Ecological Statistician

**Position Details**:Full-time, Permanent, Existing Vacancy
**Salary**:$81,300 - $101,600, based on a 35-hour work week. (Salary for this position will be commensurate with each individual's education and/or experience as it relates to the position).
**Location**:Oak Hammock Marsh, near Stonewall, MB with the flexibility of a hybrid schedule.
**Closing Deadline**: September 19, 2024 (11:59PM EDT)

**What You Will Do**

We seek an Ecological Statistician to support the work of DUC scientists and provide quality assurance with respect to the conclusions and communication of DUC's scientific products. The Ecological Statistician consults with and guides IWWR and other DUC staff, students, and partners on issues of experimental design, sampling methodology, and statistical analyses. They will also conduct analyses and helps ensure that results are properly interpreted.

The Ecological Statistician regularly writes methods and data analysis sections of manuscripts and reports, and may occasionally present results or assist with continuing education activities (e.g., workshops or short courses). In addition to supporting DUC scientists in their research, the Ecological Statistician may conduct original independent research on statistical methodology relevant to IWWR’s mandate and will keep up to date through professional development activities, ensuring that advances in statistical theory and methodologies are incorporated into analyses where appropriate.

As a member of DUC’s science team you will benefit from an established network of collaborations with government agencies, academics, and industry partners. If you are looking to make a positive impact on conservation in Canada, this is an exciting opportunity to join an engaged and enthusiastic team. Let us know how your expertise and skills could contribute to our science team.

**Requirements**:

- MSc or PhD in Statistics. A graduate degree in Ecology with a minor in statistics, a strong quantitative background (i.e., Quantitative Ecology), or an acceptable combination of education, training, and experience may be considered;
- Experience conducting statistical analyses and providing statistical support in an academic, consulting, or research environment. Experience should include multiple aspects of statistical support, including experimental design and sampling, data analysis, model interpretation, and clear communication of results in text and graphics. Experience working with ecological data and GIS would be an asset;
- Extensive experience with statistical programming packages (in particular, R; Python, SAS) and data management, cleaning, and archiving;
- Excellent communication and teaching skills, including ability to clearly explain complex information to non-technical audiences;
- Demonstrated ability to work both within a team and independently. Experience on multi-investigator teams is an asset;
- Adaptability to work on a variety of topics.

**What We Offer**
- 3 weeks’ vacation with paid personal and sick days
- Comprehensive compensation & benefits package
- Hybrid work arrangement

**How to Apply**

DUC is proud to be recognized as a non-profit employer of choice for the second year in a row. Working for DUC is a career highlight for many staff. Let us know if making a difference is important to you.

If you are qualified and interested in this opportunity, please visit our online career center to submit a cover letter and CV for confidential consideration.