Research Aide, Remote Sensing, Tree Phenology

Cornell University

. Organize, manage, and process remote sensing datasets from multiple sources .

Posted 10/23/2026part-timeIthaca • New York • United StatesMid-LevelSenior💰 $23 - $24 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing and processing remote sensing datasets, including data quality control and statistical analyses. Proficient in scripting environments and geospatial data handling, with strong organizational skills to manage multiple datasets effectively.

Highest-signal resume keywords

Data Quality ControlStatistical AnalysisScripting Environment ExperienceGeospatial Data FamiliarityOrganizational Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingStatistical AnalysisData Quality ControlScripting in RScripting in PythonGeospatial Data ManagementData VisualizationData ValidationDataset OrganizationData Analysis

Soft Skills

Attention to DetailCommunication SkillsCollaborationRelationship BuildingOrganizational Skills

Tools & Technologies

Google Earth EngineField CamerasEnvironmental SensorsProject DatabasesResearch Software

Industry Keywords

Remote SensingSatellite ImageryAerial ImageryDrone ImageryRaster FormatsVector FormatsCoordinate Reference SystemsSpatial ResolutionResearch DatasetsData Repositories

Tech Stack

Tools & technologies

PythonRemote Sensing

About the role

Key responsibilities & impact

Organize, manage, and process remote sensing datasets from multiple sources
Download, assemble, and maintain research datasets
Perform data quality control and statistical analyses
Communicate and coordinate with the Principal Investigator's research group
Assist with processing and analysis of satellite, aerial, and drone imagery
Deploy, maintain, and monitor field cameras and environmental sensors
Enter, validate, and manage data within shared project databases
Prepare data summaries, reports, and visualizations
Maintain laboratory and field equipment
Order and track research supplies
Support other research-related activities advancing project objectives

Requirements

What you’ll need

A cover letter and resume are required for consideration
High school diploma and up to 2 years relevant experience or equivalent combination
Experience working with data in a scripting environment such as R, Python, or Google Earth Engine
Familiarity with geospatial data, including raster and vector formats, coordinate reference systems, and spatial resolution
Ability to acquire data from online repositories and data portals and maintain organized download records
Ability to organize, process, and quality-check large datasets, including identifying anomalies and missing records
Ability to follow and document written data-processing protocols so analyses can be reproduced
Strong organizational skills and ability to manage multiple concurrent datasets and processing tasks
Exceptional attention to detail
Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members
Associate’s degree and 3 years of relevant experience or equivalent combination is a bonus

Benefits

Comp & perks

Comprehensive health care options
Generous retirement contributions
Wellness programs
Employee discounts with local and national retail brands
Three weeks of vacation
13 holidays
Two additional floating holidays
Tuition-free Extramural Study and Employee Degree Program
Tuition aid for external education
Cornell Children's Tuition Assistance Program