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Job Opportunity: Statistics Canada Analytical Studies Research Fellowship - Research Affiliate Program


Sent on behalf of Statistics Canada.


Statistics Canada
Ottawa (Ontario)
From April 2019 to March 2020
The Statistics Canada Analytical Studies Research Fellowship lasts for nine to twelve months. The Fellow will receive a stipend of $25,000, contingent on duration.

Closing date: 31 January 2019 - 23:59, Pacific Time

Who can apply: Persons residing in Canada and Canadian citizens residing abroad.

Important messages

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.

Assessment accommodation

The Statistics Canada Analytical Studies Research Fellowship provides PhD candidates, students currently enrolled in a doctoral programme who are working on theses, an opportunity to access microdata that is only available for use at Statistic Canada’s Ottawa headquarters and the support of staff in the Analytical Studies Branch at Statistics Canada in order to carry out research related to their theses.

The use of the microdata collected by Statistics Canada to conduct in-depth statistical analyses has expanded substantially. The richness of this microdata continues to grow as Statistics Canada maximizes the potential of all of its data holdings through data integration.

Examples of Statistics Canada studies making use of microdata developed within the Analytical Studies Branch include:

• “Business Ownership and Employment in Immigrant-owned Firms in Canada”, by David Green, Huju Liu, Yuri Ostrovsky and Garnett Picot. This study examines the extent to which immigrants contribute to economic growth. https://www150.statcan.gc.ca/n1/pub/11-626-x/11-626-x2016057-eng.htm

• “Wages for Young Workers up to the Age of 40”, by René Morissette. This study compares the earnings trajectories of several recent cohorts of young workers with those of cohorts who entered the labour market in the late 1970s. https://www150.statcan.gc.ca/n1/pub/11f0019m/11f0019m2018405-eng.htm

• “Tuberculosis-related hospital use among recent immigrants to Canada”, by Edward Ng, Dominique Elien Massenat, George Giovinazzo, David Ponka and Claudia Sanmartin. This study provides evidence on TB-related hospitalizations among new immigrants to Canada.
https://www150.statcan.gc.ca/n1/pub/82-003-x/2018007/article/00002-eng.htm

“Longitudinal child data: What can be gained by linking administrative data and cohort data?" by Leanne Findlay, Elizabeth Beasley, Jungwee Park, Dafna Kohen, Richard Tremblay and Frank Vitaro in the International Journal for Population Data Science. This study demonstrates the value of linked cohort and administrative data to study child topics.

Students are encouraged to contact Statistics Canada for more information about the databases that are potentially available for use under this fellowship.

Contacts are:

Economic Analysis Division

-Douwere Grekou – Douwere.Grekou@canada.ca

Health Analysis Division

-Edward Ng – Edward.Ng@canada.ca
-Leanne Findlay – Leanne.Findlay@canada.ca

Social Analysis and Modelling Division

-Marc Frenette – Marc.Frenette@canada.ca

There will be three fellowships available, one for each of the divisions in the Analytical Studies Branch: Economic Analysis Division, Health Analysis Division, and Social Analysis and Modelling Division. Applications for the fellowship require the submission of a research proposal that would benefit from the support of research staff in these divisions.

Candidates must clearly indicate on their application the one division in which they are seeking a fellowship.

You must provide:

Your resume.

A research proposal of 2-3 pages (1,000 words) in length that uses a database available only at Statistics Canada’s headquarters

A covering letter in 250 words that explains the how the proposed research project would benefit from the knowledge and expertise of staff in the Analytical Studies Branch.

The names and contact information of three references. One of the references must be your thesis supervisor.


Duties

The Fellow’s conducts research that would benefit from the knowledge and expertise of the staff in the Analytical Studies Branch of Statistics Canada using databases only available at Statistics Canada’s headquarters in Ottawa.


Work environment

The Fellow works alongside research staff in the Analytical Studies Branch of Statistics Canada.

• Economic Analysis Division has an ongoing research program on topics such as productivity, national accounts, business dynamics, innovation, globalization, firm competitiveness, and economic geography.

• Health Analysis Division conducts population based research on health status and health determinants on themes such as vulnerable populations, immigrant health, health services, nutrition, and environment and health.

• Social Analysis and Modelling Division conducts research on a wide-range of economic and social issues relating to labour economics, immigration, education, pensions and retirement, and well-being.

The Analytical Studies Branch values an innovative, diverse, and bilingual workplace where colleagues share their expertise and collaborate in order to produce high-quality statistical information relevant to Canadians.

Positions to be filled: 3


Information you must provide

Your résumé.

A covering letter in 1,250 words (maximum) "A covering letter in 250 words that explains how the proposed research project would benefit from the knowledge and expertise of staff in the Analytical Studies Branch. In addition to the covering letter you must conduct a research proposal of 2-3 pages (1,000 words) in length that uses a database available only at Statistics Canada’s headquarters"

Contact information for 3 references.


In order to be considered, your application must clearly explain how you meet the following (essential qualifications)

Education:

The candidate must be presently enrolled in a doctorate program as a full-time student in a recognized university with a specialization in health, economics, mathematics, geography, sociology, demography, statistics or actuarial science. Part-time students in the same specializations who are recognized by their university as having a disability will also be considered. This status must be maintained during the entire fellowship period.

Proof of enrollment will be required prior to appointment.

Degree equivalency

Knowledge:

The candidate must demonstrate a detailed awareness of the Statistics Canada data source to be used in the proposed study, including its appropriateness and limitations for the proposed study.


The following will be applied / assessed at a later date (essential for the job)

English or French

Information on language requirements

Personal Suitability

Judgement
Thoroughness
Reliability
Effective Interpersonal Skills


Conditions of employment

Reliability Status security clearance

The student should be prepared to start between April 1, 2019 and June 30, 2019, and complete their fellowship term by March 31, 2020..

The student will work a maximum of 25 hours per week in Ottawa during the duration of the fellowship.

The student commits to producing the research project proposed in their application.


Other information

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

Applications for the Statistics Canada Analytical Studies Research Fellowship are done through the Research Affiliate Program (RAP). Candidates must meet the eligibility requirements for the RAP. You must:

• be recognized as having full-time student status by the post-secondary academic institution at which you are presently enrolled OR be a part-time student who is recognized by your academic institution as a having a disability;

• be the minimum age to work in the province or territory where the job is located; and

• be enrolled in an academic program that requires research as part of your curriculum.

Non-Canadians living in Canada can apply to the RAP but preference will be given to Canadian citizens who meet the job requirements.

The Crown retains possession of intellectual property (IP) related to material produced by the student while participating in the RAP. The issue must be addressed in the hiring organization's contractual agreement with the academic institution, ensuring that the Crown retains the IP rights, while the student is granted the ability to publish their findings and research to fulfil academic requirements, or whenever necessary and appropriate.

The successful completion of the fellowship is defined as the completion of the research project proposed in the application. Typically, the completion of the research project means a research paper that is ready for inclusion in the theses of the student or for publication in Statistics Canada’s Analytical Studies Branch Research Paper Series.

Upon the successful completion of the fellowship, continued access to the data in Ottawa may be granted in order for you to make revisions to publish the research paper in an academic journal. You may be rehired as a student as long as you continue to meet the eligibility requirements of the RAP program.

The successful completion of the fellowship may also lead to a temporary or permanent federal public service position for which you meet the merit criteria and conditions of employment.


Preference

Preference will be given to veterans and to Canadian citizens, in that order, with the exception of a job located in Nunavut, where Nunavut Inuit will be appointed first.

Information on the preference to veterans

We thank all those who apply. Only those selected for further consideration will be contacted.


Contact information

 
Joseph Prelorenzo, Human Resources Advisor Sara Charron, Senior Human Resources Assistant
joseph.prelorenzo@canada.ca sara.charron@canada.ca
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Productivity Partnership/ Partenariaet productivité · Department of Economics Kenneth Taylor Hall, Room 426, McMaster University · 1280 Main St W · Hamilton, Ontario, ON L8S 4M2 · Canada

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