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Statistician, Psychiatry, Cumming School of Medicine

Job ID: 22003

Updated: January 12, 2021

Location: Foothills Campus

Position Overview

The Department of Psychiatry in the Cumming School of Medicine is currently seeking a Full-time Temporary Relief Statistician for approximately 12 months.

Reporting to the Principal Investigator.

The Statistician will provide support to researchers in the design and conduct of clinical studies, and in the analysis and interpretation of data arising from the studies. This position will also provide support to researchers in the design of their research proposal and in the analysis and interpretation from their research. The position will have both a technical and an instructional or mentorship role.

Position Description

Summary of Key Responsibilities (job functions include but are not limited to):

  • Write moderately complex statistical programs, functions and macros to manipulate raw data and to create new variables for final data analysis and conduct simulation studies where required
  • Design and maintain study databases and write advanced data management computer programs and evaluate new statistical software when required
  • Collaborate with investigators on their research grants, including conducting sample size/power calculations, reviewing papers and protocols
  • Ensure appropriate analysis is conducted and that it aligns with the goals of the studies set out by AMHSP members
  • Perform a range of statistical analysis of data arising from research activities including advanced and complex statistical analyses as required/requested for each individual research project
  • Interpret the results from the data analyses and write statistical sections of the study reports/publications including preparation of appropriate tables and figures
  • Construct graphs and tables for collaboration with researchers in scientific presentations and manuscripts and to prepare the statistical and technical sections of publishable manuscripts
  • Completion of the statistical requirements of clinical trials from the design stage through the analytical and presentation stages
  • Assist in the preparation of data and analytical documentation to support researchers in the preparation of publishable manuscripts including annotated statistical programs
  • Provide statistical consultation to and instruct researchers, assistants and students in the methods of statistical analysis and computing
  • Oversee statistical analysis completed by the research support staff, data entry staff and trainees involved in the research activities
  • Teach and present on statistical methods to a variety of audiences (peers, junior analytical staff and collaborators)

Qualifications / Requirements:

  • Masters degree in statistics or biostatistics
  • At least five years of experience in the statistical analysis of observational epidemiology studies is preferred
  • At least five years in related experience in a research setting
  • Solid statistical knowledge and advance expertise with statistical software packages (SAS and R, SAS Certification an asset)
  • Programming languages an asset
  • Extensive knowledge of statistical theory and application
  • Experience with varied statistical methods including multivariate modeling, hierarchical analysis, longitudinal designs (including repeated measures), propensity analysis, prediction modeling, multiple imputation; knowledge of econometric methods is helpful
  • Demonstrated competency in performing data analyses and programming using STATA or R. Knowledge of other statistical packages (e.g. SAS, ArcGIS) is an asset
  • Expertise in longitudinal data analysis, survey sampling methods, machine learning techniques; manipulating large and complex data sets is desirable
  • Advances expertise with statistical software packages as well as graphics and presentation software used within the Department is essential
  • Strong verbal and written communication skills
  • Ability to work on multi-projects simultaneously with members of collaborative teams
  • Strong computer skills including knowledge of database software such as Microsoft Access and REDcap
  • Demonstrated ability to work effectively with and communicate with individuals of varying levels of statistical and computer expertise

Application Deadline:  January 26, 2021

We would like to thank all applicants in advance for submitting their resumes. Please note, only those candidates chosen to continue on through the selection process will be contacted.

Additional Information

This position is part of the AUPE bargaining unit, and falls under the Technical Job Family, Phase II.

To find out more about management and staff opportunities at the University of Calgary and all we have to offer, view our Management and Staff Careers website. For more information about the Cumming School of Medicine visit Careers in the Cumming School of Medicine.

About the University of Calgary

The University of Calgary is Canada’s leading next-generation university – a living, growing and youthful institution that embraces change and opportunity with a can-do attitude. Located in the nation’s most enterprising city, the university is making tremendous progress on its Eyes High journey to be recognized as one of Canada’s top five research universities, grounded in innovative learning and teaching and fully integrated with the community it both serves and leads. The University of Calgary inspires and supports discovery, creativity and innovation across all disciplines. For more information, visit ucalgary.ca.

The University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their professional success while they are here. We encourage all qualified applicants to apply, however preference will be given to Canadian citizens and permanent residents of Canada.

 

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