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University Health Network (UHN) is looking for an experienced professional to fill the key role of Technical Analyst I – QA Analyst in our Techna Institute.

Transforming lives and communities through excellence in care, discovery and learning.

Position: Technical Analyst I – QA Analyst
Site: Techna Institute
Department: Research
Reports To: Manager, Data Science Team, Cancer Digital Intelligence program
Salary Range: $60,762 to $75,972 per annum commensurate with experience and consistent with UHN Compensation Policy
Hours: 37.5 hours per week
Status: Permanent Full Time

Apply Here

Technical Analyst I – QA Analyst

Techna is a research institute at UHN that is focused on the advancement of healthcare technology. The Data Science team at Techna is looking for a dynamic software developer to join their team. The team works in close collaboration with care providers, researchers, and educators to develop innovative solutions that collect, manage, and leverage data to facilitate clinical research. Our systems are used in clinical practice and in multi-site research studies.

The Data Science team consists of developers, research analysts, and architects. The team works using Agile frameworks and in close collaboration with researchers and clinicians.

Key success factors for this role:

Implement, maintain, and execute manual and automated quality assurance and quality control processes
Oversee user requirement gathering and maintain thorough documentation records

ROLE OVERVIEW

As a QA Analyst, you will build and scale out the automation infrastructure from the ground-up. You will be writing high-quality automation testing code that is clean, readable and maintainable. You will collaborate with the Software Engineering team to help build new tests and champion good testability practices. You will also design and document test plans and test cases that will scale as we continue to build out our platform. You will collaborate with Product Managers and Business Analysts to collect user requirements and specifications when building out new software applications or validating existing tools. This role requires experience in working on multiple concurrent projects and products with diverse stakeholders to develop innovative healthcare solutions. You will work on novel health technologies that will help accelerate cancer research, including research data storage systems, health data interoperability platforms and integrated predictive models. You will be working within a dynamic software development team and you will learn and adapt rapidly while working in Agile mode. You will have the option to work remotely, on-site, or hybrid, with flex-hours.

RESPONSIBILITIES

Individual responsibilities

Manually test new features and bug fixes
Perform manual exploratory tests of features
Report software issues and follow up on issue resolution status
Define and script automated tests
Define and perform test plans and cases
Write software specifications and expected behavior
Report on the global product’s quality and on software and hardware components
Participate and contribute to technical design sessions
Contribute to technical design documentation and general documentation to be compliant with audit requirements
Be well informed about current trends in quality assurance

Team responsibilities

Work openly and collaboratively with other teams in the Techna department
Share knowledge with enthusiasm and empower your colleagues
Show respect and appreciation for your colleagues’ needs and appreciate differences as much similarities;
Work on multiple concurrent projects and products, effectively following timelines, goals, and cross-functional collaborations
Work in a process-oriented but agile mode
Take responsibility for your personal and professional development

QUALIFICATIONS

Qualifications:

Up to three (3) years of experience in testing software and quality assurance
A completion of an undergraduate degree or college diploma in computer science or related field
Experience in automated software testing
Understanding of testing techniques (e.g. performance, unit, integration, automated), their strengths and weakness, and ability to use them
Ability to use tools such as puppeteer.js or Selenium
Experience with JavaScript, recommended
Ability to balance quality requirements and time constraints
A track record of working on complex software projects

Vaccines (COVID and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code.

University Health Network (UHN) is looking for an experienced professional to fill the key role of Data Science Analyst/Engineer in our Cancer Digital Intelligence Department

Transforming lives and communities through excellence in care, discovery and learning.

Position: Data Science Analyst/ Engineer
Site: Princess Margaret Cancer Centre
Department: Cancer Digital Intelligence
Reports to: Principal Investigator
Salary range: $62,166 to $77,688 per annum (Commensurate with experience and consistent with UHN Compensation Policy)
Hours: 37.5 hours per week
Status: Permanent Full-time

Apply Here

Data Science Analyst/ Engineer

We are looking for a Data Science Analyst/Engineer with specialized skills in ETL pipelines to join our Cancer Digital Intelligence Program at the Princess Margaret Cancer Centre (PM), University Health network (UHN).
The PM Cancer Digital Intelligence (CDI) program’s focus is to accelerate the application of discoveries in cancer care through the fusion of human wisdom, data and technology. CDI is one of the strategic pillars outlined in the PM 2030 vision, alongside Early Detection, Beyond Chemotherapy, and Comfort and Confidence.

At CDI, we develop the infrastructure and solutions needed to harness the profusion of health information for innovative care solutions. Our data-driven solutions span three primary innovations areas, all of which are supported by our Data Science and Analytics core: Care Innovation, Business Intelligence, and Discovery Integration.

This role will involve building deep expertise and understanding of different healthcare data types in order to effectively process them for eventual use in advance novel applications of data visualization, digital platforms, and highly-contextualized applications of artificial intelligence (AI) and machine learning (ML) methods. The team works in close collaboration with care providers, researchers, and educators to develop innovative solutions that collect, manage, and leverage data to facilitate clinical research and translational care practices. Our systems are used in clinical practice and in multi-site research studies.

As a Data Science Analyst/Engineer, you will help to drive data and enabled services that impact patient experiences at Princess Margaret Cancer Centre. You will design, build and launch efficient and reliable data pipelines that move and transform data. You will gain a deep understanding of healthcare data systems and the data they produce, and become our resident expert on how to transform that data into a format that is useful for analytics, clinical care, and ML solutions.

This role is highly collaborative. You will work with subject matter experts, data scientists, and care providers to understand their nuanced data requirements. You will have the option to work remotely, on-site, or hybrid, with flex-hours.

INDIVIDUAL RESPONSIBILITIES

Assist in the design, build and launch of efficient and reliable data pipelines to move and transform data;
Assemble large, complex datasets that meet privacy, research and clinical requirements;
Develop quality control and data processing tools for a broad range of digital and clinical data types;
Collaborate with clinical care providers, subject matter experts, researchers and educators to understand data requirements;
Interpret and communicate results and methods.

TEAM RESPONSIBILITIES

Work openly and collaboratively with all pillars of the PM Cancer Digital Intelligence Program;
Self-Motivate and set high standards of performance while driving for results and achievements;
Share knowledge with enthusiasm and empower your colleagues;
Show respect and appreciation for your colleagues’ needs and appreciate differences as much similarities;
Work on multiple concurrent projects and products, effectively following timelines, goals, and cross-functional collaborations;
Take responsibility for your personal and professional

QUALIFICATIONS

Undergraduate degree in computer science, computer engineering or related disciplines, with up to one (1) year of practical and related experience;
Experience with healthcare data is preferred;
Required technical skills:
- Expertise with Python, C#, C++, and ability to learn new coding languages as required;
- API development and management;
- Bash scripting and experience with cluster computing;
Excellent verbal communication skills, organization, prioritization skills, and ability to learn quickly and work independently;
Curious mindset and passion for problem-solving and experimentation.

Vaccines (COVID and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code.

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