University of Alberta

Data Analyst

Division of Nephrology

Competition No.  -    A100632361
Closing Date  -    Will remain open until filled.

The position is for a Data Analyst for the Kidney Supportive Care Research Group (KSCRG), under the supervision of the KSCRG's Director, Dr. Sara Davison. The vision of the KSCRG is "to help people enjoy life while living with advanced chronic kidney disease by becoming a world leader in kidney supportive/palliative care research and clinical innovation." The KSCRG incorporates a high level of stakeholder engagement and collaboration through all research and clinical innovation activities.  Some of the current innovations and focus areas include: clinical pathway development, symptom management, prognostication and clinical trajectories, clinical decision aids, and the use of interactive technologies. The successful candidate will work independently with minimal supervision. 

The successful applicant will be involved in a range of research activities including data management, data analysis, method documentation, interpretation and presentation of results, health systematic reviews, grant applications, and manuscripts preparation. There will also be opportunities for authoring manuscripts.

Duties include, but are not limited to:

  • Reviewing the literature to determine appropriate statistical approaches
  • Liaising with health data custodians and implementing data queries
  • Designing and executing basic and advanced analysis plans using SAS, STATA or R
  • Drafting written summaries of data analyses including figures, tables, as needed for grant applications and scientific papers and presentations both for scientific and lay audiences
  • Preparing written documentation analysis methods for archival and future purposes
  • Assisting in the development and coordination of scientific collaboration with researchers within and outside the university
  • Developing and carrying out independent research
  • Troubleshooting experimental protocols
  • Providing training in statistical analysis and programming to graduate students and other team members as needed


  • Minimum of two degrees in mathematics and statistics; this must include a Master’s degree in mathematics or (bio)statistics
  • Minimum of 2-3 years research experience
  • Current research has a large focus on working with longitudinal clinical data and involves the development of prognostic models and clinical trajectories. Therefore, candidates with courses in Generalized Linear Models, Survival Analysis, Clinical Trials, Decision Analysis, Meta-Analysis, and/or undergraduate Computer Programming will be given priority
  • Excellent computer programming skills in packages such as SAS, R and/or STATA
  • Proficiency in a Windows environment using MS Office applications
  • Effective communication skills, both verbally and in writing
  • Ability to work independently and in a team environment
  • Independent judgment, attention to detail and problem-solving skills
  • Knowledge of kidney and/or the health care system in Canada, and/or experience using administrative data are an asset

In accordance with the Trust/Research Academic Staff Agreement, this position is for a 1 year term, with the possibility of extension, and offers a comprehensive benefits package found at: and an annual salary range of $57,350 - $78,866. Salary will be commensurate with experience and qualifications.


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.