
Alberta Machine Intelligence Institute grows Alberta’s AI and machine learning capacity and helps organizations adopt machine intelligence. It advances research in AI and machine learning and…

Alberta Machine Intelligence Institute grows Alberta’s AI and machine learning capacity and helps organizations adopt machine intelligence. It advances research in AI and machine learning and…
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“Join us for a unique ML Resident role focusing on improving patient outcomes by predicting risk of an adverse event using ML/DL. You'll work in a fast-paced and dynamic team of machine learning scientists, healthcare providers, and domain experts .”
About Amii One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.
About The Role This is a paid residency that will be undertaken over a eight-month period with the potential to be hired by our client afterwards. The resident will be reporting to an Amii Machine Learning Scientist and regularly consult with the Client team to share insights and engage in knowledge transfer activities.
About Our Client Zamplo is a digital health company transforming the way individuals, clinicians, and researchers engage with health data. Its connected health platform empowers people to track and share their own health information, while providing real-time insights that support better care and outcomes. Zamplo develops innovative, patient-centered tools that reduce costs and improve collaboration across the healthcare system.
The Zamplo Platform Offers Two Complementary Products
About the Project The project aims to use machine learning to classify a patient’s risk of an adverse event leading to an emergency room visit following radiation therapy. This risk assessment will use socio-demographic, non-medical and medical data. By identifying patients with a higher risk of an adverse event earlier, patients, healthcare providers, caregivers, and community stakeholders can implement proactive measures to improve patient outcomes.
As research in this specific area is limited, the resident would approach the classification problem in a number of ways, each with its own set of experiments and models to determine the best option to implement. Following model development, the results will be externally validated in both retrospective and prospective manners.
Required Skills / Expertise We’re looking for a talented and enthusiastic individual with solid knowledge of machine learning, experience working with health care data, and a passion to improve individual health outcomes.
Key Responsibilities
Required Qualifications:
Preferred Qualifications:
Non-Technical Requirements:
Why You Should Apply Besides Gaining Industry Experience, Additional Perks Include
Location: Alberta Preferred How to Apply If this sounds like the opportunity you've been waiting for, please don’t wait for the closing April 24, 2026 to apply - we’re excited to add a new member to the Amii team for this role, and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.
Applicants must be legally eligible to work in Canada at the time of application. Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and won’t be used in the selection process.