Intermediate epidemiologist / biostatistician
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.
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.
- 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 (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.
- 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.
- 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.