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August 25, 2015

Job Opening: Maryland DNR Natural Resources Biologist

Maryland Department of Natural Resources, Eyes on the Bay monitoring program is searching for a Natural Resources Biologist IV to help manage, analyze, and communicate tidal water quality data. Click here to read the announcement. 

This is a position specific recruitment for the Department of Natural Resources, Resource Assessment Service Tidewater- Annapolis, MD.  This recruitment will be used to fill current and future vacancies for this position/function only.  The resulting eligible list will be maintained for one year.  Persons interested in future vacancies within this classification must re-apply.
The Department of Natural Resources, Tidewater Ecosystem Assessment (TEA) Division in Annapolis, Maryland, is currently accepting applications for a Natural Resources Biologist IV. The position provides analytical and technical support to the Tidewater Ecosystem Assessment (TEA) division for its tidal and water quality habitat assessment projects. TEA is responsible for the collection, analyses and communication of large environmental and spatial datasets to support decision making for Chesapeake and Coastal Bays restoration efforts. The selected candidate will compile, analyze and interpret technical data to provide recommendations for resource management. The incumbent will also assist in the design of water quality surveys, preparation of technical reports or other communication products (, and may assist in grant applications or contract negotiations. The selected candidate is expected to lead and train other employees in technical skills related to water quality assessment
The position focuses on four major skill sets: 1) Ability to work within a team of biologists, statisticians and natural resource managers to help create products that support the mission of water quality criteria assessment, preparation of grant deliverables, and database-driven communication and decision making tools, 2) Ability to work with large relational databases and understand the meaning of the data and how it is most appropriately quality assured and analyzed, 3) possess effective communication skills for technical, scientific and public audiences, and 4) possess a high level of attention to detail.