Health data scientist

Data science at Precision Analytics

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 also essential.

About this role

As a data scientist, 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 senior data scientists and software developers 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 (MSc or PhD) in a quantitative field such a mathematics, statistics, bioinformatics, computational biology/chemistry, biostatistics, or epidemiology;
  • Can write robust code in at least one statistical programming language such as R (strongly preferred), SAS, Stata, Python, or MATLAB;
  • Have hands-on experience analyzing a variety of data sources.

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

  • Are familiar with software version control and project management tools (e.g., git/GitHub, Jira);
  • Have experience with bioinformatics, genomics, or in vitro assay data;
  • 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.

Applicants are encouraged to provide examples of a technical project (e.g., GitHub repo, script, report, or published manuscript).

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.

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