Research Technician I – Data Analysis & Modeling

About the role

The Department of Atmospheric Sciences at Texas A&M University seeks a part‑time, temporary Research Technician I to support a 4.5‑month project on air‑pollution prediction using machine learning and satellite data. The role involves data processing, numerical modeling, and assisting the research team to meet project deliverables.

Key responsibilities

• Assemble and operate a numerical modeling system that incorporates machine learning and AI techniques.
• Provide logistical support for data storage and laboratory organization.
• Assist senior staff with data analysis, modeling procedures, and result interpretation.
• Support undergraduate and graduate students on their research projects.
• Participate in training and professional development sessions as required.

Required profile

• High School diploma or GED.
• At least two years of related experience.
• Strong oral and written communication abilities.
• Professional interpersonal and organizational skills.
• Ability to multitask and work cooperatively in a team environment.

Required skills

• Machine Learning
• Artificial Intelligence
• Numerical Modeling
• Data Processing
• Data Storage
• Office software proficiency

What we offer

• Hourly compensation of $15.85.
• Opportunity to work on cutting‑edge environmental research.
• Professional development and training sessions.