Health data scientist
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.
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.
- 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.
- 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.
- 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).
- 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.