Biostatistician

University of Saskatchewan, Canada

Updated: about 1 month ago
Location: Saskatoon, SASKATCHEWAN

Primary Purpose: The aim of the Canadian Mother-Child Cohort (CAMCCO) Active Surveillance initiative is to quantify the benefits and risks of medication use during pregnancy for mothers and children. The Saskatchewan Pregnancy Cohort (SPC) is a harmonized component of the multi-provincial CAMCCO initiative that will drive perinatal health research locally and nationally. This position will be responsible for SAS coding and statistical analysis, and will be a critical part of provincial and national research teams.

Nature of Work: The position reports to the principal investigator within the Department of Community Health and Epidemiology. The position will provide expert-level SAS coding and statistical analysis to support the development of a longitudinal pregnancy cohort using provincial administrative and clinical datasets accessible through Saskatchewan’s Data Warehouse. The position will establish and maintain a level of professional relationships that supports collaboration with members of the broader research network across several provinces. The position will work from an office within the Health Quality Council in Saskatoon, and may eventually transition to a virtual office. The position handles confidential data and work is subject to applicable ethical codes of conduct and privacy legislation. The successful candidate will have the opportunity to participate in specialty training sessions (CAMCCO-Learning) to advance their skills and knowledge within the field of perinatal epidemiology.

Accountabilities:

  • Translating research protocols into SAS code;
  • Linking multiple datasets and mother and child health records to create a provincial longitudinal pregnancy cohort;
  • Conducting careful quality checks on new variables;
  • Performing statistical analysis using a variety of methods (e.g. survival and regression analysis, GIS, GEE models);
  • Replicating and applying methods outlined in common protocols to various studies;
  • Preparing statistical results for dissemination;
  • Communicating statistical analyses and results;
  • Developing and maintaining effective relationships to build strong virtual teams;
  • Providing technical assistance and advice in the application of statistical methods and interpretation of results;
  • Attending regular virtual meetings with the provincial and national teams.

Qualifications:

Education: MSc degree in Biostatistics, Epidemiology, or related field.

Experience:  Significant experience and advanced level working knowledge of statistical software and programming languages (SAS required). Experience leading analyses within a provincial data access centre is an asset. Experience collaborating with multidisciplinary research teams and in the areas of maternal child health and pharmacoepidemiology is an asset.

Skills: 

  • Advanced statistical programming and analysis;
  • Ability to work with multiple types of data sources including administrative health and clinical data;
  • Ability to multi-task in order to handle simultaneous projects and to meet deadlines;
  • Ability to work both independently and collaboratively as part of a team;
  • Strong communication (oral & written) skills;
  • Demonstrable analytical and organizational skills.

Department: Community Health & Epidemiology
Status: Term One year with the possibility of extension
Employment Group: ASPA
Full Time Equivalent (FTE): 0.75
Salary: The salary range, based on 1.0 FTE, is $66,030.00 - 103,174.00 per annum. The starting salary will be commensurate with education and experience.
Salary Family (if applicable): Specialist Professional
Salary Phase/Band: Phase 2
Posted Date: 3/20/2024
Closing Date: 4/2/2024 at 6:00 pm CST
Number of Openings: 1
Work Location: May be eligible for hybrid work under the terms of USask's Alternative Workspace Guidelines

The successful applicant will be required to provide the following current verification(s) where 'Yes' is indicated below. Further information is available at: https://careers.usask.ca/tips-for-applying.php

Criminal Record Check: Not Applicable
Driver's License and Abstract Check: Not Applicable
Education/Credential Verification: Not Applicable
Vulnerable Sector Check: Not Applicable


The University is committed to employment equity, diversity, and inclusion, and are proud to support career opportunities for Indigenous peoples to reflect the community we serve. We are dedicated to recruiting individuals who will enrich our work and learning environments. All qualified candidates are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadian citizens and permanent residents will be given priority. We are committed to providing accommodations to those with a disability or medical necessity. If you require an accommodation to participate in the recruitment process, please notify us and we will work together on the accommodation request. We continue to grow our partnerships with Indigenous communities across the province, nationally, and internationally and value the unique perspective that Indigenous employees provide to strengthen these relationships. Verification of Indigenous Membership/Citizenship at the University of Saskatchewan is led and determined by the deybwewin | taapwaywin | tapwewin: Indigenous Truth policy and Standing Committee in accordance with the processes developed to enact the policy. Successful candidates that assert Indigenous membership/citizenship will be asked to complete the verification process of Indigenous membership/citizenship with documentation. The University of Saskatchewan’s main campus is situated on Treaty 6 Territory and the Homeland of the Métis. We pay our respects to the First Nations and Métis ancestors of this place and reaffirm our relationship with one another. Together, we are uplifting Indigenization to a place of prominence at the University of Saskatchewan.

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