- Agency
- Battelle - NEON Project
- Location
- Boulder, CO
- Job Category
- Full Time Positions
- Website
- https://entojobs.tamu.edu/wp-content/uploads/sites/79/2018/11/Vector-Borne-Disease-Ecologist.pdf
- Description
- The Vector-Borne Disease Ecologist will be part of the NEON Science Team that is responsible for operating, maintaining, and ensuring the success of a national program to collect >175 data products from 81 sites throughout the US for over 30 years. The Science Team develops, maintains, and improves field and lab protocols, derives data processing algorithms and algorithms for data QA/QC and uncertainty estimates, and supports field personnel to produce high quality data products for the research, education, and decision-making communities. In addition, NEON scientists actively engage the NEON user community through conference attendance, running technical working groups, workshop organization and participation, and collaborations on grants and manuscripts. The Vector-Borne Disease Ecologist will be primarily responsible for NEON’s small mammal and tick sampling and the associated biodiversity and pathogen data products, but should also be eager to contribute their knowledge and expertise to other NEON data products, as needed.
- Qualifications
- THE FOLLOWING REQUIREMENTS MUST BE MET TO BE CONSIDERED FOR THIS POSITION: • PhD degree in ecology, evolution, or a related field and 0 - 2 years of experience, OR • Master's degree in ecology, evolution, or a related field and 2 - 5 years of experience, OR • Bachelor's degree in ecology, evolution, or a related field and 5 - 8 years of experience • Experience in small mammal ecology and/or vector-borne disease ecology • Proficiency with R or Python, including scripting to automate data QA/QC tasks. • Significant experience communicating to the research community and federal agencies in a professional environment, with demonstrated experience working in a collaborative scientific enterprise. • High-level of attention to detail is required, with a self-directed and team-oriented work style. • Demonstrated ability and experience with scientific writing and review. • Effective problem-solving skills and the ability to determine and act on changing priorities in a fast-paced, dynamic environment. • Ability to organize and execute multiple activities and priorities. THE FOLLOWING REQUIREMENTS ARE DESIRED, BUT NOT REQUIRED TO BE CONSIDERED FOR THIS POSITION: • Experience with large-scale inventory and monitoring programs. • Experience with open science/reproducible science workflows, including code sharing on platforms such as GitHub. • Experience using publicly available datasets. • Demonstrated success in scientific publication and securing external research funds. • Proficiency with relational databases (e.g., PostreSQL, Access).
- Job Number
- 72