Research Assistant - Centre of Veterinary Epidemiologic Research (CVER), Atlantic Veterinary College

Competition Number: 
05E15
Position Type: 
Staff Position
Closing Date: 
Friday, February 20, 2015
Date of Posting: 
February 12, 2015
Department: 
Centre of Veterinary Epidemiologic Research (CVER), Atlantic Veterinary College
Position: 
Research Assistant
Contract: 
Part-Time Term Position
Hours of Work: 

20 hours per week

Salary: 
$22.00 per hour (vacation pay included, Grant Funded)
Term: 

As soon as possible – August 31, 2015 (Term may be reduced or extended depending on performance, available funding and departmental requirements.)

Project Background: Canada’s claims of freedom from Pseudorabies, Brucella suis and Classical Swine Fever (CSF) as well as Trichinella negligible risk compartments hinges on adequate surveillance in domestic and captured wild pigs and knowledge of the exposure risk wild and feral pigs pose to the domestic pigs. The modern epidemiological method to support a country’s claim of freedom from disease is the scenario tree analysis that quantifies the probability that a population is free from the disease (at a given level) taking into account multiple surveillance data sources (current and historic) and the probability of introduction of the disease. Therefore, a very important but unknown parameter in the scenario tree analysis is the probability of introduction of the diseases. For diseases such as Pseudorabies, Brucella suis, CSF and Trichinella that probability of introduction would include the probability of introduction to the domestic and captive wild pigs in Canada from wild and feral pigs.

Job Summary: Development of a conceptual model for introduction and spread of Swine diseases into Canada by migration of wild pigs from the USA.

RESPONSIBILITIES:

A research assistant will work as part of a multidisciplinary team with members from government, academia and industry on the development of a conceptual model for the introduction and spread of Pseudorabies into Canada through migration of wild pigs from the USA. Dr. Javier Sanchez from CVER and Dr. Jette Christensen from the Canadian Food Inspection Agency will be the main supervisors. This work and a quantitative model will provide critical input information for a stochastic freedom of disease model. The selected candidate will be in charge of conducting a literature review, developing the conceptual model for the introduction and spread of swine diseases, and identifying the key sources of information for the parameters of the model.

QUALIFICATIONS:

A successful candidate should have a DVM degree, have experience in surveillance, disease epidemiology, understand the concepts of scenario tree modeling, be able to communicate effectively in English and have very good written and oral communication skills. Some experience in wildlife biology is an asset. Evaluation of the applications will commence on February 1st, 2015 and will continue until the position is filled.

The project is scheduled to start as soon as the candidate has been identified. For more information, please contact Dr. Javier Sanchez by email at jsanchez@upei.ca or by phone at +1-902-566-0803.

Application Instructions: 

Please submit electronically a cover letter, quoting the competition number, a resume and reference list, to be received no later than the closing date, via the link below. You can also apply in person to the Human Resources Department, Kelley Building, University of Prince Edward Island, 550 University Avenue, Charlottetown, PEI C1A 4P3, Fax Number (902) 894-2895.

In accordance with Canadian immigration requirements, all qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

The University of Prince Edward Island is committed to gender equity in employment. Only those applicants who are invited to an interview will be acknowledged.

Successful Candidate(s): 

M. Parent

UPEI encourages all qualified applicants to apply for job openings; however, in keeping with the terms and provisions of the university’s various employment and collective agreements, first priority will be given to internal candidates.
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