Postdoctoral Research Fellow
Listed on 2026-01-13
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Software Development
Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Job Category
Faculty Non BargainingJob Title
Postdoctoral Research FellowDepartment
Cooper Laboratory | Department of Orthopaedics | Faculty of Medicine (Anthony Cooper)Posting End Date
February 9, 2026Note:Applications will be accepted until 11:59 PM on the Posting End Date.
Job End Date
February 28, 2027.
The expected salary for this position is $60,000 - $80,000 per annum. The Faculty of Medicine is committed to offering equitable and competitive salaries, commensurate with the qualifications and experience of the candidate.
At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career.
The Department of Orthopaedics in the Faculty of Medicine at the University of British Columbia (UBC) Vancouver campus invites applications for a full-time Postdoctoral Research Fellow with expertise in artificial intelligence (AI), machine learning (ML), and data science. The position will be a part of the Walk Tall research team based at BC Children’s Hospital. The Postdoctoral Fellow will work with a high degree of independence and set priorities under broad directives from Dr.
Anthony Cooper and other senior research staff. This position will also provide the candidate with excellent opportunities for growth in the field of clinical research.
To learn more about the research program, please visit:
RESPONSIBILITIES
Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making for diagnosis and treatment, radiograph analysis, and patient outcomes in musculoskeletal care. The candidate will also work towards the development of ML projects to deal with multi-model datasets (text, images, structured, and voice data). They will have an opportunity to work with an international group of orthopaedic surgeons, allied healthcare professionals, and researchers to collect the variables/features required for various ML model, annotate the required datasets, and design ML models pipelines, evaluate the results, and apply the models in clinical environment.
The incumbent’s responsibilities include:
Design and implement ML, deep learning, and Large Language Models for orthopaedic applications
Work with multimodal clinical data, including:
Medical imaging (X-ray, CT, MRI)
Electronic health records (HER)
Textual and Voice data
Apply supervised, unsupervised, and self-supervised learning methods.
Develop explainable AI (XAI) approaches suitable for clinical use.
Work with an international group of orthopaedic surgeons, allied healthcare professionals, and researchers to finalize the variables and features for ML models.
Work with the data management team, clinical and research teams to build, train, evaluate, and deploy ML projects.
Present findings on a regular basis to team members.
Participate in other ongoing research projects as required.
Produce conference abstracts and manuscripts
Provide support with future research proposals for new funding opportunities
Maintain accountability for the quality and integrity of the research and data, as well as the effective and efficient management of research projects and deliverables
May supervise undergraduate students working on the AI/ML projects
QUALIFICATIONS
PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or PhD or equivalent degree in population/public health and other related medical fields with AI and ML experience. Applicants must be within five years of being awarded their PhD degree. Exceptions will be considered where the research career has been interrupted by circumstances such as parental responsibilities or illness.
A background in AI, machine learning, statistics, database design, software development, and medical sciences.
Demonstrable experience in AI and Machine Learning, managing and analyzing large datasets, is a major asset.
Experience with…
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