Date Posted: 12/18/2024
Req ID: 41159
Faculty/Division: Faculty of Pharmacy
Department: Faculty of Pharmacy
Campus: St. George (Downtown Toronto)
Position Number: 00051323
About us:
The Leslie Dan Faculty of Pharmacy at the University of Toronto is Canada’s top faculty of pharmacy and ranked among the top in the world. We bring together Canada’s leading scientists, researchers, and educators in the heart of Toronto’s innovation and health research ecosystem. We advance professional pharmacy practice and pharmaceutical science through world-leading education and research and are recognized worldwide for our outstanding scholarship, ingenuity, creativity, and impact.
Our faculty, students, staff, and alumni come together to create a vibrant, collaborative environment rich with possibilities. We are at the forefront of redefining pharmacy’s impact in health care and developing the capacity of pharmaceutical science to pinpoint better therapeutic targets, create new ways of building medications, and ensure medication use is safe and effective.
Your opportunity:
You will join a team that focuses on research in developing real-world evidence to inform provincial and national drug policy and the post-marketing surveillance of medications. We have a keen interest in leveraging big data to answer important health care questions. Specifically, we aim to ensure the appropriate and safe use of medications and the sustainability of public drug programs. We work directly with health system stakeholders and decision-makers to translate knowledge to action and enhance the meaningfulness of our studies.
As the Research Analyst, you will be responsible for applying analytic research expertise to a number of projects using administrative health and population-based data in a secure data environment. You will develop study designs, create study cohorts and conduct statistical analyses according to defined plans. You will interpret data, prepare tables and work collaboratively with project teams to assist in preparing reports, manuscripts and presentations.
Your responsibilities will include:
- Analyzing and writing program scripts to extract, reformat and analyze data
- Preparing draft statistical reports and summaries from data collected
- Formatting research results to be presentable and easily comprehensible
- Fostering positive relationships with project partners, advising on research project design and ensuring that research practices adhere to policies and procedures
- Delivering presentations at conferences
- Tracking and monitoring research activities and informing stakeholders of project progress
- Maintaining project records and checking that projects adhere to ethical and privacy requirements
Essential Qualifications:
- Master's Degree with a background in biostatistics, epidemiology or acceptable combination of equivalent education and experience
- Minimum three years of relevant work experience that includes manipulating and analyzing large health administrative databases or equivalent
- Demonstrated experience conducting statistical analysis using SAS (including SAS macros)
- Experience with multiple types of statistical analysis, including: binomial, and multinomial logistic regression, Poisson regression, negative binomial regression, categorical data analysis, survival analysis, predictive modelling, imputation methods
- Experience in analysing administrative claims data
- Understanding of pharmacoepidemiologic methods
- Experience drafting data-access paperwork for data access (e.g. Project Activation Worksheet, Privacy Impact Assessment, Dataset Creation Plan) for ICES
- Experience writing and submitting manuscripts for publication in peer-reviewed journals and experience presenting at academic conferences
- Familiarity with privacy protection procedures
- Demonstrated experience with data management and resolving data issues
- Substantive knowledge and expertise in biostatistics, chronic disease epidemiology and chronic disease prevention
- High proficiency with MS Office Suite such as Word, PowerPoint, and other software packages (i.e. SAS) and programming languages currently used to collect, analyze and report data
- Demonstrated ability to prioritize and manage several projects simultaneously
- Strong communication (written and verbal), and interpersonal skills
- Excellent organizational skills, time management and problem-solving skills with the ability to meet conflicting priorities and balance multiple projects
- Demonstrates initiative and possesses a strong commitment to research work
- Strong commitment to accuracy and attention to detail
To be successful in this role you will be:
- Intuitive
- Organized
- Resourceful
- Team player
Note: This is a term position for one (1) year .
Closing Date: 01/10/2025, 11:59PM ET
Employee Group: USW
Appointment Type : Grant - Term. This is a term position for one (1) year .
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 11 -- $75,223. with an annual step progression to a maximum of $96,196. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Research Administration & Teaching
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.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
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
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