Information Manager | Arctic LTER

Long Term Ecological Research; Campbell (CA); Hybrid; USD 60,000 - 80,000; Full time

Benefits offered by this job

Hybrid work options

Fieldwork experience opportunities

Job summary

An ecological research organization is seeking a full-time Information Manager to handle long-term data management, including processing and archiving ecological data. The ideal candidate will have a degree in Information Science or a related field and must be proficient in R, with demonstrated experience in statistical analysis and data management. The role may include summer fieldwork at remote sites, necessitating readiness for challenging conditions and collaboration with diverse teams. Excellent communication skills are a must.

Qualifications

• Bachelor's or Master's degree in Information Science, Environmental Science, or related field.
• Experience in data management within research, laboratory, or field settings.
• Experience with large datasets and collaboration across teams.

Responsibilities

• Process, maintain, and archive long-term ecological data.
• Work in an analytical lab setting to generate and synthesize data.
• Possibility of summer fieldwork at a remote arctic research station.

Skills

Proficiency with data repositories

Database management

Version control with GitHub

Statistical analysis in R

Excellent communication skills

Detail-oriented

Education

Bachelor’s or Master’s degree in Information Science or related field

Tools

Zotero

R

Job description

Opportunity: Information Manager | Arctic LTER

Please submit a cover letter, resume and contact information for references (address, telephone, and email address). Additionally, please provide examples of R code, and GitHub data products.

Job Summary

The Arctic LTER is seeking a full-time employee to process, maintain, and archive long-term ecological data. In addition to information management responsibilities, we are seeking someone to work in an analytical lab setting to generate and synthesize data. There is also the possibility of summer field work at a remote arctic research station to deploy and maintain a network of dataloggers.

Desired Qualifications*

Education & Experience

• Bachelor’s or Master’s degree in Information Science, Environmental Science, Computer Science, Data Management, or a related field.
• Previous experience with data management in a research, laboratory, or field setting, preferably in environmental sciences or related disciplines.
• Demonstrated experience working with large, complex datasets and collaborating across multidisciplinary teams.

Technical Skills

• Proficiency with data repositories including dataset formatting and uploads.
• Database management and cloud storage experience — managing, updating, and archiving datasets both online and locally.
• Version control experience, especially with GitHub; ability to maintain code repositories (R, Quarto, modeling code).
• Bibliographic management using Zotero or similar tools.
• Website maintenance — updating links, content, and basic troubleshooting (experience with content management systems is a bonus).
• Familiarity with analytical laboratory instruments (e.g., for water quality analysis).
• Statistical and data analysis skills — proficient in R (required for maintaining R scripts), plus experience with creating and processing large chemical/environmental datasets.
• Experience with dataloggers (Campbell, etc.), radio communication equipment, and automated data collection systems.
• Knowledge of environmental sample collection, processing, and archiving protocols.
• Strong ability to train and support colleagues in data management best practices.
• Excellent written and verbal communication skills; able to document and synthesize procedures, datasets, metadata, and protocols.
• Experience attending and contributing to network meetings (example: LTER information manager meetings) and community activities.
• Exceptional attention to detail for maintaining personnel lists, datasets, bibliographies, and project-specific data.
• Skilled at managing multiple tasks and priorities (e.g., ongoing data uploads, updating legacy datasets, field and lab support).
• Problem-solving abilities; proactive in troubleshooting instrument or data issues.

Other Considerations

• Fieldwork readiness: Willingness and ability to travel to remote field stations (Toolik Field Station, Alaska) and work in challenging conditions.
• Capacity to work both independently and collaboratively within a diverse and geographically distributed team.
• Commitment to supporting the mission and values of the Arctic-LTER and the Long-Term Ecological Research (LTER) network.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

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Application Deadline

Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.