Marine Laboratory Technician - AI Tools & Field Research

University of Colorado Boulder; Boulder (CO); On-site; USD 23,000 - 32,000; Full time

Job summary

University of Colorado Boulder EBIO seeks a motivated Laboratory Technician to support research on marine parasitology and ecological effects of infections in Caribbean reef fishes. You will review underwater videos, quantify disease prevalence, and assist in AI-based identification tools, with field expeditions and data management duties.

The role entails SCUBA-based sample collection, data cleaning, statistical analyses, and contributing to manuscripts and figures for publication.

Qualifications

• Bachelor’s degree in marine biology, ecology, biology, environmental science, or a closely related field.
• Experience in ecology, marine biology, or related discipline including lab or field-based research.
• SCUBA certification with minimum 10 logged dives; willingness to obtain additional certifications.
• Experience organizing, cleaning, and analyzing research data; familiarity with R or Python desirable.
• Strong written and verbal communication skills, including documenting research activities.

Responsibilities

• Review underwater videos to identify fish species and quantify disease prevalence and intensity.
• Collect and organize ecological observations from community science platforms; assist AI-based tools for fish identification and disease detection.
• Participate in Caribbean field expeditions, including SCUBA-based collection of specimens and environmental samples; maintain lab equipment and large datasets.
• Assist with statistical analyses; contribute to manuscript preparation and figures for publications.

Skills

SCUBA Certification

Data management

Communication skills

Statistical software (R/Python)

Education

Bachelor's degree in marine biology, ecology, biology, environmental science, or related field

Tools

R

Python

Job description

University of Colorado Boulder EBIO seeks a motivated Laboratory Technician to support research on marine parasitology and ecological effects of infections in Caribbean reef fishes. You will review underwater videos, quantify disease prevalence, and assist in AI-based identification tools, with field expeditions and data management duties.

The role entails SCUBA-based sample collection, data cleaning, statistical analyses, and contributing to manuscripts and figures for publication.