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Data Scientist

Scarborough Health Network

Toronto

On-site

CAD 80,000 - 100,000

Full time

Today
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Job summary

A large Canadian healthcare organization seeks a skilled Data Scientist to join their Enterprise Analytics team. This role involves transforming complex healthcare data into actionable insights, developing predictive models, and collaborating with multidisciplinary teams. The ideal candidate will have expertise in data science, analytics, and programming, particularly in a healthcare context. This position offers the opportunity to make a significant impact on patient outcomes within a diverse community.

Qualifications

  • 2+ years of experience in data science or analytics, preferably in a healthcare setting.
  • Proficiency in programming languages including Python, R, SQL, and SAS.
  • Strong understanding of statistical tests and distributions.

Responsibilities

  • Analyze healthcare data from various sources like electronic health records.
  • Develop predictive models to support decision-making.
  • Present data analysis results to stakeholders through visualizations.

Skills

Data mining
Statistical analysis
Machine learning
Python
R
SQL
SAS
Data visualization
Communication
Problem-solving

Education

Bachelor’s degree in Data Science or related fields

Tools

Microsoft Power BI
Microsoft Azure
Job description
Overview

Join our Enterprise Analytics team and make an impact in Canadian healthcare. Scarborough Health Network (SHN) serves one of Canada’s most diverse communities through three hospitals and eight satellite sites. We offer comprehensive programs—including North America’s largest nephrology program—and are the cardiac care and spine centre for Scarborough and nearby areas. As a research hospital and teaching site affiliated with the University of Toronto and other institutions, we help train future health care professionals. Enterprise Analytics is a department within one of Ontario\'s largest community hospitals. The team provides analytical tools and insights to healthcare leaders to support their decision-making processes. We are seeking a skilled and motivated Data Scientist to join our team. This role is critical in transforming complex healthcare data into actionable insights that improve patient outcomes, optimize operations, and support strategic decision-making. The ideal candidate will have a strong background in data science, statistics, and healthcare systems.

Job Description: The Data Scientist will apply expertise in machine learning, natural language processing, and data visualization techniques to analyze large and complex data sets in support of SHN strategic initiatives. The role involves collaborating with multidisciplinary teams, including program directors, program analysts, clinicians, and researchers, and presenting findings and recommendations to stakeholders through clear visualizations and reports.

Responsibilities
  • Collect, clean, and analyze health care data from various sources such as enterprise data warehouse, electronic health record (EPIC), surveys and other health care data.
  • Develop predictive models and statistical analyses to identify trends, forecast outcomes, and support clinical and operational decision-making.
  • Evaluate and validate the performance and impact of the data-driven solutions using appropriate metrics and methods.
  • Create and maintain workflows to automate and streamline the data processing and modeling tasks.
  • Present and communicate the data analysis results and recommendations to audiences such as the senior leadership team, program directors, and clinical leaders using effective visualizations and reports.
Required Skills and Qualifications
  • Bachelor’s degree or higher in Data Science, Computer Sciences, Statistics, Health Informatics, Engineering, or related fields
  • 2+ years of experience in data science, analytics or machine learning, preferably in a healthcare setting
  • Proficiency with data mining, mathematics, and statistical analysis including knowledge of statistical tests, distributions, regression, and maximum likelihood estimations
  • Proficiency in programming languages including Python, R, SQL, SAS and its data science libraries (e.g., pandas, scikit-learn)
  • Advanced experience in pattern recognition and predictive modelling
  • Excellent communication and presentation skills, both verbal and written
  • Ability to work effectively in a dynamic, fast-paced, research-oriented environment with several concurrent projects
  • Strong problem-solving and critical thinking skills, and a collaborative and proactive attitude
  • Attention to detail and commitment to delivering high-quality work
Preferred Skills and Qualifications
  • Previous healthcare experience including knowledge of CIHI datasets such as DAD, NACRS, CCRS, NRS, OMHRS, HCRS
  • Experience with data extraction/ structuring in EPIC
  • Hands-on experience with BI reporting tools and cloud platforms, especially Microsoft Power BI, Microsoft Fabric, and Microsoft Azure
  • Familiarity with clinical workflows and healthcare operations
  • Knowledge of population health, value-based care, or epidemiology
  • Working toward or completed data science related certifications such as Microsoft Certified Azure Data Scientist Associate, Power BI Data Analyst Associate, Fabric Analytics Engineer Associate
Accommodation And Diversity Statement

Scarborough Health Network (SHN) embraces and celebrates our community’s unique multicultural heritage and diversity. SHN is an equal opportunity employer, dedicated to a culture of inclusiveness and diversity reflecting our diverse patients, staff and community alike. We are committed to fostering an environment of equity and inclusivity where every person can work and receive care safely, openly and honestly. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, nation of origin, genetics, disability, age, veteran status, marital or family status, belief system, or other factors related to one’s personal identity and/or values. We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). Should you require accommodation through any stage of the recruitment process, please make them known when contacted and we will work with you to meet your needs. Learn more about our exciting opportunities by following SHN Careers on Instagram, Twitter, and Facebook.

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