Careers

Precision Analytics is a Montreal-based startup and boutique provider of data analytics solutions for health and life sciences. We design customized software platforms for organizations across all stages of the drug development process, from early stage biotechnology to post-marketing pharmaceutical research in larger firms. We also offer expertise in study design and advanced analytics, including predictive modelling, machine learning, and artificial intelligence (AI).

Current Positions

Epidemiologist/Biostatistician

About us

Precision Analytics is a startup based in Montreal, Canada, specializing in health data science. We harness the latest techniques in data science as tools for faster, better decision-making in the fields of biopharmaceuticals, health, and life sciences. We combine high-level analytics with thoughtful automation to provide fast, actionable insights from data. Our software solutions combine all three pillars of data science: data infrastructure, analytics, and communication.

As a company, we’re excited to continue building our talented team, forging relationships with organizations doing cutting-edge research, and solving challenging problems together. Our clients are working to solve exciting scientific problems, from innovative cancer research to scaling production of cannabis pharmaceuticals.

Specific technical qualifications include

  • Theoretical and applied background in statistics, including generalized linear models
  • Demonstrable knowledge of study design and research ethics
  • Experience with statistical analysis (e.g., analysis of real data, report writing)
  • Ability to write robust code in a statistical programming language (preferably R)
  • Experience generating data visualisations and automated reports (e.g., ggplot2, R Markdown)
  • MSc in epidemiology or biostatistics

Required non-technical skills

  • Ability to work both independently and in a team
  • Outstanding analytical, communication, storytelling and problem-solving skills
  • Accurately interpret statistical results and concepts
  • Ability to work on multiple tasks under tight timelines
  • Experience collaborating with non-technical collaborators and stakeholders

Nice-to-haves

  • Industry experience or relevant internships
  • Expertise with dashboard development using Shiny
  • Familiarity with software development practices (version control, Jira, testing, documentation)

Most critically, the right candidate is excited to work for a small startup, which will include wearing many hats, doing a variety of tasks in a fast-paced environment, collaborating with software developers and statisticians, and interfacing with clients and collaborators. Come work with us if you like participating in multiple projects at once, enjoy working closely with the end user of your work, and know when a bar plot is more appropriate than a sophisticated statistical model.

What we offer

  • 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
  • Competitive benefits (health & dental)

How to apply

We welcome everyone to apply, and we emphatically invite women, minorities, POC, and gender-non conforming folks to join our team.

Please send your resume (not a full academic CV), a cover letter explaining why you’re a good fit for this position, and at least one example of any relevant technical project to:

contact@precision-analytics.ca

Examples of a technical project could be a link to a GitHub repo, a coding script, a technical report, a published technical manuscript, etc.

We will not consider applicants who have not submitted their resume and cover letter

 

Internships

We’re also always looking for MSc, PhD and post-doctoral level interns for our internal R&D projects.

Please send your CV and Cover Letter to contact@precision-analytics.ca if you are interested.

No positions are open at this time

Send your CV to

contact@precision-analytics.ca

Our Location

5555 de Gaspé, Suite 118
Montreal, QC H2T 2A3