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Data Scientist

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Scarborough Health Network

Sep 12, 2024

  • Job
    Full-time
    Mid Level
  • Data
  • Quick Apply

AI generated summary

  • You need a bachelor’s degree, 3+ years in data science, skills in Python/R/SQL, statistical analysis, and excellent communication. Healthcare experience and BI tools knowledge are preferred.
  • You will collect and analyze health care data, develop machine learning models, validate solutions, automate data processes, and communicate findings effectively to leadership and clinical teams.

Requirements

  • 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

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 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.

FAQs

What is the job title of the position being offered?

The job title of the position being offered is Data Scientist.

What is the duration of the contract for this position?

The contract duration for this position is 12 months.

What educational qualifications are required for this job?

A Bachelor’s degree or higher in computer sciences, statistics, mathematics, engineering, or related fields is required.

How many years of experience in data science or a related field is needed?

At least 3 years of experience in data science, machine learning, or a related field is needed.

Is previous healthcare experience preferred for this position?

Yes, previous healthcare experience, including knowledge of CIHI datasets, is preferred for this position.

What programming languages should candidates be proficient in?

Candidates should be proficient in programming languages including Python, R, SQL, and SAS, along with its data science libraries.

Are there any preferred certifications for this job?

Yes, working toward or completed data science-related certifications such as Microsoft certified Azure Data Scientist Associate or PowerBI Data Analyst Associate is preferred.

What analytical skills are required for this role?

Proficiency in data mining, mathematics, and statistical analysis such as knowledge of statistical tests, distributions, regression, and maximum likelihood estimations is required.

What are the working hours for this position?

The working hours for this position are during the days.

Does Scarborough Health Network offer an inclusive work environment?

Yes, Scarborough Health Network embraces diversity and is committed to fostering an environment of equity and inclusivity.

How will I be able to communicate the results of my data analysis?

You will be responsible for presenting and communicating data analysis results and recommendations to various audiences using effective visualization and reports.

What kind of data will I be working with in this position?

You will be collecting, cleaning, and analyzing healthcare data from various sources, including enterprise data warehouses, electronic health records (EPIC), and surveys.

Is there a specific location for this job?

Yes, the job location is at the Centenary Site of Scarborough Health Network.

Are there any specific tools mentioned for business intelligence reporting?

Yes, hands-on experience with any business intelligence (BI) reporting tool, especially Microsoft Power BI, is preferred.

Can I request accommodation during the recruitment process?

Yes, if you require accommodation during any stage of the recruitment process, you should make it known when contacted, and they will work with you to meet your needs.

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Scarborough Health Network

Where the World Comes to Work

Science & Healthcare
Industry
5001-10,000
Employees
2018
Founded Year

Mission & Purpose

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.