Job description

Job Number: JR101040

Job Title: Data Scientist

Job Category: Professional

Hospital Location: Centenary Site

Job Type: Temporary (Fixed Term), Full time

Contract Duration: 12 months

Number of Positions: 1

Hours: Days

Across our three hospitals and eight satellite sites, Scarborough Health Network (SHN) is shaping the future of care. Our many programs and services are designed around the needs of one of Canada’s most vibrant and diverse communities. We are home to North America’s largest nephrology program, as well as the designated cardiac care and spine centre for Scarborough and surrounding communities to the east. We are proud to be a community-affiliated teaching site for the University of Toronto and partner with a number of other universities and colleges, helping to train the next generation of health care professionals. SHN is the recipient of the Excellence in Diversity and Inclusion Award, from the Canadian College of Health Leaders, for our work led by the Organizational Development and Diversity Department on our Leading edge Communities of Inclusion, Inclusion Calendar and our innovative Health Equity Certificate programs. We are also proud to be named Canada’s Most Admired Corporate Cultures for 2023! Learn more at shn.ca

Responsibilities

Job Description:

  • 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 and implement machine learning models and algorithms to extract insights and generate predictions from health care data
  • Evaluate and validate the performance and impact of the data-driven solutions using appropriate metrics and methods
  • Create and maintain workflow to automate and streamline the data processing and modeling tasks
  • Present and communicate the data analysis results and recommendations to various audiences such as senior leadership team, program directors and clinical leaders using effective visualization and reports.

Required Skills And Qualifications

  • Bachelor’s degree or higher in computer sciences, statistics, mathematics, engineering, or related fields
  • At least 3 years of experience in data science, machine learning, or a related field
  • Proficiency with data mining, mathematics, and statistical analysis such as knowledge of statistical tests, distributions, regression, maximum likelihood estimations
  • Proficiency in programming languages including Python, R, SQL, SAS and its data science libraries, such as 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 pace, research-oriented environment that has several concurrent projects
  • Strong problem-solving and critical thinking skills, and a collaborative and proactive attitude
  • Pride in doing great work, a mindset of taking things to the finish line, and attention to detail.

Preferred Skills And Qualifications

  • Previous healthcare experience including knowledge of CIHI datasets such as DAD, NACRS, CCRS, NRS, OMHRS, HCRS).
  • Experience with data extract/structure in EPIC
  • Hands-on experience with any business intelligence (BI) reporting tool, especially Microsoft Power BI.
  • Working toward or completed data science related certifications such as Microsoft certified Azure Data Scientist Associate, PowerBI Data Analyst Associate, Fabric Analytics Engineer 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 SHNCareers on Instagram, Twitter, and Facebook.

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