Casual and other opportunities

Organization: University of Waterloo / Campus Wellness

Location: 200 University Avenue West, Waterloo, ON N2L 3G1

Profession: Physician

Specialty: Family Medicine

Job Type: Full Time or Part Time

Number of Openings: 6

Primary Compensation Type: Fee-For-Service Split

Bilingual or Francophone Candidate Required: No

Teaching Opportunity: No

Research Opportunity: No

Supervision Provided: No

Practice Type: Clinic only

Published Date: June 16, 2023

The University of Waterloo, Campus Wellness is looking full, or part time family physicians required for the medical clinic. As part of a multidisciplinary primary care team including nurses, nurse practitioners, dietitians and venipuncturist. The successful candidates will provide healthcare to a diverse population of University of Waterloo students.  A comfort level and competence in mental health issues is beneficial. Significant support is available with regular interaction and shared care possibilities with psychiatrists, psychologists, social workers, and counsellors.  There is also a preference for candidates with demonstrated capacity to work with diverse communities such as the BIPOC and/or LGBTQS2+ communities.  Position is fee for service with an 80/20 split with special consideration given for mental health appointments. Successful candidates will be a medical practitioner licensed to practice medicine in the Province of Ontario and a member in good standing of the College of Physicians and Surgeons of Ontario (CPSO).

To apply: Please e-mail CV to goldi.gill@uwaterloo.ca

Equity Statement

The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within our Office of Indigenous Relations.

The University values the diverse and intersectional identities of its students, faculty, and staff. The University regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. The University of Waterloo seeks applicants who embrace our values of equity, anti-racism and inclusion.  As such, we encourage applications from candidates who have been historically disadvantaged and marginalized, including applicants who identify as First Nations, Métis and/or Inuk (Inuit), Black, racialized, a person with a disability, women and/or 2SLGBTQ+.

Positions are open to qualified candidates who are legally entitled to work in Canada.

The University of Waterloo is committed to accessibility for persons with disabilities. If you have any application, interview, or workplace accommodation requests, please contact Human Resources at hrhelp@uwaterloo.ca  or 519-888-4567, ext. 45935.

Department: Research / Schlegel-UW Research Institute for Aging (RIA)

Posting Date: June 13, 2025–July 3, 2025

Term: Indefinite-term contract

Hiring Range: $80,000 - $95,000 annual salary

Vacancy: New position

Benefits: Extensive benefit package inclusive of health, dental, RRSP matching, and paid personal days. Hybrid working options available for team members.

Background

The Schlegel-UW Research Institute for Aging (RIA) is a charitable non-profit organization that partners with the University of Waterloo, Conestoga College, and Schlegel Villages to enhance care and quality of life for older adults. Through engagement with key partners and collaborators, RIA supports practice relevant research and knowledge mobilization. Research evidence is used to inform programs, education and training, and influence practice and policy.

RIA’s research department is a dynamic, collaborative, and impact-focused portfolio. The department is responsible for research, evaluation and knowledge mobilization projects that embrace partnerships with researchers, people with lived experience, and sector organizations. The department is deeply committed to collaboration, responsiveness, and real-world application of evidence. In collaboration with other RIA departments, the research department works across disciplines to support system-level change in aging, seniors care, and seniors’ health and well-being.

Primary Purpose

The Senior Data Analyst is a self-motivated and detail-oriented leader who will drive the data analysis strategy and execution for research and evaluation projects. This role requires strong analytical expertise, proficiency in advanced software, and the ability to guide data-driven insights to inform decision-making for both technical and non-technical partners. The Senior Data Analyst will lead and collaborate with RIA researchers, team members and partners across all phases of research and evaluation initiatives, from conceptualization to dissemination, ensuring rigorous methodology and high-quality outputs.

Key Accountabilities

1. Analysis Design and Data Management: Develop and implement analysis plans to align with research and evaluation project outcomes.  Responsible for the maintenance and security of data, codebooks, files and other supporting documentation. Develops a deep understanding of available data and systems and applies current trends and methodologies in aging research and evaluation. Able to appropriately document data cleaning, analysis and processes for all projects in a way that is reproducible and transparent. Contribute expertise to grant proposal development.
2. Data Analysis: Collect, clean, validate, analyze and manage quantitative and qualitative data. Ability to identify patterns, interpret results, and draw meaningful conclusions from data. Problem-solving mindset, including identifying opportunities for improvement and providing data-backed recommendations to apply a range of analytical techniques.
3. Communication and Reporting: Contribute significantly to the creation and editing of written reports, policy briefs, presentations, and publications. Prepare high quality visuals and communication products for diverse audiences. Be able to present and explain findings effectively to a variety of internal and external audiences, as needed.  Actively contribute to meeting discussions by providing data-driven insights to inform decision-making.
4. Teamwork: Work closely with a variety of internal and external partners on a variety of projects to support project outcomes. Provide leadership and mentorship to project teams to support their understanding of data analysis. Actively participate in team and organizational-wide meetings in-person and virtually.
5. Other: Take on a variety of RIA projects and activities, as they arise.

Position Requirements

Education:

Master’s degree or equivalent experience in computer science, epidemiology, statistics, mathematics, health sciences, or other relevant discipline. 

Skills and Experience:

• A minimum of 3 years experience leading analysis of applied research and/or evaluation projects.
• Proficient in synthesizing, interpreting and communicating complex data findings.
• Strong analytical and critical thinking abilities.
• Proficient in producing documentation to support data, including codebooks, user guides, etc.
• Proficiency in at least one, typically R or Python, for data manipulation, analysis, and statistical modelling.
• Experience designing and conducting mixed-methods analysis, including integrating quantitative and qualitative data.
• Strong understanding of research ethics, data privacy, and secure data handling practices.
• Strong written and verbal communication skills for reporting, proposals, meetings and presentations.
• Excellent interpersonal and communication skills to work effectively with internal and external partners.
• Highly motivated, detail-oriented individual with the ability to multitask, prioritize, and meet tight deadlines and manage change within a high demand environment.
• Experienced at agenda setting and driving and participating in collaborative decision-making.
• Knowledge about the senior living sector is an asset.
• Proficiency in the use of computers and various software applications including, Google Workspace, and Microsoft Office.

Additional Requirements:

• Fluency in English. Fluency in French is an asset but not required.
• Must have a valid driver’s licence and be available for occasional travel.
• Eligible to obtain a clear police background and record check.
• Eligible to work in Canada.

Scope of Work

• Interpersonal Skills: Communicates effectively with internal team members and external partners; professionally represents the RIA in all communications and at events.
• Level of Responsibility: Responsible for giving leadership to effective and efficient development and implementation of analysis plans in alignment with the goals and objectives.
• Decision-Making Authority: Responsible for the day-to-day execution of analysis and supporting project and research-department strategic decision-making. 
• Physical and Sensory Demands: Minimal demands, typical of a position operating within an office environment; periods of extensive sitting at a desk and in meetings and concentrated use of visual senses; substantial repetitive keyboard/mouse movement; high sensory demands because of required concentration and attentiveness to detail and regular distractions and interruptions.
• Working Environment: Much of the time is spent sitting in a comfortable position with frequent opportunities to move about. The office is located in a comfortable indoor area and options for hybrid work are available for this position. The work is varied and assignments may change frequently. Work will involve regular interaction with RIA team members and external partners and collaborators. There are deadline pressures, while at the same time there is a demand for thoroughness and accuracy. Occasional travel is required.

Vaccination Statement

All researchers, employees and students of the RIA who will work with long-term care homes, colleges, universities and other partners are required to comply with the vaccination policies of those external organizations to complete their work. Of note, vaccination policies are subject to change. The requirement to comply with those evolving policies does not change.

Equity Statement

The RIA is committed to equity, diversity and inclusion within its community and organization. We strongly welcome and encourage applications from Indigenous Peoples, racialized groups, women, 2SLGBTQI+ people, persons with disabilities and people from other equity-deserving groups

The RIA is pleased to accommodate individual needs in accordance with the Accessibility of Ontarians with Disabilities Act, 2005 (AODA) within our recruitment process. If you require accommodation at any time throughout the recruitment process, please let us know.

Funding Statement

Please note that all positions at the RIA and the continuation of these positions are conditional upon funding.

How to Apply

RIA invites applications (cover letter and resume) to be submitted by email to applications@the-ria.ca.  Please include the job title in the subject line of the email. 

Location: University of Waterloo, Waterloo, Ontario, Canada
Department: Department of Chemistry
Duration: 1-year term (renewable based on performance and funding)
Start Date: Immediately or no later than September 1, 2025

Position Summary:

We invite applications for a Postdoctoral Scholar position in the exciting interdisciplinary field of biomedical signal processing and assisted diagnosis. The successful candidate will lead and contribute to research at the intersection of biosensing, medical imaging, and AI-driven diagnostics. This position offers a unique opportunity to work with a collaborative team on translating complex bioanalytical data into meaningful clinical insights and delivering innovative healthcare solutions.

Key Responsibilities:

• Analyze and interpret biosensing signals, including electrochemical sensing data (CV, EIS), physiological waveforms (e.g., ECG, EEG), and imaging data (e.g., MRI, CT, ultrasound).
• Develop and apply algorithms for assisted diagnosis, incorporating machine learning and data-driven approaches.
• Preprocess, extract, and classify features from multi-modal datasets to support diagnostic applications.
• Collaborate with clinicians and experimental researchers to validate methods and assess clinical relevance.
• Publish findings in peer-reviewed journals and present at leading scientific conferences.
• Support grant writing and mentor graduate students as needed.

Required Qualifications:

• Ph.D. awarded after September 1, 2022, in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Health Informatics, Statistics, Applied Math, or a related discipline.
• Experience working with clinical datasets or in translational research environments with knowledge of clinical data storage and management, and standards for structured health information.
• strong background and demonstrated experience in machine learning and AI tools.
• Demonstrated experience in assisted or automated diagnostic systems using machine learning or AI tools.
• Proficiency in processing and interpreting sensing data, medical images and physiological signals (e.g., ECG, EEG).
• Skilled in programming (Python, MATLAB, R, or similar) and data visualization.
• Strong communication skills and ability to work in a multidisciplinary environment.

Preferred Qualifications:

• Strong publication record in high-impact biomedical or engineering journals.
• Knowledge of data security frameworks and experience with cloud deployment in healthcare environments.
• Familiarity with regulatory, privacy, and ethical considerations in healthcare data analysis.

To Apply:

Please submit the following documents to tangxw@uwaterloo.ca:

• Curriculum Vitae
• Cover Letter detailing your research interests and relevant experience
• Contact information for 2–3 academic or professional references

Applications will be reviewed on a rolling basis until the position is filled.

We encourage candidates from diverse backgrounds to apply.