¸APTPUO - BMG5111 B - Winter 2027

Job summary

The professor will teach a course on medical informatics and telemedicine, focusing on the application of data science in healthcare decision-making. Responsibilities include delivering course content, facilitating hands-on experience with data tools, and guiding students through data analysis and modeling techniques.

Job details

Posting Reason: New Position Location: Main Campus Academic Period: 2027 Winter Semester Faculty: Faculté de génie / Faculty of Engineering Academic Unit: Département de génie mécanique \\ Department of Mechanical Engineering Course Title: Advanced Topics II Medical Informatics and Telemedicine Course Code: BMG5111 Section: B Course Description: It is vital for healthcare service provider’s policy leaders, analysts, and healthcare managers to gain an understanding of how data science can be used to positively support the decision-making processes of the health services, specially in the field of medical informatics and medical diagnosis. A knowledge and skill base in data sciences is becoming an increasing desirable for individuals working in developing medical informatic applications. A strong understanding of data science enables medical engineers to forecast emerging trends, identify potential future behavior, discover patterns, inform policy, and generate meaning from the vast amount of data that streams in and through the healthcare work environments. Essential data science concepts relevant to practical applications are covered in this course including problem formulation; data acquisition; data pre-preprocessing, modeling, simulation, and analysis. Hands on experience with data science tools, techniques and technologies will be discussed. Data integration, analysis, and presentation of results; comprehensive applications data warehousing and mining, data in areas medical informatics will be explained. Posting limited to: Professeur à temps-partiel régulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/10/02 Applications must be received BEFORE (YYYY/MM/DD): 2026/11/02 Expected Enrolment: 25 Approval date: 2026/10/02 Number of credits: 3 Work Hours: 39 Hourly Rate: Enseignement / Teaching: $239.47 (2024-2025) The academic year starts on September 1 and ends on August 31. These rates do not included vacation pay nor statutory pay. These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification. Course type: C Posting type: Régulier / Regular Language of instruction: Anglais | English Competence in second language: Passive Course Schedule: Mercredi | Wednesday 19:00-22:00 - - This courser will be offered in person. Requirements: Candidate Profile: PhD in Biomedical, Mechanical or Electrical Engineering or related discipline with specialization. Strong background and demonstrable expertise in the subject. Licensed or eligible for licensing as professional engineers with a Canadian engineering regulator. Teaching mode: Courses will be taught in person. Please note that the teaching or work method may change due to health measures or other reasons. Acquisition of skills for effective online teaching is strongly encouraged. Additional Information and/or Comments: An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law. The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more. The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

What you’ll do

The professor will teach a course on medical informatics and telemedicine, focusing on the application of data science in healthcare decision-making. Responsibilities include delivering course content, facilitating hands-on experience with data tools, and guiding students through data analysis and modeling techniques.

Requirements

Candidates must hold a PhD in Biomedical, Mechanical, or Electrical Engineering or a related discipline. Applicants must also be licensed or eligible for licensing as professional engineers with a Canadian engineering regulator.

Listed skills

• Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data science
• Medical informatics
• Telemedicine
• Data acquisition
• Data preprocessing
• Modeling
• Simulation
• Data analysis
• Data warehousing
• Data mining
• Biomedical engineering
• Mechanical engineering
• Electrical engineering
• Teaching
• Policy analysis
• Employment Equity
• Workplace Inclusivity
• Online Teaching
• Research
• Electrical Engineering
• Health Informatics
• Decision Making
• Medical Diagnosis
• Creativity
• Data Acquisition
• Data Integration
• Data Warehousing
• English Language
• Innovation
• Mechanical Engineering
• Telehealth
• Data Science
• Teamwork

Job areas

• Education
• Engineering
• Data & Analytics
• Healthcare
• Science & Research
• Course Instructor
• Biomedical Engineer (General)
• Engineering Professionals Not Elsewhere Classified
• Bioengineers and Biomedical Engineers

More jobs from uOttawa | Carrières - Careers