Union: Non-Union
Number of vacancies: 1
Site: Toronto General Hospital
Department: Research
Reports to: Senior Scientist I
Hours: 37.5 hours per week
Shifts: Days
Status: Temporary Full-Time
Closing Date: November 30 2025
Position Summary:
The Peter Munk Cardiac is thrilled to announce an exceptional opportunity for a research student to join our dynamic team. You will be working directly under the visionary leadership of our Chief AI Scientist. We are looking for candidates enrolled in an undergraduate program and an impressive publication record specializing in areas such as Computational Biology Natural Language Processing (NLP) Computer Vision or Human-Computer Interaction. This is a unique chance to be at the cutting edge of AI research in healthcare driving projects that make a tangible impact on patient outcomes and clinical practices around the globe. The role offers an inspiring blend of academic and creative freedom along with access to world-class resources to empower you in pursuing your research ambitions.
Duties
- Assist in the development and optimization of AI models for healthcare applications particularly in computational biology.
- Implement machine learning and deep learning algorithms using Python TensorFlow PyTorch or similar frameworks.
- Conduct data preprocessing feature engineering and exploratory data analysis on clinical and genomic datasets.
- Collaborate with researchers to analyze and interpret AI-generated insights for improving patient care.
- Assist in preparing research manuscripts presentations and technical reports.
- Participate in team meetings brainstorming sessions and contribute to research discussions.
- Support the documentation and version control of AI models using GitHub.
- Conduct literature reviews to stay up-to-date with emerging AI methodologies in computational biology and healthcare
Qualifications :
- Must be 16 years of age or older per UHN policy.
- Must be enrolled in an undergraduate or postgraduate program in Computer Science Biomedical Engineering Computational Biology Data Science or a related field.
- Strong programming skills in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
- Experience with biological datasets genomic data analysis or computational modeling is an asset.
- Knowledge of natural language processing (NLP) and computer vision applications in healthcare is an advantage.
- Familiarity with cloud computing platforms (e.g. AWS Google Cloud) and high-performance computing environments is a plus.
- Excellent problem-solving skills and ability to work independently and in a team environment.
- Strong analytical and communication skills with the ability to present research findings effectively.
Additional Information :
Why join UHN
In addition to working alongside some of the most talented and inspiring healthcare professionals in the world UHN offers a wide range of benefits programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor allowing you to find value where it matters most to you now and throughout your career at UHN.
- Competitive offer packages
- Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP access to Transit and UHN shuttle service
- A flexible work environment
- Opportunities for development and promotions within a large organization
- Additional perks (multiple corporate discounts including: travel restaurants parking phone plans auto insurance discounts on-site gyms etc.)
UHN is a respectful caring and inclusive workplace. We are committed to championing accessibility diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known in advance. Any information received related to an accommodation will be addressed confidentially.
University Health Network thanks all applicants however only those selected for an interview will be contacted.
All applications must be submitted before the posting close date.
UHN uses email to communicate with selected candidates. Please ensure you check your email regularly.
Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading inaccurate or incorrect UHN reserves the right to discontinue with the consideration of their application.
UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.
We thank all applicants for their interest however only those selected for further consideration will be contacted.
Remote Work :
No
Employment Type :
Intern
Union: Non-UnionNumber of vacancies: 1Site: Toronto General HospitalDepartment: ResearchReports to: Senior Scientist IHours: 37.5 hours per weekShifts: DaysStatus: Temporary Full-TimeClosing Date: November 30 2025Position Summary:The Peter Munk Cardiac is thrilled to announce an exceptional oppor...
Union: Non-Union
Number of vacancies: 1
Site: Toronto General Hospital
Department: Research
Reports to: Senior Scientist I
Hours: 37.5 hours per week
Shifts: Days
Status: Temporary Full-Time
Closing Date: November 30 2025
Position Summary:
The Peter Munk Cardiac is thrilled to announce an exceptional opportunity for a research student to join our dynamic team. You will be working directly under the visionary leadership of our Chief AI Scientist. We are looking for candidates enrolled in an undergraduate program and an impressive publication record specializing in areas such as Computational Biology Natural Language Processing (NLP) Computer Vision or Human-Computer Interaction. This is a unique chance to be at the cutting edge of AI research in healthcare driving projects that make a tangible impact on patient outcomes and clinical practices around the globe. The role offers an inspiring blend of academic and creative freedom along with access to world-class resources to empower you in pursuing your research ambitions.
Duties
- Assist in the development and optimization of AI models for healthcare applications particularly in computational biology.
- Implement machine learning and deep learning algorithms using Python TensorFlow PyTorch or similar frameworks.
- Conduct data preprocessing feature engineering and exploratory data analysis on clinical and genomic datasets.
- Collaborate with researchers to analyze and interpret AI-generated insights for improving patient care.
- Assist in preparing research manuscripts presentations and technical reports.
- Participate in team meetings brainstorming sessions and contribute to research discussions.
- Support the documentation and version control of AI models using GitHub.
- Conduct literature reviews to stay up-to-date with emerging AI methodologies in computational biology and healthcare
Qualifications :
- Must be 16 years of age or older per UHN policy.
- Must be enrolled in an undergraduate or postgraduate program in Computer Science Biomedical Engineering Computational Biology Data Science or a related field.
- Strong programming skills in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
- Experience with biological datasets genomic data analysis or computational modeling is an asset.
- Knowledge of natural language processing (NLP) and computer vision applications in healthcare is an advantage.
- Familiarity with cloud computing platforms (e.g. AWS Google Cloud) and high-performance computing environments is a plus.
- Excellent problem-solving skills and ability to work independently and in a team environment.
- Strong analytical and communication skills with the ability to present research findings effectively.
Additional Information :
Why join UHN
In addition to working alongside some of the most talented and inspiring healthcare professionals in the world UHN offers a wide range of benefits programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor allowing you to find value where it matters most to you now and throughout your career at UHN.
- Competitive offer packages
- Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP access to Transit and UHN shuttle service
- A flexible work environment
- Opportunities for development and promotions within a large organization
- Additional perks (multiple corporate discounts including: travel restaurants parking phone plans auto insurance discounts on-site gyms etc.)
UHN is a respectful caring and inclusive workplace. We are committed to championing accessibility diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known in advance. Any information received related to an accommodation will be addressed confidentially.
University Health Network thanks all applicants however only those selected for an interview will be contacted.
All applications must be submitted before the posting close date.
UHN uses email to communicate with selected candidates. Please ensure you check your email regularly.
Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading inaccurate or incorrect UHN reserves the right to discontinue with the consideration of their application.
UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.
We thank all applicants for their interest however only those selected for further consideration will be contacted.
Remote Work :
No
Employment Type :
Intern
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