The biometrician will apply advanced statistical, analytical, and biological knowledge to new and existing research, monitoring, and conservation of the world’s 40 wild cat species. The successful candidate will work under the direct supervision of, and in cooperation with, Panthera’s directors of Applied Science and Data Science. A large component of the position will be collaboration with Panthera biologists and research partners in the development and implementation of innovative monitoring and analysis methods. The duties and responsibilities of this position include:
1. Provide comprehensive quantitative and analytical support for the statistical design, implementation, analyses, and interpretation of biological, ecological, and sociological investigations of wildlife populations in support of global conservation.
2. Use a variety of programs and platforms including but not limited to R, Python, STAN, Linux, SQL/RDBUS and TensorFlow to conduct statistical analyses of short- and long-term datasets. Preference will be given to candidates with expert skills in the use of R and development of novel R packages/modules.
3. Work closely with the director of data science to develop novel analysis modules in R for incorporation in Panthera’s cloud based analysis platform, Panthera IDS.
4. Author, coauthor, or review statistical content in technical reports and scientific papers in cooperation with Panthera biologists, collaborators and others.
5. Develop, evaluate, and implement research and monitoring protocols and programs and make recommendations to more efficiently achieve conservation objectives.
6. Examine datasets to identify patterns and establish relationships to solve problems through analyses (i.e. data mining).
7. Contribute to development of grant proposals that will enhance management of endangered and endemic species and habitats.
8. Perform travel as required. Present results of research at scientific conferences and meetings as requested.
9. Follow Panthera data storage and sharing protocols.
10. Stay abreast of developments in statistics and quantitative analysis pertaining to wildlife ecology, management and conservation and incorporate new knowledge, skills, and tools into conservation programs.
11. Other duties as assigned.
The duty station for this position is Missoula, Montana. Position reports to Director of Applied Sciences, Hugh Robinson.
Candidates will possess a PhD in statistics, wildlife biology, or a related field. Candidates should possess 5 to 10 years’ experience programming in R and in R development. The successful candidate will have at broad knowledge and experience in modeling disparate wildlife data using spatial mark recapture (SECR), mark-resight, survival analysis, resource selection functions (RSFs), time to event abundance estimation, space to event abundance estimation, and occupancy models. Preference will be given to candidates with experience creating hierarchical and integrated population models (IPMs) at large spatial scales. Preference will also be given to candidates with experience in developing cloud and web-based analytical tools for general practitioners. The successful candidate will have a proven record of easy collaboration with their peers.