Data Scientist (AI/ML)

TL;DR

Data Scientist (AI/ML): Developing and validating machine learning models for the Intelligent Care Platform (ICP) to generate actionable clinical insights with an accent on processing disparate health data sources. Focus on building robust data pipelines, performing sophisticated statistical modeling, and translating AI-driven findings into personalized care strategies for pediatric patients.

Location: Onsite at hirify.global Hospital Site, Vancouver, BC, Canada

Compensation: $7,622.83 - $11,886.67 CAD Monthly

Company

The University of British Columbia (hirify.global) is a global center for research, teaching, and learning, consistently ranked among the top public universities in the world.

What you will do

• Train, validate, and apply AI/ML/DL models using clinical and wearable data within the ICP platform.
• Oversee the cleaning, maintenance, and integration of data from varied internal and external sources.
• Conduct extensive modeling of complex large datasets to explore data validity and perform statistical analysis.
• Develop statistical approaches and implement program code using Python, R, SAS, or Matlab.
• Ensure compliance with ethical and data security policies regarding sensitive health information.
• Collaborate with faculty researchers, post-docs, and industry partners to support research publications and ethics applications.

Requirements

• Post-graduate degree in Statistics or equivalent combination of education and experience.
• Minimum of three years of related experience in research analysis.
• Proficiency in AI/ML/DL frameworks such as Python, TensorFlow, or PyTorch.
• Experience with relational and non-relational database systems and data extraction.
• Ability to work independently with minimal supervision in a multidisciplinary team.
• Commitment to equity, diversity, and inclusion in the workplace.

Nice to have

• M.Sc. in computer science, statistics, or applied mathematics.
• Hands-on experience with Scikit-Learn and big data tools like Spark or Hive.
• Strong communication skills for explaining complex technical concepts to non-technical stakeholders.
• Experience working with clinical or healthcare-related data.

Culture & Benefits

• Opportunity to contribute to a high-impact $3.5M research project funded by CIHR and Breakthrough T1D.
• Work within a prestigious academic environment at the Faculty of Medicine.
• Engagement with a diverse team of researchers, clinicians, and industry engineers.
• Commitment to employment equity and a supportive, inclusive research culture.