Reference Number
DOE22J-031685-000081
Selection Process Number
22-DOE-NCR-EA-561700
Organization
Environment and Climate Change Canada
Year
2022-2023
Days Open
2
Classification
STUDENT
City
Ottawa
Type
External
Total
19
Employment Equity
14
(73.7%)
Screened out
17
(89.5%)
Screened in
0
(0%)
Employment Equity 73.7% 14
Screened Out 89.5% 17
Screened In 0% 0
Women 47.4% 9
Visible minority 52.6% 10
Indigenous 0% 0
People with disabilities 0% 0
English 68.4% 13
French 31.6% 6
Citizens 57.9% 11
Permanent Residents 0% 0
We are committed to providing an inclusive and barrier-free work environment, starting with the hiring process. If you need to be accommodated during any phase of the evaluation process, please use the Contact information below to request specialized accommodation. All information received in relation to accommodation will be kept confidential.
To be considered for the Research Affiliate Program (RAP), you must meet the following criteria:
• you are a full-time student in a post-secondary institution
• you are enrolled in an academic program that requires research as part of your curriculum
• you meet the minimum age required in the province/territory of work
ONLY APPLICATIONS SUBMITTED ON-LINE USING THE 'APPLY ON-LINE' BUTTON ABOVE WILL BE CONSIDERED.
The candidate will be a PhD student. The candidate will conduct statistical analyses using R statistical Software on ecological and contaminant data and publish research on the effects of contaminants on non-target biota. The specific tasks include: Organizing and collating research data; Analyzing data relevant to a terrestrial and aquatic exposures assessing the direct effects of pesticides on non-target wildlife; Analyzing data relevant to additional studies assessing the cumulative effects of plastic pollution, contaminants, parasites and diseases in wildlife; writing and preparing manuscripts for submission to peer-review journals.
Data organization, collation, analyses and manuscript writing will be conducted remotely, at Environment and Climate Change Canada’s (ECCC) National Wildlife Research Center located on the Carleton University campus, in the Ecosystem and Wildlife Health Laboratory, and at the Carleton University campus. The work is part of research programs to assess wildlife and ecosystem health. The candidate will be co-supervised by two ECCC Research Scientists and a Carleton University Professor that specialize in ecotoxicology and wildlife health.
Positions to be filled: 1
Your résumé.
A list of the courses you have taken as well as any courses that you are taking now, or that you will be taking this academic year
Education:
Currently enrolled in PhD program in the Faculty of Science, Department of Biology at Carleton University.
Experiences:
Experience in computational statistics, analysis and programming;
Experience using R Statistical Software to analyze ecological and contaminant data, including multivariate statistical analyses, simulation modeling, and predictive machine learning models;
Experience in writing and collaborating on manuscripts for publication in scientific journals;
Experience in analytical reporting using R Markdown and advanced data visualization;
Experience with wildlife health research questions, formulating methods and preparing reports;
Experience with compiling literature reviews and annotated bibliographies.
English essential
Information on language requirements
Knowledge:
Knowledge of statistics methods used in the analysis of ecological and/or ecotoxicological data;
Knowledge of environmental chemicals/contaminants and ecology;
Knowledge of parasite/disease-host interactions.
Competencies:
Teamwork
Writing Skills
Statistical Analyses
Operational Requirements:
Ability and willingness to travel for conferences and other meetings;
Ability and willingness to work with and handle animals;
Ability and willingness to work flexible hours.
Reliability Status security clearance
The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve. We promote employment equity and encourage you to indicate if you belong to one of the designated groups when you apply.
Information on employment equity
We thank all those who apply. Only those selected for further consideration will be contacted.