Health data scientist

Job description

From data wrangling to implementing complex statistical models, data scientists at Precision Analytics wear many hats. While we require a strong foundation in a quantitative discipline, applied experience conducting health or life science-related data analysis is essential.

Essential qualifications

  • Graduate degree (MSc or PhD) in a quantitative field such as:
    • mathematics, statistics or biostatistics
    • bioinformatics or computational biology/chemistry
    • epidemiology
  • Ability to write robust code in at least one statistical programming language such as R (preferable), SAS, Stata, Python, MATLAB, etc.
  • Hands-on experience analyzing a variety of data sources
Candidates must also demonstrate:
  • Outstanding communication and problem-solving skills
  • Experience collaborating with non-technical stakeholders
  • Ability to accurately interpret statistical results and concepts
  • Initiative and ownership working both independently and in a team
  • Ability to prioritize multiple tasks under tight deadlines

Other relevant skills/experience

  • Familiarity with software version control and project management tools (e.g., Git, Github, Jira)
  • Experience creating visualizations, dashboards, or automated reports (e.g., ggplot2, R Markdown, plotly, Shiny)
  • Industry/non-academic experience or internships

Along with a cover letter and CV, applicants are encouraged to provide examples of a technical project (e.g., GitHub repo, coding script, report, published manuscript, etc.)

Note: Applicants must be legally allowed to work in Canada.