Research Data Analyst (GEN)

Job Number: JR105614

Job Title: Research Data Analyst (GEN)

Job Category: Professional

Hospital Location: General Site

Job Type: Permanent, Full time

Number of Positions: 1

Union:

Minimum - Maximum Hourly Rate: $50.296 - $58.306

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 2021 Excellence in Diversity and Inclusion Award, from the Canadian College of Health Leaders, for our leading edge work on Communities of Inclusion, Inclusion Calendar, Health Equity Certificate Program and much more. We are also proud to be named Canada’s Most Admired Corporate Cultures for 2023 and 2024! Learn more at shn.ca

Job Description:

Position Overview:

In this job, you will perform and support research activities pertaining to data analytics at the Scarborough Health Network (SHN) under the direction of the Scarborough Health Network Research Institute (SHNRI) and principal investigators for research studies. The SHNRI is dedicated to supporting SHN researchers and their teams in achieving their research goals. It provides the necessary oversight and guidance to ensure regulatory compliance, grant administration, and quality control in study conduct. This role supports data analytics in research at SHN, including collaboration with investigators, trainees, and internal and external partners.

This role will be focused on supporting research at SHNRI through full data pipeline processing and analysis guided by research protocols. This will include electronic health record database queries, data processing and cleaning, planning and fitting models ranging from machine learning to Bayesian analyses to more conventional statistics, crafting tables and figures, and supporting the integration of these materials into research outputs such as grants and manuscripts. The role will have the opportunity for the development of methodological and data-analytics-related research topics, and the successful applicant is anticipated to be a co-author on all projects to which they contribute where they meet the ICMJE criteria for authorship.

They will be required to use their computational and statistical expertise to support the data analytics aspects of research at SHN. The individual must abide by and adhere to hospital and RI policies and procedures with regards to various sources of information such as health records and databases and maintain the confidentiality of patient files and study data. This role will be a hybrid role and will require travel between and working at all 3 SHN sites.

Responsibilities:

• Build database queries to acquire information from the electronic health record, according to REB-approved case-report forms and research protocols

• Process and clean the acquired data as needed according to the planned analyses

• Store and handle all data in a secure and REB-approved manner

• Collaborate with clinicians to troubleshoot queries and ensure that the queries return the expected information

• Advise collaborating investigators and trainees regarding potential statistical models based on their proposed research question or protocol

• Lead the drafting and creation of statistical analysis protocols

• Code and perform analyses according to protocols

• Fit models using a range of quantitative techniques ranging from machine learning to Bayesian analysis

• Craft tables, figures, and results according to research protocol specifications

• Collaborate with research teams to refine statistical analysis plans and outputs

• Support data analytical aspects of REB submissions

• Ensure maintenance of an accessible and organized code base to reduce duplication of effort and support principles of open science and reproducibility

• Provide orientation and training to new team members regarding the structure and operating procedures of the research team in regards to data analytics

• Support the preparation of grants and manuscripts by preparation of tables and figures, critical interpretation of results, crafting of methods section and limitations text

• Estimate the time requirements for proposed or future work relating to data analytics to support grant proposals and budgeting

• Support the overall academic development of SHN by providing data analytics and statistical feedback on academic work by trainees

Requirements:

• Master’s degree in Statistics, Data Science, Computer Science or other quantitative field

• 4 + years of experience and/or education

Nice to have:

• PHD in Statistics, Data Science, Compute Science or other quantitative field

• Experience with Epic databases including Clarity and Caboodle

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.