Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids) is one of the largest and most respected paediatric healthcare centres in the world. As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education. Our reputation would not have been built - nor could it be maintained - without the skills, knowledge and experience of the extraordinary people who come to work here every day. SickKids is committed to ongoing learning and development, and features a caring and supportive work environment that combines exceptionally high standards of practice.
When you join SickKids, you become part of our community. We share a commitment and determination to fulfill our vision of Healthier Children. A Better World.
Don't miss out on the opportunity to work alongside the world's best in paediatric healthcare.
Position Description
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The Congenital Heart Surgeons' Society (CHSS) Centre for Research and Quality (CRQ) (http://data-center.chss.org/) is a unique North American collaboration of pediatric cardiac surgeons dedicated to research to find better treatment for children with congenital heart disease. We are seeking a highly qualified Data Analyst to work on a large multicentre research registry. Under the supervision of the program manager and study investigators, the data analyst's primary responsibilities will be the analysis, interpretation, visualization and reporting of scientific findings from multiple clinical studies.
Here's What You'll Get To Do:
Integrate data from various sources for analysis, clean and recode data as needed
Extract data from existing databases/infrastructures using SQL
Oversee data quality monitoring, including processing, management and cleaning
Preparation of data summaries for research reports
Work extensively in Python/R including the development of data functions that manage and analyze data
Perform descriptive, predictive and prescriptive analyses using modern statistics and machine learning
Communicate results in high-quality tables and figures
Attend relevant meetings, courses or workshops as needed
Assist students, trainees, etc. with data analyses
Here's What You'll Need:
+ MSc degree in a relevant quantitative discipline required (candidates with BSc + relevant course work and experience may be considered)
1-year relevant experience (experience acquired through relevant coursework can be considered)
Excellent proficiency in statistics and machine learning using R and/or Python (preferably both) required
Expert proficiency in data management and data manipulation is required
Advanced knowledge of time-to-event (survival) analysis methods is required
Experience with real-world clinical/medical data (e.g. irregularly-measured data with measurement error and missing values) preferred
Evidence of advanced health or clinical research statistical skills (course work and practical experience) including competency in methods for handling sparse data with missing values required
Previous experience working in the MS Azure environment is required
Ability to create and deploy web applications (e.g. R shiny or other) a definite asset
Knowledge of deep learning methods using images an asset
Working knowledge of SAS and SAS macros an asset (to handle legacy code)
Content expertise on congenital heart disease and/or cardiovascular surgery are a definite asset
Proven ability to work with students/staff with limited statistics knowledge an asset
Demonstrated creativity and latitude in problem solving and ability to troubleshoot analytical challenges
Ability to prioritize and execute multiple competing tasks
Ability to work independently with minimal supervision
Excellent attention to detail
Excellent written and oral communication skills
Strong interpersonal and organizational skills
A commitment to understanding and aiding in the pursuit of equity, diversity and inclusion objectives
Candidates will be asked to complete a skills assessment using either R or Python programming language
Employment Type
: Full-time 1 year contract
Our Commitment to Diversity
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The children and families we care for are from a variety of communities, and so are our employees. We welcome and encourage everyone to join our organization and be part of our team.
When requested, SickKids will provide access and inclusion supports to eligible candidates to support their full engagement during the interview and assessment process. Information received related to access or inclusion will be addressed confidentially.
Thank you for your interest in joining SickKids. Only those applicants selected for an interview will be contacted. In accordance with our Hospital policy, employment at SickKids is conditional upon the Hospital's receipt of all necessary documentation.
How to Apply
Tip:
Combine your cover letter and resume into
ONE
document of 20 pages or less as you cannot upload multiple documents as part of your application.
If you are still experiencing technical difficulties please email ask.hr@sickkids.ca to send us a short description of the issues you are experiencing. Please note that
we will not accept resumes sent to this inbox
but we are happy to respond to requests for technical assistance.
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