Job Search and Career Advice Platform

Enable job alerts via email!

Research Software Analyst

University of Toronto

Toronto

On-site

CAD 67,000 - 87,000

Full time

7 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading Canadian university in Toronto is seeking a Research Software Analyst to enhance data-driven research within the Department of Medicine. The role involves implementing qualitative and quantitative analysis methods, developing machine learning models, and ensuring data integrity. Ideal candidates should possess a Bachelor's degree and two years of experience in research environments, demonstrating proficiency in Python and experience with research databases. This position is full-time for 12 months, offering a competitive annual salary ranging from $67,916 to $86,855.

Qualifications

  • Minimum two years of relevant experience supporting research.
  • Experience developing machine learning models with clinical data.
  • Strong communication skills to engage with stakeholders.

Responsibilities

  • Implement qualitative and quantitative research methods.
  • Analyze and process complex datasets.
  • Provide clear analytical insights for research teams.

Skills

Analyzing datasets
Python programming
Machine learning
Data quality assurance
SQL
Statistical reporting
Interpersonal skills

Education

Bachelor's degree or equivalent

Tools

Jupyter
Git
Job description

Date Posted: 12/08/2025
Req ID: 46321
Faculty/Division: Temerty Faculty of Medicine
Department: Department of Medicine
Campus: St. George (Downtown Toronto)
Position Number: 00058929

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

The Department of Medicine (DOM) is one of the largest in North America, with 830 full-time faculty members, 1,000 postgraduate trainees, and 20 specialty and sub-specialty divisions located across six fully-affiliated hospitals, four community-affiliated hospitals and more than a dozen additional clinical practice sites. We are a powerhouse of medical research, with more than $162-million in annual research funding. This research generates new knowledge with the goal of meaningfully impacting internal medicine training and the care and health outcomes of patients and their families.

As a Research Software Analyst, you will help advance data-driven research by applying qualitative and quantitative methods, processing and analyzing complex datasets, and contributing to the development of computational and machine learning approaches. You will ensure high standards of data quality, integrity, and reproducibility, maintain reliable research databases, and provide clear, analytical insights that support investigators, trainees, and collaborative research teams.

Your responsibilities will include:
  • Implementing and executing qualitative and/or quantitative research methods
  • Analyzing and writing program scripts to extract, reformat and analyze data
  • Running queries to gather data and processing data using technical tools
  • Analyzing datasets and preparing draft statistical reports and summaries from data collected
  • Providing detailed information on data analysis findings to stakeholders
  • Generating statistical graphics and data quality reports to support research publications
  • Verifying that datasets are properly entered and stored, maintaining databases, and correcting data discrepancies
  • Keeping well-informed on current technologies, best practices and industry standards to support data-driven research
Essential Qualifications:
  • Bachelor's degree or acceptable combination of equivalent experience
  • Minimum two (2) years of relevant experience supporting research using qualitative and quantitative research methods
  • Demonstrated experience developing machine learning models using clinical and physiological data
  • Experience refining and validating AI algorithms
  • Demonstrated experience analyzing and writing Python code for data preprocessing, feature extraction, modelling, and evaluation
  • Demonstrated experience running queries and managing clinical or research databases (e.g., SQL, CSV/SON)
  • Experience working with reproducible research tools or environments, such as Jupyter and Git, to support transparent workflows and publication-ready outputs
  • Experience preparing statistical reports, summaries, and visualizations to support research papers and presentations
  • Experience liaising with researchers or stakeholders to interpret computational needs and communicate analytical findings
  • Strong interpersonal and communication skills, with the ability to engage effectively with stakeholders at all levels and cooperate in multidisciplinary teams
  • Demonstrated ability to handle sensitive and confidential information with discretion and integrity, coupled with exceptional attention to detail and accuracy
Assets (Nonessential):
  • Master’s degree in related discipline
To be successful in this role you will be:
  • Communicator
  • Cooperative
  • Meticulous
  • Organized

Please Note: This is a 12-month term position.

Closing Date: 12/19/2025, 11:59PM ET
Employee Group: USW
Appointment Type: Grant - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone: USW Pay Band 09 -- $67,916. with an annual step progression to a maximum of $86,855. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Research Administration & Teaching
Recruiter: Sana J Mahmood

Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.