Research Software Analyst

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: 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 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. Diversity Statement The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission. As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact #J-18808-Ljbffr