At a Glance
- Tasks: Analyze health data and support public health research through statistical methods.
- Company: Join a leading organization dedicated to improving public health across Alberta.
- Benefits: Competitive salary, flexible work locations, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on impactful research.
- Why this job: Make a real difference in public health by applying your statistical expertise.
- Qualifications: Master’s degree in Biostatistics or related field; Ph.D. preferred.
The predicted salary is between 98145 - 119955 $ per year.
Biostatisticiansapply statistical methods to analyze health data and support public healthresearch.
Location
- Various locations across
- Alberta
- Key
Responsibilities
- Design and analyzeepidemiological studies and clinical trials.
- Develop statistical modelsto interpret health data.
- Collaborate with researchersto inform public health policies.
- Present findings tostakeholders through reports and visualizations.
- Ensure the integrity and accuracy of dataanalysis.
Requirements
- Master’s degree in Biostatistics, Statistics, or related field; Ph. D. preferred.
- Proficiency in statisticalsoftware (e. g., R, SAS, STATA).
- Strong analytical andproblem-solving skills.
- Experience in public health research is a plus.
- #J-18808-Ljbffr
Biostatistician in Edmonton employer: destinationone Consulting
At Fairmont Jasper Park Lodge, we pride ourselves on creating a vibrant and inclusive work environment where our employees can thrive. As the Recreation Assistant Manager, you'll enjoy comprehensive benefits, opportunities for professional development, and a supportive team culture that values innovation and guest satisfaction. Located in the stunning Jasper National Park, working here means being part of a unique experience that combines breathtaking nature with exceptional hospitality.
We think you need these skills to ace Biostatistician in Edmonton
Statistical Methods
Epidemiological Study Design
Clinical Trial Analysis
Statistical Modelling
Data Interpretation
Collaboration
Public Health Policy
