr

... Radar (SAR) constellation remains the most capable on the market. We transform satellite data into ... S. national security and intelligence, support disaster response, and advance scientific discovery.

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How much do radar remote sensing scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for radar remote sensing scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What does a radar remote sensing scientist do?

A Radar Remote Sensing Scientist specializes in the use of radar technology to collect, analyze, and interpret data about the Earth's surface and atmosphere. They design experiments, develop algorithms, and process radar imagery to monitor environmental changes, map terrain, or support disaster response. Their work often involves collaborating with other scientists, using advanced software tools, and publishing their findings in research journals. These scientists play a crucial role in understanding natural phenomena and supporting applications in agriculture, forestry, hydrology, and urban planning.

What are the key skills and qualifications needed to thrive as a radar remote sensing scientist?

A Radar Remote Sensing Scientist typically requires an advanced degree in remote sensing, geosciences, or a related field, along with a strong background in radar theory and data analysis. Proficiency with programming languages (such as Python or MATLAB), remote sensing software (like ENVI or SNAP), and experience handling large geospatial datasets are essential. Analytical thinking, problem-solving skills, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These competencies are crucial for developing accurate remote sensing applications and translating complex radar data into actionable insights.

How does a radar remote sensing scientist typically collaborate with interdisciplinary teams during project development?

Radar Remote Sensing Scientists often work closely with interdisciplinary teams that include data analysts, software engineers, geospatial specialists, and project managers. Collaboration usually involves integrating radar data with other remote sensing sources, developing algorithms, and interpreting results to address specific research or application goals. Effective communication is essential, as scientists must translate complex technical findings for stakeholders from non-technical backgrounds. Regular team meetings, shared project management tools, and joint fieldwork are common practices, fostering a dynamic and solution-focused work environment.

What is the difference between Radar Remote Sensing Scientist vs Satellite Data Analyst?

AspectRadar Remote Sensing ScientistSatellite Data Analyst
Required CredentialsMaster's or Ph.D. in Geophysics, Remote Sensing, or related fieldsBachelor's or higher in Data Science, Remote Sensing, or related fields
Work EnvironmentResearch labs, government agencies, academiaData centers, government agencies, private companies
Industry UsageEarth observation, environmental monitoring, defenseClimate studies, resource management, urban planning

Radar Remote Sensing Scientists focus on developing and applying radar technologies to collect and analyze remote sensing data, often working on sensor design and data interpretation. Satellite Data Analysts primarily process and interpret satellite imagery and data for various applications. While both roles involve remote sensing data, Radar Remote Sensing Scientists are more involved in sensor technology and data acquisition, whereas Satellite Data Analysts focus on data processing and analysis for decision-making.

What are popular job titles related to Radar Remote Sensing Scientist jobs?

For Radar Remote Sensing Scientist jobs, the most frequently searched job titles are:

Infographic showing various Radar Remote Sensing Scientist job openings in the United States as of September 2026, with employment types broken down into 4% Internship, 2% As Needed, 87% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Barrick Exploration - Remote Sensing Lead

Salt Lake City, UT • On-site, Remote

Barrick Gold Corporation
Coal, Metals and Minerals Mining • 10K+ employees
Learn more about Barrick Gold Corporationexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Barrick Gold rating

7.8

Company rating: 7.8 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description


Position Description:
Would you like to have a career with a collaborative, diverse, and dynamic mining company? We have an exciting opportunity for you!
Our vision is to be the world's most valued gold mining business by finding, developing, and operating the best assets with the best people. Our Exploration division is growing, and we are looking for a Remote Sensing Lead to join our team! The Remote Sensing Lead is responsible for designing, implementing, and advancing the use of satellite, airborne, and handheld hyperspectral data with geospatial information to support the discovery and evaluation of gold and copper deposits. This role provides technical leadership in acquisition, processing, interpretation, and integration of remote sensing datasets to identify prospective targets, reduce exploration risk, and enhance decision-making across exploration programs. Working closely with geology, geochemistry, geophysics, and field teams, the Remote Sensing Lead ensures that remote sensing insights are translated into actionable exploration decisions and strategies that accelerate target generation, optimize field campaigns, and support sustainable, cost-effective mineral exploration.
At Barrick, our vision is to be the world's most valued gold mining business by finding, developing, and operating the best assets with the best people. We are committed to a safe work environment sending every person home safe and healthy every day and leaving a sustainable legacy on our host communities.
Responsibilities:
  • Lead the strategy, selection, and application of remote sensing/hyperspectral technologies to support gold and copper exploration programs across the North American Region with a focus on gold and copper opportunities.
  • Acquire, process, and interpret multispectral, hyperspectral, radar (SAR), LiDAR, and DEM datasets for geological, structural, alteration/mineralization, till and regolith mapping.
  • Develop and implement workflows for alteration mineral mapping (e.g., white mica, phyllosilicates, iron oxides, clays, carbonates, sulfates, etc.).
  • Provide technical support in the interpretation of products derived from remote sensing and handheld tools for the evaluation of drilling targets.
  • Provide technical leadership in GIS and spatial data management, ensuring data quality, consistency, and effective visualization for exploration teams and management.
  • Support regional and district-scale prospectivity analyses to identify new opportunities and prioritize exploration portfolios.
  • Assist in fieldwork to validate hypotheses generated by predictive models
  • Guide field validation programs by translating remote sensing interpretations into actionable mapping and sampling strategies.
  • Responsible for field/hand sample hyperspectral data collection/solutions
  • Collaborate closely with regional and team geologists, geochemists, geophysicists, data scientists, and external consultants to ensure multidisciplinary integration and knowledge transfer.
  • Evaluate and implement emerging remote sensing technologies, analytics, and machine learning approaches to improve targeting efficiency and confidence.
  • Prepare technical reports, maps, and presentations that communicate results, uncertainties, and recommendations to both technical and non-technical stakeholders.
  • Mentor the exploration team, building internal capability and best practices across the region.
  • Comply with and enforce the Health and Safety System, promoting a culture of prevention based on visible, committed leadership.
  • Lead the strategy, selection, and application of remote sensing/hyperspectral technologies to support gold and copper exploration programs across the North American Region with a focus on gold and copper opportunities.
  • Acquire, process, and interpret multispectral, hyperspectral, radar (SAR), LiDAR, and DEM datasets for geological, structural, alteration/mineralization, till and regolith mapping.
  • Develop and implement workflows for alteration mineral mapping (e.g., white mica, phyllosilicates, iron oxides, clays, carbonates, sulfates, etc.).
  • Provide technical support in the interpretation of products derived from remote sensing and handheld tools for the evaluation of drilling targets.
  • Provide technical leadership in GIS and spatial data management, ensuring data quality, consistency, and effective visualization for exploration teams and management.
  • Support regional and district-scale prospectivity analyses to identify new opportunities and prioritize exploration portfolios.
  • Assist in fieldwork to validate hypotheses generated by predictive models
  • Guide field validation programs by translating remote sensing interpretations into actionable mapping and sampling strategies.
  • Responsible for field/hand sample hyperspectral data collection/solutions
  • Collaborate closely with regional and team geologists, geochemists, geophysicists, data scientists, and external consultants to ensure multidisciplinary integration and knowledge transfer.
  • Evaluate and implement emerging remote sensing technologies, analytics, and machine learning approaches to improve targeting efficiency and confidence.
  • Prepare technical reports, maps, and presentations that communicate results, uncertainties, and recommendations to both technical and non-technical stakeholders.
  • Mentor the exploration team, building internal capability and best practices across the region.
  • Comply with and enforce the Health and Safety System, promoting a culture of prevention based on visible, committed leadership.
  • Comply with and enforce the provisions of the Code of Conduct, Anti-Bribery and Anti-Corruption Policy, Barrick's Human Rights Policy and the provisions of the legislation, especially the established processes regarding Conflicts of Interest, links and interactions with government officials, payments to government officials/entities, Vendor Onboarding and report any situation related to non-compliance with such instruments.
  • Comply with and enforce the policies and procedures of the Environmental Management System, as well as the commitments assumed by the Company in environmental matters; ensuring a culture of care for the Environment.
  • Comply with and enforce the policies and procedures of Community Relations, promoting respectful treatment towards local communities, ensuring a Culture of Community Development.

Qualifications:
  • Academic degree(s) in Geosciences (Geology, Geophysics, Geochemistry, Geography, Cartography), Remote Sensing, Geospatial Science, Environmental Science, or related field required
  • Experience of at least 3 years[MN1] [LS2] in leveraging remote sensing and hyperspectral data sets to gold and copper exploration tasks. Analysis of remote sensing and hyperspectral data to geospatial and geological information, preferably for mineral exploration and/or mining projects preferred
  • Proven experience with remote sensing data processing and analysis required
  • Proficiency with remote sensing software and tools (e.g., ENVI, ERDAS Imagine) required
  • Familiarity with multi- and hyperspectral satellite imagery (Sentinel, Landsat, ASTER, EnMap, etc.) and spectral analysis techniques preferred
  • Proficiency in programming languages such as Python or R and geospatial analysis platforms (ArcGIS, QGIS) preferred
  • Knowledge of Machine Learning and/or application of artificial intelligence to hyperspectral data sets preferred
  • Strong understanding of image processing, data analysis, and geospatial technologies preferred
  • Experience with GIS and spatial analysis techniques required
  • Excellent analytical and communication skills required
  • Ability to work collaboratively with interdisciplinary teams required
  • Alignment to Barrick DNA required
  • Orientation to continuous learning required
  • High motivation for the achievement of objectives and especially for the achievement of discoveries required
  • Strong analytical, communication, and interdisciplinary collaboration skills required
  • Travel: Availability for occasional trips to projects, based on campaign planning required

What We Can Offer You
  • A comprehensive compensation package including a competitive medical, dental, and vision plan with national provider networks, a 401k retirement plan with employer contribution, paid time off, company-sponsored medical clinics, company match share purchase program, and much more!
  • Work in a dynamic, collaborative, progressive, and high-performing team.
  • Opportunities to grow and learn with the industry colleagues are endless.
  • Access to a variety of career opportunities across the organization.
  • Barrick is committed to creating a diverse environment and is proud to be an equal opportunity employer.
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