Laboratory Technician

We are seeking a motivated Laboratory Technician to support research on Black Spot Syndrome (BSS) and the ecologicalconsequences of parasite infections in Caribbean reef fishes. The technician will contribute to a multidisciplinary research programintegrating marine parasitology, field ecology, behavioral observations, artificial intelligence, and quantitative data analysis.

Primary responsibilities will include reviewing underwatervideos to identify fish species, quantify disease prevalence and intensity, and document fish behavior; collecting and organizingecological observations from community science platforms; and assisting in the development and validation of AI-based tools for automated fish identification and disease detection.

The technician will also participate in Caribbean field expeditions, includingSCUBA-based collection of biological specimens, environmentalsamples, and abiotic measurements. Additional responsibilities include maintaining laboratory equipment and facilities, managing and cleaning large ecological datasets, conducting statistical analyses, and assisting with the preparation of scientificmanuscripts, figures, and publications.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating aworkplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds toapply, including protected veterans and individuals with disabilities.

EBIO's disciplinary strengths include ecology, evolution,genetics, behavior, biology education research and systematics. Our research programs have relevance for global change, conservationbiology, the spread of diseases, and revealing fundamentalmechanisms underlying the structural and functional adaptations oforganisms.

Research Areas: Our faculty specialize in many fields of Ecology and Evolutionary Biology. Interested in learning more?

Visit the various research interests of our faculty.

In the Field: Our faculty, students and researchers travelthe world to conduct research in ecology and evolution. Learn moreabout their experiences and stories in our In the Fieldarticles.

• Primary responsibilities will include reviewing underwatervideos to identify fish species, quantify disease prevalence and intensity, and document fish behavior; collecting and organizingecological observations from community science platforms; and assisting in the development and validation of AI-based tools for automated fish identification and disease detection.
• The technician will also participate in Caribbean fieldexpeditions, including SCUBA-based collection of biological specimens, environmental samples, and abiotic measurements.
  
  Additional responsibilities include maintaining laboratory equipment and facilities, managing and cleaning large ecologicaldatasets, conducting statistical analyses, and assisting with the preparation of scientific manuscripts, figures, and publications.

The hiring rate for this position is $20.00 per hour.

Temporary positions at the University of Colorado are not benefits-eligible, however, all positions are eligible for paid sick leave.

Be ambitious. Be pioneering. Be Boulder.

• Education:
  
  Bachelor’s degree in marine biology, ecology,biology, environmental science, or a closely related field.
• Research
  
  Experience:
  
  At least one year of research experience in ecology, marine biology, or a related discipline, including laboratory or field-based research.
• SCUBA Certification:
  Current SCUBA certification with a minimumof 10 logged dives. Willingness to complete additional scientificdiving certifications and training as required.
• Data Management and Analysis:
  Demonstrated experience organizing, managing, cleaning, and analyzing research data.
  
  Familiarity with statistical software such as R or Python is desirable.
• Communication
  
  Skills:
  
  Strong written and verbal communication skills, including the ability to document research activities.

• The ideal candidate will have a background in marine biology,ecology, or a related field; strong organizational and data management skills; and an interest in marine disease ecology and computational approaches. Experience with R or Python, image analysis, machine learning, and scientific SCUBA diving is desirable. Training in specialized research methods may be provided.