Care Canvas Data Analyst - Toronto, Canada - University of Toronto

University of Toronto

Verified Company

Toronto, Canada

1 week ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Date Posted:08/30/2023

Req ID: 31562

Faculty/Division:
Temerty Faculty of Medicine

Department:
Department of Family & Community Medicine

Campus:
St. George (Downtown Toronto)

Position Number:

Description:

About us:

Home to over 40 departments and institutes, the University of Toronto's Temerty Faculty of Medicine lies at the heart of the Toronto Academic Health Science Network and is a global leader in ground-breaking research and education, spanning clinical medicine, basic science and the rehabilitation sciences sectors.

Your opportunity:

University of Toronto Practice Based Research Network (UTOPIAN) is a network that brings together Department of Family and Community Medicine (DFCM) researchers, primary care clinicians and practices from all its academic sites to answer important healthcare questions and translate findings into practice.

As Care Canvas Data Analyst, you will work in close collaboration with the UTOPIAN Associate Director and POPLAR IT Specialist to drive various research projects within UTOPIAN, with a focus on the Care Canvas Dashboard.

You will support the update of an existing quality improvement ("QI") dashboard which is used by primary care physicians and administrators and the creation of new data features and front-end integrations.

You will have end-to-end ownership of the project.

You will manipulate incoming data, create metrics, ensure that those changes are reflected properly in the front-end design of the dashboard, and ensure that the dashboard is accessed in a secure manner by end users.

Your responsibilities will include:

Developing project schedules including milestones, critical path, timelines, deliverables, and reporting
Analyzing complex data that requires great precision and attention to many details
Analyzing and writing program scripts to extract data from aPostgres database, reformat, analyze, then present data in a meaningful way for the target audience
Designing, optimizing and processing data sets
Running queries to gather data and maintaining data archives
Probing for information to determine requirements for ad hoc data requests
Training endusers on procedures and the use of system

Essential Qualifications:

Bachelor's Degree in Computer Science, Engineering, Informatics or related field or equivalent combination of education and experience
Minimum five years of relevant and related experience manipulating and analyzing a variety of data sources
Experience with and manipulating data in Python
Experience with NoSQL (MongoDB) data storage
Basic knowledge of SQL (PostGres)
Experience with AWS tools (Lambda, S3, DynamoDB, VPC)
Experience and understanding of current best practices regarding data security and authentication mechanisms (e.g., OAuth 2.0 and OTPs)
Applied knowledge of machine learning techniques such class regression, classification, natural language processing
Strong communication (verbal and written) and interpersonal skills with the ability toestablish positive working relationship with research scholars and colleagues
Selfmotivated, team player with strong organizational skills
Data modelling and data analysis skills
Decision making regarding work priorities and deadlines must be appropriate in order to maintain an orderly schedule and completion of deadlines materials
Independent judgment and analytical skills required to perform statistical analyses
Applied knowledge of machine learning techniques such class regression, classification, natural language processing
Ability to balance multiple priorities and simultaneously working with on several projects
Demonstrated ability to effectively interact with all levels of faculty, staff, researchers, clinicians, healthcare professionals and other collaborators
Tact, initiative, good judgment and patience
Ability to handle matters of a sensitive and confidential nature

Assets (Nonessential):

Experience with EMR data and/or administrative data
Experience with Python's SciKit Learn

To be successful in this role you will be:

Accountable
Communicator
Multitasker
Organized
Team player

This is a grant-funded contract position, ending in March 2024, with the posibility of extension.

Closing Date: 09/20/2023, 11:59PM ET

Employee Group:

USW

Appointment Type:
Grant - Term

Schedule:
Full-Time

Pay Scale Group & Hiring Zone:

Job Category:
Research Administration & Teaching

Recruiter:
Dinuka Perera

**Lived Experience Statement