Data Scientist
About The Position
The UBC Department of Pediatrics, Division of Endocrinology, located at BC Children’s Hospital invites applications for a Machine Learning Engineer to join a multidisciplinary translational research program focusing on building a digital health technology, called the Intelligent Care Platform (ICP). ICP aims to bring together disparate sources of data (clinical, wearable, patient-reported outcome/experience measures) to generate insights through Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL), that can be translated into actionable insights at the point of care and shared with healthcare providers and patients to enable personalized and preventative care. This project will also evaluate ICP’s impact on advancing the Quintuple Aim (enhancing patient experience, improving population health, mitigating rising healthcare costs, reducing clinician burnout, and striving for health equity) by deploying the platform in a quasi-experimental trial at the BC Children’s Hospital Diabetes Clinic in 200 children and youth living with type 1 diabetes. This project is funded by the CIHR and Breakthrough T1D (formerly JDRF) – $3.5M over 4 years (2023-2027). We are looking for a Data Scientist to join our research team. We are seeking an individual with experience and interest in Machine Learning (ML). This position requires experience in computing science, software engineering, or a related area, with a focus on machine learning, statistics and/or data science. You will have experience in AI/ML/DL using Python, TensorFlow, PyTorch, etc. Expertise in data science and experience working with clinical data is an asset.
Requirements
- Post-graduate degree in Statistics.
- Minimum of three years of related experience in research analysis, or the equivalent combination of education and experience.
- 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.
Nice To Haves
- M.Sc. from one of the following fields: computer science, statistics, applied mathematics, data science; or a minimum of two years of experience in research analysis or equivalent education and experience preferred
- Excellent programming experience (e.g., Python, R, Java, JavaScript, C#, C++)
- Excellent knowledge and experience with relational and non-relational database systems (e.g., SQL, Hive, Cassandra, MongoDB, Spark, Neo4J, Pandas)
- Excellent knowledge and hands-on experience with various machine learning packages and models (e.g., PyTorch, Scikit-Learn, TensorFlow)
- Excellent communication skills and able to explain complex concepts to non-technical audiences
- Excellent organizational skills and able to juggle multiple projects.
Responsibilities
- Participate in the research as described above with a specific focus on training, validating and applying AI/ML/DL using the data available in ICP
- Oversees the cleaning and maintenance of data from multiple varied sources (e.g. internal, external, administrative health, clinical)
- Conducts extensive modelling of complex large data sets using a variety of software and languages to explore data validity, and conduct statistical analysis
- Develops approaches and techniques for the solution of problems; communicates aspects of complex problems so that appropriate decisions can be made by the research team
- Performs data extraction and linkage from multiple databases for analysis
- Develops statistical approach and implements program code (SAS, Python, R, Matlab, etc.)
- Maintains and updates syntax, metadata files (e.g., data dictionaries that guide use of variables), documentation procedures and methods
- Performs statistical modelling and data analyses, including sophisticated modelling techniques, hypothesis testing, and power and sample size calculations
- Interprets, summarizes and documents statistical analysis and results
- Integrates data from comprehensive data sources and develop robust data pipelines to enable regular updating of data
- Ensures compliance with ethical and data security policies and procedures
- Respects privacy and ethics around the use of sensitive and privileged data sets
- Work with expert faculty researchers and academics, post-docs, research associates and research assistants
- Work with industry partners and vendors, including engineers responsible for building, maintaining and further developing the platform
- Aid in the writing of research ethics applications and publications
- Work effectively in a team environment with limited supervision
- Respect and value diversity in the workplace environment
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
