Data Analyst

Employment and Social Development Canada; Victoria; Hybrid; CAD 3,467,000 - 4,366,000; Part time

Job summary

Employment and Social Development Canada seeks a Research Affiliate in Victoria, BC to develop and evaluate HTAP multi-model datasets. You will write Python code to compare model outputs with observations, and contribute to publications, under a part-time schedule of about 15 hours weekly from November 2026 to October 2027.

The role requires a B.Sc. and ongoing graduate studies at a Canadian university, with Linux/Unix proficiency, Python coding, and GitLab experience.

Qualifications

• Hold a Bachelor of Science degree and be enrolled as a graduate student at a Canadian university.
• Experience with Linux/Unix operating systems.
• Experience with programming in Python.
• Experience with version control, such as GitLab.
• Knowledge of atmospheric chemistry and physics.

Responsibilities

• Develop and update model evaluation programs in Python, comparing HTAP multi-model output to measurements and reanalysis datasets.
• Compute model performance metrics and investigate reasons for model biases.
• Intercompare HTAP multi-model future projections and provide information on the range of results and impacts.
• Produce figures and tables for scientific publications.
• Explore additional HTAP topics such as aerosol-cloud interactions and radiative forcing if time permits.

Skills

English communication

Python

Linux/Unix

GitLab

Education

Bachelor of Science

Tools

Python

Linux/Unix

GitLab

Job description

Environment and Climate Change Canada- Science and Technology Branch

Selection process number
26-DOE-ONT-EA-683631

Location
Victoria(British Columbia)

Employment tenure
It is expected that the student will work 15 hours per week, November 2026 to October 2027

Salary
$25.17 to $31.69 per hour

Level
ST-UDE-NT

Who can apply
Persons residing in Canada and Canadian citizens residing abroad.To be considered for Research Affiliate Program (RAP) work opportunities, all candidates must meet the following eligibility criteria by the date of appointment:
- Be recognized as having full-time student status at an accredited Canadian post-secondary academic institution (this includes students with a disability deemed to have full-time status). Individuals pending approval of acceptance or in the process of submitting applications are encouraged to apply, as proof of enrollment will only be required prior to the start date.
- Be enrolled in an academic program that requires research as part of the curriculum.
- Be at least the minimum age to work in the province or territory where the job is located.

Duties
- Develop and update model evaluation programs in python, comparing HTAP multi-model output to measurements and reanalysis datasets of traditional air pollutants and short-lived climate forcers.
- Compute model performance metrics and investigate reasons for model biases.
- Intercompare HTAP multi-models’ future projections, providing information on the range of potential future results and their impacts.
- Produce figures and tables for scientific publications.
- If time allows, investigate other scientific topics with the HTAP datasets, such as aerosol-cloud interactions, radiative forcing, health impacts, source attribution, etc.

Work environment
The students will work on multi-model data evaluation and analysis in the context of the Task Force on Hemispheric Transport of Air Pollution (HTAP, htap.org). HTAP is an international scientific cooperative effort to improve the understanding of intercontinental transport of air pollution. HTAP3 multi-model experiments, include “OPNS” on ozone, particulate matter, and deposition, and “Fires” on multi-pollutant wildfire impacts. The students will download and analyze model output and measurements from several sources using ECCC’s supercomputer resources. They will compare atmospheric model output to several measurement-based datasets to determine model performance of air pollutant distributions and related variables. They will also intercompare models’ future projections of air pollution under various scenarios, and come to conclusions related to model performance, reasons for model biases, suggestions for improvement, and degree of confidence in model predictions.

Your application must clearly explain how you meet the following

Education:
Hold a Bachelor of Science degree and be registered as a graduate student at a Canadian University.

Experience:
Experience with Linux/Unix operating system
Experience with programming in python
Experience with version control, such as gitlab

Applied / assessed at a later date

Knowledge:
Knowledge of atmospheric chemistry and physics

Abilities:
Ability to effectively communicate in English, both verbally and in writing

Language requirements (essential for the job)

We're 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 contact the hiring organization below to request specialized accommodation. All information received in relation to accommodation will be kept confidential.

The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the population it serves. We promote employment equity and encourage you to self-declare if you belong to one of the designated employment equity groups when you apply.

Selection may be limited to members of the following employment equity groups: Indigenous (Aboriginal) peoples, persons with disabilities, visible minorities, and women.

Preference will be given to veterans first, followed by Canadian citizens and permanent residents, with the exception of jobs located in Nunavut or Yukon. For positions located in Nunavut, qualified Inuit enrolled under the Nunavut Agreement will be appointed first. For positions located in Yukon, qualified Yukon First Nations will be appointed first, followed by qualified Indigenous persons.

We'd like to thank all those who apply. However, only the people selected for further consideration will be contacted.