Data Scientist

• Company St. Michael's Hospital
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Duties & Responsibilities

• Extract and process data from multiple possible source systems in St. Michael’s Hospital (e.g., Enterprise Data Warehouse (EDW), Picture Archiving and Communications Systems (PACS))
• Use specialized software for large and complex data sets including tools for preprocessing, registering, and viewing imaging or waveform data.
• Curate, validate, and preprocess large and complex data sets This includes cleaning and merging data from multiple sources (e.g., PACS and the EDW), as well as understanding overall data quality.
• Create pipelines to feed real time imaging and/or waveform data to models
• Conducting analysis with basic supervised and unsupervised machine learning methods is an asset, including: Linear regression, logistic regression, GLM, penalized regression, SVM, random forest, xgboost, and neural networks
• Perform descriptive and inferential statistical analysis in R, Python, and/or Julia. Write HTML/PDF/Microsoft Word reports summarizing the analysis with RMarkdown, Quarto, or other notebooks
• Validate output tables, listings or figures generated to ensure accuracy and reliability of analyses
• Produce high quality ad hoc and standardized reports customized per project, using R/Python/Julia procedures, tailored to different end-users (e.g. clinicians, researchers, senior management, and hospital executives)
• Develop efficient programs, algorithms, or systems to reduce programming time of standardized data analyses and reports
• Assist with writing project protocols, including: data extraction, cleaning, predictive modelling, and validation plans

Qualifications

• A Master's degree quantitative, health/clinical, or informatics disciplines, with at least 1 year of relevant work experience
• Expert level programming with either R (preferred) or Python is required. Experience in Julia is a plus.
• Experience working with and manipulating large datasets
• Familiarity with databases such as: Netezza, SQL, Oracle, etc.
• Familiarity with version control (git, Github, GitLab).
• Experience writing reproducible reports using R Markdown and/or Jupyter Notebooks
• A deep understanding and experience with regression and classification tasks using generalized linear models, penalized regression, decision tree learning, random forest, support vector machines
• Experience with time series modeling and waveform/signal processing and modelling is an asset.
• Experience with graphical methods would be an asset
• Experience with Bayesian methods would be an asset
• Experience with ML/ModelOps would be an asset
• Experience with medical imaging would be an asset
• Experience with specialized platforms (e.g., XNAT, MONAI, MDai) would be an asset
• Familiarity with pretrained models for imaging or waveform data would be an asset
• Experience in healthcare is an asset
• Demonstrated ability to manage statistical programming activities
• Proficient with MS Office software (Word, Excel, PowerPoint, Outlook, etc.)
• In order to be considered for this position, please include links to any public-facing code and tools you have created (e.g., personal or institutional Github repositories, your website).
• We will also consider other degrees and disciplines in conjunction with applied experience