Colorado State University Veterinary Diagnostic Laboratories (VDL) needs a Backend Services Developer to work with the National Park Service, Biological Resources Division, and their partners to develop an enterprise-level application for managing pesticide and biocontrol use.
Requirements
- Data structures and database design
- Application programming
- Web services and API development
- Software engineering principles
- Machine learning
- Large language models
- Data science in Python, C-Sharp languages, and R programming languages are preferred
Responsibilities
- Contributes substantially to the design and implementation of a web-based application (Pesticide Use Proposal System, PUPs) that meets the needs of the Biological Resources Division, NPS regional, and park-level staff to manage pesticide and biocontrol use.
- Incorporates geospatial capabilities within the application design to support mapping and analysis.
- Designs recommendation system to provide users with best management practices for a given pest.
- Evaluates system requirements and proposes technical approaches in collaboration with senior NPS developers and architects.
- Contributes to the design and implementation of backend services and data storage that support the PUPs application and collaborates with team members on the development of the user interface.
- Performs data quality control and ensures accuracy of application outputs.
- Delivers a production-ready enterprise-level application within one year.
Other
- The successful candidate must be legally authorized to work in the U.S. by proposed start date; Colorado State University Diagnostic Laboratories will not provide visa sponsorship for this position.
- Candidates are expected to have the ability to advance the department’s commitment to supporting research, teaching, outreach, and professional activities of all clients, coworkers, and students.
- All work will be sedentary and computer-based.
- Travel requirements will be minimal to none.
- This position may be authorized to work remotely.
