Biostatistical Data Analyst

Job description

Biostatistical Data Analyst

Date Posted: 10/05/2020
Req ID: 1174
Faculty/Division: Dalla Lana School of Public Health
Department: Dalla Lana School of Public Health
Campus: St. George (Downtown Toronto)


About us:

The Dalla Lana School of Public Health is a Faculty of the University of Toronto that originated as one of the Schools of Hygiene begun by the Rockefeller Foundation in 1927. The School went through a dramaticrenaissance after the 2003 SARS crisis and it is now the largest public health school in Canada, with more than 850 faculty, 1,000 students, and research and training partnerships with institutions throughout Toronto and the world. With $40.4 million in research funding per year, the School supports discovery in global health, tobacco impacts on health, occupational disease and disability, air pollution, inner city and Indigenous health, among many other areas.

Your opportunity:

Traumatic brain injury (TBI), defined as an alteration in brain function, or other evidence of brain pathology, caused by an external force is among the most serious and disabling neurological disorders affecting adults and children in all societies. TBI is a chronic disease process that is also dependent on a magnitude of personal, clinical, and environmental interactions that affect injury circumstances, severity, and outcomes. Expansion of computational methods encompassing pattern recognition to support human thinking in categorizing personal, clinical, and environmental exposure data in TBI research is timely.

As the Biostatistical Data Analyst, you will be responsible for applying your analytic research expertise to high quality health administrative data in a secure data environment. You will contribute to the study design, statistical methods and data analysis plans and conduct statistical analysis according to project plans. You will work collaboratively with the project team to assist in preparing reports, graphics, manuscripts and presentations. Your background in applied
statistical collaboration in health care research, statistical analysis, solid communication and organizational skills will be crucialto your success.

Your responsibilities will include:

  • Advising on study design, statistical methods and analysis plans, including searching the statistical literature and analyzing and writing program scripts to extract, reformat and analyze data
  • Managing study databases and linking and merging databases
  • Performing statistical analyses, validating analysis datasets, and validating and interpreting results
  • Formatting research results to be presentable and easily comprehensible, including creating statistical graphics
  • Fostering positive relationships with project partners and contributing to manuscripts and grant development

Essential Qualifications:

  • Master's Degree in Biostatistics or an acceptable combination of equivalent experience
  • Minimum three years of relevant work experience that includes manipulating and analyzing large health administrative databases or equivalent
  • Experience in applied statistical collaboration in health care research and a thorough understanding of statistical principles and biostatistical
  • Demonstrated experience with statistical analyses, analyzing datasets and interpreting results
  • Experience presenting at academic conferences
  • Experience contributing to and submitting manuscripts
  • Familiarity with privacy protection procedures
  • Proficiency in logistic regression, Poisson regression and other GLM models
  • Knowledge of statistical methodological theory in order to critique and implement the newest statistical techniques
  • Conversant with SAS, R, and Python with strong programming proficiency in at least 2 of these 3 data analysis platforms
  • Experience with data management and resolving data issues
  • Advanced proficiency with MS Office Suite, and other software packages (i.e. SAS) and programming languages currently used to collect, analyze and report data
  • Strong communication (written and verbal), and interpersonal skills
  • Demonstrated ability to prioritize and manage several projects simultaneously
  • Excellent organizational skills, time management and problem-solving skills with the ability to meet conflicting priorities and balance multiple projects
  • Demonstrates initiative and possesses a strong commitment to research work.
  • Strong commitment to accuracy and attention to detail

Assets (Nonessential):

  • Experience working with ICES data holdings or other large administrative datasets

To be successful in this role you will be:

  • Efficient
  • Intuitive
  • Organized
  • Problem solver
  • Resourceful
  • Team player

This is a 1-year term position.

Closing Date: 10/19/2020, 11:59PM EDT
Employee Group: USW
Appointment Type: Grant - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 11 -- $65,669 with an annual step progression to a maximum of $83,978. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Research Administration & Teaching
Recruiter: Aarthiga Sivakumar

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity Statement
The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ persons, and others who may contribute to the further diversification of ideas.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see

Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact [email protected].
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

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Job No:
Posted: 10/6/2020
Application Due: 10/20/2020
Work Type: