Research Associate

PH School of Public Health

Competition No.  -    A109146119
Closing Date  -    Will remain open until filled.

A two-year Research Associate (RA) position in Biostatistics is available in the School of Public Health at the University of Alberta. The RA will work on a project to study genetic risks for chronic health conditions among long-term survivors of childhood cancer as a part of a U.S. National Cancer Institute-funded grant. The RA will have the opportunity to contribute to the development of risk prediction models for specific late effects of cancer therapy using clinical, genetic, and possibly other “-omics” data from the largest available North American cohort studies of childhood cancer survivors, in collaboration with some of the most prestigious comprehensive cancer centers worldwide. The RA will be responsible for: processing clinical data (phenotypes); developing and implementing analytic pipelines for data from high-throughput platforms, e.g., next-generation sequencing; interfacing with clinicians/researchers across diverse disciplines to develop/interpret risk prediction models; identifying and evaluating emerging genetic software applications and analysis methods; supporting/writing manuscripts; and assisting with grant applications.

The Research Associate (RA) will be responsible for coordinating high-level analytic strategies. They would report directly to the principal investigators. The scope of responsibilities for this position includes regular scientific communication with clinicians and researchers at the University of Alberta and external academic institutions (e.g., to develop/interpret statistical risk prediction models). The RA will also provide genetic epidemiology/statistics training to graduate students and other trainees/staff, as directed by the principal investigators.


  • PhD in (bio)statistics, epidemiology, bioinformatics, computer science, life sciences or other related degree; MSc may also be considered depending on research experience
  • 2+ years of research experience in public health/biomedical sciences required
  • Proficiency in a programming language (ideally R or python) required
  • Track record in cancer epidemiology and genome-wide association study (GWAS) research preferred
  • Experience with high-performance computing in a UNIX shell environment preferred
  • Familiarity with genetic software applications is an asset (plink, bcftools, etc.)
  • Excellent interpersonal skills; enjoys working as a part of a team
  • Enthusiastic about building new knowledge, skills, and competencies, including those outside of their primary discipline
  • Must demonstrate independent critical-thinking skills and initiative to achieve project goals
  • Strong written and oral communication skills

In accordance with the Trust/Research Academic Staff Agreement, this full-time temporary position offers a comprehensive benefits package found here and annual salary range of $58,210 to $80,050. Compensation commensurate with experience.

COVID-19 Vaccination: Proof of full vaccination against COVID-19 in compliance with the University’s COVID-19 Vaccination Directive. Fully Vaccinated means a status an individual achieves 14 days after having received the recommended number of doses of a COVID-19 vaccine approved by Health Canada or the World Health Organization, and requires the individual to maintain the recommended number and type of vaccine doses as updated and required by Health Canada thereafter.

How to Apply

Apply Online

Note: Online applications are accepted until midnight Mountain Standard Time of the closing date.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered. The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.