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Remote Crop Science Jobs (NOW HIRING)

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ... Bachelor's degree in geography, GIS, remote sensing, environmental/natural sciences, or related ...

Syngenta Group

We unite advanced science with digital solutions to develop intelligent crop protection that ... Perform annual data analysis for remote employees and report trends and develop individualized ...

Syngenta

Senior Software Engineer

Durham, NC · Remote

$118.40K - $156.10K/yr

Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more ... The ideal candidate will thrive in our remote work environment, architecting scalable software ...

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$11K

$58.1K

$83K

How much do remote crop science jobs pay per year?

As of May 31, 2026, the average yearly pay for remote crop science in the United States is $58,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $69,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Crop Scientist, and why are they important?

To thrive as a Remote Crop Scientist, you need expertise in plant biology, agronomy, and data analysis, often supported by a degree in crop science or a related field. Familiarity with remote sensing technologies, GIS software, and data interpretation tools is typically required. Strong problem-solving, communication, and collaboration skills help you work effectively with interdisciplinary teams and stakeholders. These skills are essential for accurately assessing crop health, optimizing yields, and contributing to sustainable agricultural practices remotely.

What are some common challenges faced by remote crop science professionals, and how can they be addressed?

Remote crop science professionals often encounter challenges related to field data collection, team communication, and technology integration. Working away from physical research sites can make it harder to monitor crops in real time, but leveraging remote sensing tools and regular virtual check-ins with local field staff can help mitigate this. Staying proactive in communication and using collaborative platforms ensures alignment with agronomists, farmers, and researchers. Additionally, ongoing training in digital agriculture tools is essential to keep up with evolving technology and maintain data accuracy.

What is remote crop science?

Remote crop science is a field that uses technology such as remote sensing, data analysis, and digital tools to monitor, manage, and improve crop production from a distance. Professionals in this area analyze satellite imagery, drone data, and environmental sensors to assess crop health, predict yields, and optimize farming practices without being physically present in the fields. This approach helps farmers make informed decisions, increase yields, and use resources more efficiently. Remote crop science is particularly valuable for large-scale agriculture, precision farming, and regions where on-site visits are challenging.
More about Remote Crop Science jobs
What cities are hiring for Remote Crop Science jobs? Cities with the most Remote Crop Science job openings:
What are the most commonly searched types of Crop Science jobs? The most popular types of Crop Science jobs are:
What states have the most Remote Crop Science jobs? States with the most job openings for Remote Crop Science jobs include:
What job categories do people searching Remote Crop Science jobs look for? The top searched job categories for Remote Crop Science jobs are:
Remote Crop Science jobs near you
Infographic showing various Remote Crop Science job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 1% Physical, and 99% Remote job distribution, with an average salary of $58,126 per year, or $27.9 per hour.

Geospatial Analyst

asrcfh

Reston, VA • On-site, Remote

Other

Posted 8 days ago

Job description

ASRC Federal Data Networx LLC is seeking a full-time Geospatial Analyst to join our DC-based team and provide agricultural and natural resource analysis support for our government customers.  The successful candidate will play a central role in analyzing agricultural and natural resource data, producing actionable insights, and supporting programs that track global crop conditions and food supply. We’re looking for someone who combines strong technical skills with curiosity, adaptability, and a collaborative mindset.

Work Location: Hybrid in DC

Key Role Responsibilities:

  • Collect, clean, and analyze datasets such as satellite imagery, weather data, agricultural surveys, and field observations
  • Apply advanced remote sensing methods and GIS technologies to support crop production mapping and natural resource modeling
  • Use machine learning approaches for remote sensing and agricultural analytics
  • Produce maps, visualizations, and technical reports—often on tight, recurring deadlines
  • Present findings, support stakeholder engagement, and deliver technical training when needed
  • Stay current on geospatial technologies, industry trends, and analytical methods

Basic Qualifications:

  • Minimum of 2-4 years’ experience in in geography, GIS, or remote sensing with substantive coursework in geospatial analysis and modeling.
  • Bachelor’s degree in geography, GIS, remote sensing, environmental/natural sciences, or related field plus at least 2 years of relevant experience. A degree in another discipline plus at least 3 years of experience in geography, GIS, or remote sensing with substantive coursework in geospatial analysis and modeling.
  • 6+ years related experience in geospatial analysis and modeling in the absence of a degree.
  • Strong foundation in remote sensing and geospatial workflows (vector and raster analysis, modeling, land cover mapping).
  • Proficiency with geospatial tools such as:
    • ArcGIS Pro
    • Google Earth Engine
    • Jupyter Notebooks, Google Colab, or R Studio
  • Basic programming experience in Python, JavaScript, or SQL
  • Excellent written and verbal communication skills and comfort working in a team-based environment

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