Careers

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.

• 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

• 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

• 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.

Software developers at Precision Analytics work closely with our experienced data scientists which provides a unique opportunity for mutual learning. As a developer, you will not be limited to a small subset of basic development tasks; instead, you will play an integral role in all phases of the software development life cycle.

Specific responsibilities include:

• Designing and implementing new features and functionality based on client requirements
• Writing front- and back-end code for interactive dashboards
• Designing and implementing private APIs and client applications that interact with them
• Testing, debugging, and refactoring both new and existing code bases
• Performing code reviews and participating in pull-request reviews
• Assisting in the extract, transform, load (ETL) process for new data
• Deploying and maintaining web servers and database management systems

• Undergraduate training in computer science, software engineering, or a related field
• Experience writing and documenting production-ready code
• Proficiency with git and the Linux command line
• Ability to communicate in English clearly and accurately with people from various technical backgrounds

• Experience with R, SQL, and/or AWS
• Technical expertise in web application development and/or interactive data visualization
• Willingness to explore new programming paradigms and software libraries

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