Wildlife Camera Trap Data Analyst (Hybrid)

University of Michigan; Flint (MI); Hybrid; USD 16,531,000 - 24,797,000; Part time

Job summary

The University of Michigan-Flint is seeking an undergraduate student to review and classify wildlife images, maintain databases, and support ongoing long-term wildlife ecology research across northern Michigan. You will work with computer-based tools to identify species, manage data with accuracy, and collaborate with a research team while meeting deadlines in a hybrid work setting.

Required coursework in biology, data management skills, and enthusiasm for wildlife research will help you succeed

Qualifications

• Currently enrolled undergraduate student at the University of Michigan-Flint.
• Completed BIO 327 and two of the courses: BIO 423, BIO 480, BIO 487, BIO 421, BIO 459, BIO 460, or BIO 446.
• Experience using Google Sheets for data entry, organization, and management.
• Ability to learn and effectively use web-based applications and wildlife image classification software.
• Strong attention to detail and commitment to accurate, thorough data management.
• Ability to work independently, manage assigned responsibilities, and demonstrate initiative as a self-directed learner.
• Enthusiasm for wildlife research, species identification, and wildlife ecology.

Responsibilities

• Review and classify camera trap images to identify wildlife species, including mammals and birds native to Michigan, using established camera trap software and digital classification tools.
• Maintain, organize, and update wildlife observation databases to ensure data accuracy, consistency, completeness, and accessibility.
• Assist with ongoing, long-term research examining wildlife responses to silvicultural practices in northern hardwood forests across northern Michigan.
• Independently manage assigned research tasks, meet project deadlines, and follow established data management and research protocols.
• Collaborate with the research team to support data collection, organization, and reporting for wildlife ecology research.

Skills

Data management

Wildlife species identification

Self-directed learning

Attention to detail

Enthusiasm for wildlife research

Education

BIO 327

BIO 423

Undergraduate student - University of Michigan-Flint

Tools

Wildlife Insights

Wildlife image classification software

Google Sheets

Job description

The University of Michigan-Flint is seeking an undergraduate student to review and classify wildlife images, maintain databases, and support ongoing long-term wildlife ecology research across northern Michigan. You will work with computer-based tools to identify species, manage data with accuracy, and collaborate with a research team while meeting deadlines in a hybrid work setting.

Required coursework in biology, data management skills, and enthusiasm for wildlife research will help you succeed