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Water Resources Scientist/Aquatic Ecologist – Mid-level
| Company | Barr |
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| Location | Denver, CO, USA |
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| Salary | $90000 – $105000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Bachelor’s degree in aquatic ecology, limnology, biology, water resources science, environmental science, or related field
- Five years of relevant professional experience in lake and stream management, water quality, fisheries, and/or aquatic ecology
- Applied experience with topics that include lake management (aquatic plants, algae, nutrient cycling, and other aspects of lake ecology); aquatic invasive species management, fisheries management and hydrology; water quality analysis; water quality modeling; and/or regulatory requirements
- Experience with developing proposals, task and/or project management, and/or client engagement
- Strong interpersonal, oral, and written communication skills and the ability to communicate effectively with project team members, regulators, and clients
- Experience with Microsoft Office (Word, Excel, PowerPoint, Teams), ArcGIS Pro, and water quality modeling software (e.g., P8, WASP, BATHTUB, QUAL, HSPF, etc.)
- Ability and willingness to travel to client locations and other Barr offices on occasion
- 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.
Responsibilities
- Hydrologic and water quality analysis of stormwater, stream, pond, wetland, lake, and reservoir management in urban and/or rural settings; water monitoring techniques; aquatic ecology and aquatic plant management; and statistical analysis of water quality data.
- Preparation of TMDLs, WRAPs, and other technical reports.
- Assist in the planning, coordinating, and executing of projects. Help ensure project milestones are met and provide regular updates to project managers and clients.
- Present at public forums, client meetings, and conferences.
- Develop and maintain client relationships and work with permitting agencies and public officials.
Preferred Qualifications
- Familiarity with programming languages that are commonly used for statistical analysis (e.g., R, Python)
- Familiarity with ArcGIS Pro or other Esri products
- Experience with business development
