Intermediate epidemiologist / biostatistician

Data science at Precision Analytics

From data wrangling to implementing complex statistical models, epidemiologists / biostatisticians 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 also essential.

About this role

As an epidemiologist / biostatistician, you will be primarily responsible for carrying out health-related data analysis and related tasks, such as data cleaning, drafting reports, and code review. In this intermediate-level position, you will collaborate with other team members to meet the needs of our clients, who range from small biotechnology start ups to large pharmaceutical manufacturers.

You will enjoy this role if you have:

  • 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;
  • Ability to think creatively and out-of-the-box with analytical problems.

You will be a good fit for this role if you:

  • Have a graduate degree (PhD preferred) in a quantitative field related to health or life science, such as biostatistics, epidemiology, bioinformatics, or computational biology/chemistry;
  • Can write robust code in at least one statistical programming language such as R (strongly preferred), SAS, Stata, Python, or MATLAB (note that you will primarily be using R for day-to-day tasks);
  • Have hands-on experience analyzing a variety of data sources, ideally including genomic data;
  • Are familiar with at least some statistical methods and approaches (examples include: sample size/power calculations, hierarchical models, causal inference, predictive analytics/machine learning, Bayesian modelling and computation);
  • Are able and willing to learn new complex methods as required.

You will be able to hit the ground running if you:

  • Have experience with genetic data (e.g., NGS) and genomics;
  • Are familiar with software version control and project management tools (e.g., git/GitHub, Jira);
  • Have experience with real world evidence or HEOR;
  • Can create visualizations, dashboards, or automated reports (e.g., ggplot2, R Markdown, plotly, Shiny);
  • Are experienced with cloud computing using AWS;
  • Have had industry/non-academic experience or internships.

What Precision Analytics can offer you

  • An opportunity to use your talent to empower ground-breaking research;
  • An environment in which you can continually learn and grow;
  • An annual professional development budget;
  • A remote-first work environment;
  • Competitive compensation, including an annual bonus;
  • Health and dental benefits.

Please include a cover letter with your application. Applicants are encouraged to provide examples of a technical project (e.g., GitHub repo, script, report, project, or published manuscript).

Note: Applicants must reside in Canada, be legally authorized to work in Canada, and be willing to work in Eastern Standard/Daylight Time. Exact start date is flexible. Employees may work remotely or from our offices in downtown Montreal.