Internship – Environmental Scientist (Hybrid)

The role – what you’ll do 
Barr is seeking an environmental scientist intern to join our Duluth, Minnesota, team. In this hybrid role, you’ll support environmental resource characterization, impact assessments, and project permitting and compliance through a blend of fieldwork and office-based tasks. Fieldwork will be fast-paced and may include assisting with wetland delineations, plant or habitat inventories, functional assessments, GPS data collection, and other field studies. Office work may include desktop reviews of land use/land cover and protected species, document preparation, and permit application assistance. Training and supervision will be provided.   

Your impact – key responsibilities

• Field surveys and data collection: assist with wetland delineations, habitat and plant inventories, functional assessments, GPS data collection, and other field studies in varied terrain and conditions.

• Desktop reviews and analysis: conduct land use and land cover and protected species desktop reviews; compile findings to support environmental assessments and permitting.

• Permitting and compliance support: prepare sections of permit applications and related documentation; contribute to compliance tracking and submittals under supervision.

• Documentation and quality: maintain accurate field notes, data logs, and photo records; help ensure data integrity and completeness for project deliverables.

• Collaboration and communication: work closely with multidisciplinary teams; communicate progress and findings effectively to project team members and, as appropriate, clients.

• Travel and schedule flexibility: participate in short-term, out-of-town assignments; adapt to varying schedules and project priorities, including occasional extended hours.

About the opportunity 

• Timeline: this internship opportunity runs for approximately three months starting in the spring of 2026. Start and end dates are flexible to accommodate class schedules, finals, and holidays. 

• Compensation: anticipated range of $22.66–$25.78/hour. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. This position is classified as non-exempt (hourly) under the Fair Labor Standards Act.

• Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position is based out of Barr’s Duluth, Minnesota, office. 

• Travel expectation: willing to travel and periodically adjust personal schedule to meet project needs. 

• Work environment: able to work in remote locations that have rough terrain typical of unmaintained forestland, construction sites with limited accessibility, moving machinery, and other conditions typical of industrial facilities. Candidates must be able to perform job duties with or without reasonable accommodation.

About you – required core competencies 

• Education: pursuing a bachelor’s or master’s degree in environmental science/studies/policy, ecology, natural resources management, biology, botany, or a related natural resources field.

• Demonstrated interest in natural resources management. 

• Completed or enrolled in coursework such as biology, chemistry, ecology, environmental science, or natural resource management.

• Must have a minimum of one full-time semester of undergraduate or graduate coursework remaining after the internship. 

• Software: strong computer skills and proficiency with Microsoft Windows OS and Microsoft Office software.

• Working style: strong interpersonal, oral, and written communication skills. Detail-oriented, thorough, and organized approach. 

• Driver’s license: possession of a current, valid driver’s license and acceptable driving record. 

• Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.

Helpful additional experience (not required) 

• Prior field experience in natural resources (e.g., assisting with wetland delineations, vegetation surveys, or GPS data collection).

• Familiarity with ESRI mobile data collection tools or similar field apps. 

#LI-Hybrid 

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