Senior Consultant

Join our pediatric analytics and AI team in reshaping pediatric healthcare through groundbreaking AI and analytics. This role offers an opportunity to drive cutting-edge AI/ML solutions aimed at elevating patient outcomes, enhancing clinical workflows, and improving operational effectiveness across Alberta, with global relevance. Embedded within two high-performing, multidisciplinary teams and reporting functionally to the Children's Health PIN triad leadership, you'll utilize Alberta’s world-class health data resources to validate, develop, and deploy scalable AI/ML solutions directly addressing frontline clinical and operational needs. Ideal candidates are proactive, technically skilled individuals passionate about translating their expertise into tangible improvements in pediatric care delivery. Your contributions will directly shape the future of healthcare, driving measurable enhancements in clinical practice and patient outcomes.

This pioneering role offers a unique opportunity to develop and deploy cutting-edge AI/ML solutions aimed at significantly elevating pediatric patient outcomes, streamlining clinical workflows, and enhancing operational effectiveness across Alberta, with potential global influence. Reporting functionally to the Children's Health PIN triad leadership, you'll be integral to two highly collaborative, multidisciplinary teams embedded within Alberta's world-class healthcare analytics infrastructure. Leveraging this exceptional data ecosystem, your work begins at the curated data mart stage, focusing initially on validation before transitioning into specialized AI/ML operations and deployment. Guided by clear clinical and operational priorities, your efforts will directly shape the future of pediatric healthcare by delivering measurable and meaningful improvements in system performance and patient care.

Master’s degree in Computer Science, Engineering, Statistics, Management Analytics (MMA), Management in Artificial Intelligence (MMAI), or a related field. Minimum 3-5 years applied experience in analytics or AI/ML, including extensive skills in Python. Demonstrated expertise in data validation, feature engineering, model development and deployment, as well as MLOps practices including performance monitoring. Strong organizational, communication, and collaborative skills. Commitment to ethical practices and leveraging AI for impactful results.

As required.

Experience leading AI/ML projects in healthcare settings. Familiarity with clinical data and healthcare systems. Proficiency with SQL and working within Snowflake and Azure environments.