Company Description

UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.

UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.

www.uhn.ca

Job Description

Union: Non-Union
Number of vacancies: 1
Site: Toronto General Hospital
Department: Peter Munk Cardiac Centre
Reports to: Chief & Lead AI Scientist
Hours: 37.5 hours per week
Shifts: Days
Status: Temporary Full-Time
Closing Date: December 22, 2025

Position Summary:

The Peter Munk Cardiac Centre is thrilled to announce an exceptional opportunity for a computational biologist to join our dynamic team. You will be working directly under the visionary leadership of our Chief AI Scientist. We are looking for candidates 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

• Integrate genomic, proteomic, clinical, and imaging data using the Digital Cardiovascular Health Platform (DCHP).
• Analyze whole genome and epi-genome sequencing data from NovaSeq X Plus gene sequencing units.
• Establish and maintain collaborations with other Canadian and International Centers for data sharing and biospecimen analysis.
• Identify and engage in co-funding opportunities to support study costs.
• Contribute to the design and execution of research projects that align with the RFP's goals, working closely with clinical experts at PMCC to translate research findings into clinical insights.
• Contribute to scientific papers and presentations for both academic and clinical audiences.
• Conduct data preprocessing, feature engineering, and exploratory data analysis on clinical and genomic datasets.
• Apply intermediate level technical knowledge and skills in the domains of computer science, computational biology and/or bioinformatics to the collection and analysis of complex biological data including genomic and proteomic data in the context of cardiovascular diseases.
• Apply intermediate level technical knowledge and skills to suggest appropriate methods for data analysis or for programming approaches to solve problems that present for interrogating external database datasets for new insights / hypothesis generation or for visualization techniques.
• Contribute toward the development of guidelines, procedures, and standards.
• Implement machine learning and deep learning algorithms using Python, TensorFlow, PyTorch, or similar frameworks.
• 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

• Bachelor’s degree with at least 6 years of relevant experience, or a Master’s degree with 4 years of experience.
• Ph.D. in Computational Biology, Bioinformatics, Genomics, Computer Science, or a related field (preferred).
• Strong programming skills in Python, R, and shell scripting.
• Experience with AI/ML frameworks such as TensorFlow or PyTorch.
• Proficiency in using high-performance computing (HPC) environments and distributed version control systems (e.g., Git).
• Hands-on experience analyzing high-throughput sequencing data (e.g., WGS, RNA-Seq, proteomics).
• Strong understanding of bioinformatics tools, databases, and computational modeling approaches.
• Experience working with large-scale ‘omic datasets and biobanks (e.g., UK Biobank, All of Us).
• Familiarity with workflow languages such as WDL or Nextflow (an advantage).
• Knowledge of NLP and computer vision applications in healthcare (an advantage).
• Understanding of cardiovascular disease research (an advantage).
• Excellent analytical, problem-solving, and communication skills; able to work independently and collaboratively.

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 https://hoopp.com/)
• Close 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.