Research Machine Learning Software Developer

The University of British Columbia • Vancouver, British Columbia, Canada • 11h ago

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Work Performed

Conducts in-depth literature reviews on medical imaging and drug analysis, evaluates complex machine learning applications, develops hypotheses on data collection, model architecture, and training strategies and assesses feasibility and technical requirements for integrating findings into existing projects.
Performs analysis of tissue images of cancer and protein-ligand binding affinity using novel machine learning with advanced algorithms such as Alphafold3 for molecule processing and foundation models for image processing.
Designs and develops machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics and drug development applications.
Modifies and tunes existing programming modules to integrate with image management platform, enabling the execution of in-house AI models on imaging data.
Analyses results of machine learning algorithms, documents and prepares reports accordingly.

Consequence of Error/Judgement

Supervision Received

Supervision Given

Minimum Qualifications

Willingness to respect diverse perspectives, including perspectives in conflict with one's own
Demonstrates a commitment to enhancing one's own awareness, knowledge, and skills related to equity, diversity, and inclusion

Preferred Qualifications

Intermediate algorithms and data structures.
High-level programming languages (Python, JavaScript, etc).
Knowledgeable with containerization software (Docker, Kubernetes, Singularity).
Digital pathology experience.
Basic computer vision and image processing techniques.
Experience with Agile Development.
Expertise in cloud software development, particularly with ML applications.
Familiarity with AWS services.

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