Quantitative Ecologist

Application Date: Review of applications will begin on July 16, and continue until the position is filled

Start Date:  September 1, 2021 or earlier

Location:  Anywhere in Canada

Description: This is a unique opportunity for individuals interested in applied ecology and conservation. The work entails ecological forecasting, data science, and spatial ecology. The candidate will work with scientists and software developers at ApexRMS to develop and apply ecological forecasting models. The position provides applied experience on a variety of ongoing consulting projects at ApexRMS involving models of landscape change, carbon dynamics, fire risk, habitat suitability, habitat connectivity, and wildlife conservation. The candidate’s main work will include (a) preparing and analyzing spatial ecological datasets (i.e., GIS-based); (b) developing ecological models to forecast changes in future fire risk, ecosystem carbon, and habitat connectivity; and (c) delivering these models and forecasts to decision-makers. The candidate will also have the opportunity to contribute to funding proposals, software and tool development, writing and publication. The individual will interact with various clients including government departments and non-governmental organizations such as the U.S. Geological Survey, U.S. Forest Service, The Nature Conservancy, and Environment and Climate Change Canada. The candidate will work in a variety of platforms (e.g., R, Python, GitHub) to develop and deliver effective open-source ecological models, including preparing and analyzing large spatial datasets. As part of working with a small consulting company, the candidate will also gain hands-on experience in project management and communicating science to decision-makers.

Application: To apply visit apexrms.com/careers. Interested applicants should compile the following materials into a single pdf and email to Dr. Bronwyn Rayfield (bronwyn.rayfield@apexrms.com): a 1-page statement of interest, CV, and contact information for three professional references. The statement of interest should explicitly address the applicant’s background/interest in ecological modeling and quantitative skills, including statistical and spatial analysis skills.

Qualifications: Graduate (PhD or MSc) degree in Biology, Ecology, Environmental Science, Computer Science, Statistics, or a related discipline. Applicants with consulting experience or with unique contributions to bring to ApexRMS will be more competitive.

About ApexRMS: We are a team of scientists and software developers focused on designing and delivering state-of-the-art ecological models to decision makers. The core of our business is developing transparent models in support of ecological forecasting. We work closely with our clients and other experts from around the world to translate their ecological understanding into appropriate models. Visit apexrms.com to learn more.