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Research Data Scientist - Spine Surgery Research Group - Job Opportunity at Unity Health Toronto

Toronto, Canada
Casual
Mid-level
Posted: May 18, 2025
On-site
CAD 102,606-128,252 per year

Benefits

Healthcare benefits (implied as healthcare organization)
Professional development opportunities
Work-life balance initiatives
Collaborative research environment
Access to cutting-edge medical research resources

Key Responsibilities

Lead advanced statistical analysis and machine learning implementations for spine surgery research
Design and implement predictive models for clinical outcomes
Develop and maintain production-ready ML systems
Create interactive data visualizations and research dashboards
Ensure data quality and documentation standards
Collaborate with clinical research teams on study design

Requirements

Education

Masters level degree in Clinical Epidemiology, mathematics, statistics, biostatistics, computer science, or related discipline

Experience

1 year minimum professional data science experience

Required Skills

SQL, R and/or Python (4-5 years) Machine learning model implementation Statistical analysis Data visualization Version control (Git) MS Office proficiency Data preprocessing and quality control Communication and presentation skills
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Sauge AI Market Intelligence

Industry Trends

Healthcare organizations are increasingly investing in advanced analytics capabilities for improving patient outcomes and operational efficiency. Integration of machine learning in clinical research is becoming standard practice, particularly in specialized fields like spine surgery. Growing demand for data scientists who can bridge the gap between technical implementation and clinical application.

Salary Evaluation

The offered salary range of CAD 102,606-128,252 is competitive for a mid-level healthcare data scientist in Toronto, aligning with market rates for specialized medical research positions.

Role Significance

Likely part of a specialized research team of 5-8 members, including clinical researchers, statisticians, and other data scientists.
Mid-level position with significant technical autonomy and research impact, requiring both independent work and collaborative abilities.

Key Projects

Clinical outcome prediction models for spine surgery Patient risk stratification systems Real-time monitoring systems for surgical outcomes Research protocol development and implementation

Success Factors

Strong foundation in both statistical methods and machine learning techniques Ability to translate complex analytical findings into actionable clinical insights Excellent documentation and reproducible research practices Effective communication with clinical stakeholders

Market Demand

High demand position with strong growth potential, particularly as healthcare organizations continue to expand their data science capabilities and research programs.

Important Skills

Critical Skills

Advanced statistical modeling expertise Machine learning implementation skills Healthcare data analysis experience Strong programming abilities in R/Python

Beneficial Skills

Experience with clinical data systems Knowledge of medical terminology Understanding of research methodologies Data visualization expertise

Unique Aspects

Specialized focus on spine surgery research provides unique exposure to complex medical data analysis
Opportunity to work directly with clinical researchers and surgeons
Balance of research rigor with practical clinical applications

Career Growth

2-3 years in role before advancement, depending on project impact and skill development

Potential Next Roles

Senior Data Scientist in Clinical Research Lead Research Data Scientist Clinical Analytics Manager Head of Healthcare Data Science

Company Overview

Unity Health Toronto

Unity Health Toronto is a leading academic health science center, combining excellence in clinical care, research and teaching.

Major player in Canadian healthcare research and innovation, particularly in specialized medical fields.
Significant presence in Ontario's healthcare research landscape with strong academic partnerships.
Collaborative academic medical environment with emphasis on research excellence and clinical impact.
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