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 proficiency in R, Python, and Google Earth Engine. Capable of performing data quality control, statistical analyses, and maintaining organized project databases while fostering collaborative relationships within research teams.

Highest-signal resume keywords

Data ManagementR ProgrammingPython ProgrammingGeospatial Data AnalysisStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality ControlStatistical AnalysisRemote SensingData ProcessingData VisualizationGeospatial DataRaster FormatsVector FormatsCoordinate Reference SystemsData Protocol Documentation

Soft Skills

Organizational SkillsAttention to DetailCommunication SkillsRelationship BuildingTeam Collaboration

Tools & Technologies

Google Earth EngineField CamerasEnvironmental SensorsProject Databases

Industry Keywords

Remote Sensing DatasetsSatellite ImageryAerial ImageryDrone ImageryResearch Activities

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 in shared project databases
Prepare data summaries, reports, and visualizations
Maintain laboratory and field equipment
Order and track research supplies
Support other research activities advancing project objectives

Requirements

What you’ll need

Cover letter and resume required
High school diploma and up to 2 years relevant experience or equivalent combination
Experience working with data in 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 for reproducible analyses
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
No visa sponsorship is available
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
No relocation assistance is available