Research Intern, AI Student

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Ontario Health is the provincial agency responsible for ensuring Ontarians receive high-quality health care services where and when they need them. Since it was established in June 2019 Ontario Health has brought together the strengths of many existing health care organizations to work together to build a better health care system for all Ontarians. Building on the expertise and knowledge of our people we are committed to applying the best of what we collectively do and in partnership with others to transform the health system and improve the quality and delivery of care for patients families and health
care providers.

Here at Ontario Health our students do real work that makes a real impact. Youll join a team improving health care systems across the province while learning from leaders in digital health data policy and system transformation and more. Youll be welcomed for who you are supported by a student community and given space to learn try and grow. With modern ways of working meaningful projects and mentorship this is your launchpad to something big.

Want to make a difference in your career Consider this opportunity.

This role will be working on strategic projects related to Artificial Intelligence (AI) for Ontario Health. The student will be contributing their technical expertise to support model development and validation approaches.

Here is what you will be doing:

• Conducting exploratory analysis on health system performance to identify areas to develop AI use cases

• Supporting the development and validation of machine learning models for health system performance management

• Assisting in data cleaning preprocessing and feature engineering for machine learning workflows

• Evaluating AI/ML model outputs and documenting findings for internal stakeholders

• Creating AI outputs to communicate insights from hospital performance data

• Reviewing literature and existing solutions to identify emerging applications relevant to health system performance

Here is what you will need to be successful:

Education and Experience

• Currently enrolled on a full-time basis in a Masters Program in Engineering - Data Analytics and Machine Learning or related discipline and experience (work and lived)

• Returning to school full-time in the fall

Knowledge and Skills:

• Demonstrated alignment with core values including integrity inspiration tenacity humility and care

• Strong analytical and problem-solving skills

• Experience with Python R SQL or related data analysis tools

• Familiarity with machine learning concepts and data pre-processing techniques (Preferred: Large Language Models)

• Ability to work with large and complex datasets

• Understanding of healthcare operations workflows or hospital systems

• Strong communication and presentation skills

• Ability to translate technical findings into practical recommendations

• Attention to detail and commitment to data quality

• Ability to work independently and collaboratively in interdisciplinary teams

Rate of Pay: $32.00 - $34.00 per hour (dependent on level of education)

Location: Ontario Health (OH) welcomes applications from candidates across Ontario. Please note that this role follows an in-office work model requiring employees to work from a designated approved Ontario Health location.

Application Details:

• Please apply by May 28th 2026 by 11:59 PM EST

• Kindly attach your cover letter resume and unofficial transcript to your application

All applicants must be a resident of Ontario to be considered for roles at Ontario Health.

Ontario Health encourages applications from candidates who are First Nations Métis Inuit and urban Indigenous; Francophone; members ofBlack and racializedgroups; 2SLGBTQIA communities; trans and nonbinary individuals;and people living with disabilities.

Ontario Health is an accessible employer and we offer accommodation in all aspects of employment including the recruitment process. If you require a disability related accommodation in order to participate in the recruitment process please email and a member of the team will connect with you within 48 hours.

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