Senior Statistician (HEOR) at Broadstreet Health Economics and Outcomes Research
Vancouver, BC V5Y 1L8, Canada -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

120000.0

Posted On

20 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Epidemiology, Sas, Software, Statistics, Written Communication, Management Skills, Public Health, Leadership, Biostatistics, R

Industry

Hospital/Health Care

Description

We are an independent consultancy in Vancouver, British Columbia, specializing in patient-centered research, epidemiology, evidence synthesis, and health economics. Our team comprises epidemiologists, health economists, statisticians, qualitative researchers, and IT specialists. Our projects are led by senior team members with extensive experience across a wide range of HEOR studies. We have an extensive network of external academic and clinical experts who collaborate on studies that lie within their core areas of expertise.
We are looking to hire an experienced statistician to join our team and contribute to a variety of research projects. In this role, you will be responsible for analyzing data, managing datasets, creating visualizations, and interpreting study results. You will conduct both descriptive and inferential statistical analyses, determining the appropriate statistical methods to meet specific research objectives. As a key resource for non-statistically trained colleagues, you will provide guidance on statistical techniques and assist with interpreting results. A solid understanding of real-world evidence and the analysis of large databases is essential, and familiarity with evidence synthesis is a plus.
This is a permanent full-time position, with preference given to candidates located in Vancouver, Toronto, or Ottawa.

JOB QUALIFICATIONS:

· Master’s degree in Statistics, Biostatistics, Public Health or Epidemiology with a statistical focus
· Extensive knowledge of statistical software packages: R required, SAS not required, but will be considered an asset
· Advanced knowledge of the Microsoft Office Suite
· Experience in analysis and interpretation of medical/health related data
· Familiarity with Bayesian methodologies, including software such as JAGS or Stan
· SQL coding not required, but will be considered an asset
· Experience conducting meta-analyses and network meta-analyses is desirable.
· Ability to perform and interpret complex statistical analyses
· Ability to self-motivate
· Managerial, leadership and project management skills
· Excellent oral and written communication
· Organizational, multitasking, and problem-solving skills, with the ability to work independently within a team environment as well as the ability to work under pressure to meet deadlines.

Please include in your submission package:

  • Curriculum Vitae
  • Recent published peer-reviewed papers, if applicable
  • Experience and interests
Responsibilities

· Manage and retrieve data from cohort-based studies, including writing programs to generate analytical datasets.
· Provide analytical support for research by applying quantitative data analysis using descriptive and statistical methodologies.
· Collaborate on writing scientific papers, contributing statistical results, writing methods and results sections, and preparing tables and figures
· Work with project leads to ensure research design aligns with study objectives.
· Acts as a statistical resource for colleagues, including creating graphics and teaching basic statistical concepts to non-statistically trained colleagues and answering coding-related questions.
· Knowledge of designing relational databases would be considered an asset.

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