Sr. Analytic Epidemiologist – ICES McMaster


Job Summary:

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The Senior Analytic Epidemiologist works collaboratively with project teams conducting research through the Institute for Clinical Evaluative Sciences (ICES). Provides project teams with expertise and knowledge in matters relating to data holdings and research methodology. In collaboration with project teams, develops the various components of research plans that include data creation protocols, study designs, and analytical methods. Develops appropriate SAS programs and contributes in the preparation and publication of the results.

Purpose and Key Functions:

  • Provide expertise and content knowledge of ICES data holdings to project teams.
  • Collaborate with project teams in developing research plans that include data creation protocols, study designs, and innovative analytical methods suitable for data holdings.
  • Develop and execute advanced SAS programs that create study cohorts by extracting and merging data holdings according to the criteria agreed upon in data creation protocols.
  • Assess appropriateness and limitations of developed study cohorts.
  • Provide comprehensive guidance on study design and statistical methodologies.
  • Develop and execute advanced SAS programs that perform exploratory and statistical analysis on developed study cohorts in accordance with agreed upon research plans.
  • Prepare analytic outputs and accompanying interpretation of results for project teams.
  • Conduct mandated re-identification risk assessments on outputs and deliverables.
  • Contribute to writing of reports, abstracts, posters, presentations, peer-reviewed publications and other deliverables.
  • Monitor project timelines in collaboration with project team members and ICES staff.
  • Create and maintain proper documentation that accompanies preparation and execution of each research project to ensure reproducibility and transparency.
  • Contribute towards the development, documentation, and sharing of knowledge with regards to datasets, study designs, and statistical methodologies through committees, presentations, and organizational tools such as wiki, data dictionary, and data blog.
  • Actively participate in educational activities and opportunities to improve analytical knowledge base.
  • Develop macros and advanced SAS programs that improve organizational efficiencies and standardize best practices across projects.
  • Develop SAS programs to implement novel statistical methods and strategies to cope with absence of existing procedures or to address unusual data that precludes application of existing procedures.
  • Identify and develop ongoing educational activities and opportunities that improve and complement existing knowledge base of analytical staff.
  • Provide mentorship to junior Analytical Epidemiologists.
  • Provide support to graduate students, post-doctoral trainees, and fellows through orientation to data systems and procedures, review of statistical programs, and conduction of re-identification risk assessments on outputs.
  • Participate in recruitment activities such as candidate screening and interviews.
  • Support Lead Research Methodologist in management of projects and timelines.


  • Ensure adherence to quality standards and procedures for short-term staff.
  • Provide orientation and show procedures to others.


  • Master’s degree in Statistics or related field of study.
  • Requires 3 years of relevant experience.
  • Experience with SAS programming and data management, including SAS SQL and macro language
  • Effective interpersonal, oral and written communication skills
  • An aptitute for research methodology and attention to detail
  • Experience in the health care sector
  • Comprehensive understanding of the use of administrative data in health services research
  • Knowledge of ICES data holdings
  • Strong knowledge of analytic methods applied to health services research
  • Excellent time management skills and proven ability to manage and prioritize workload responsibilities and timelines
  • Ability to work collaboratively in a team environment with minimum supervision
  • Demonstrated initiative in the workplace
  • Experience overseeing and reviewing analytical work of others


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