Senior Data Scientist to design, build, and maintain a POC AI model to simulate patient flow sc[...]

S I Systems; Ottawa; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Senior Data Scientist to develop an AI model for patient flow simulations aimed at enhancing healthcare system efficiency. This position is 100% remote initially, with the potential for on-site work in North York or Ottawa. The ideal candidate will have extensive experience in healthcare data science, strong programming skills in Python and R, and the ability to communicate complex models effectively to diverse audiences.

Qualifications

• 5+ years of experience as a data scientist or researcher in the healthcare industry.
• Strong demonstrated experience working with Python and R associated frameworks to develop healthcare simulations.

Responsibilities

• Develop POC AI model for patient flow scenarios for health system capacity planning.
• Design and maintain microsimulation models representing patient trajectories.
• Conduct scenario analyses evaluating home care and LTC policies.

Skills

Data Science

Healthcare

Python

R

Job description

Senior Data Scientist to design, build, and maintain a POC AI model to simulate patient flow scenarios for a healthcare client

Our valued healthcare client is seeking a Senior Data Scientist to design, build, and maintain a POC AI model to simulate patient flow scenarios for health system capacity planning!

Initial 6-month contract (100% Remote),with strong possibility of extension. 7.25 hours per day, Monday to Friday. Candidates with the ability to work on-site in North York or Ottawa, ON would be preferred.

As the successful candidate, you will be responsible for developing a POC AI model to simulate different scenarios of patient flows for health system capacity planning, with a focus on seniors and continuing care, that clients can use to more efficiently and accurately simulate various scenarios of health system performance.

Responsibilities:

• Design, build, and maintain individual-level microsimulation models representing patient trajectories through long-term care and other health services settings.
• Use open-source simulation frameworks (e.g., SimPy, mesa, simpyLC in Python; OpenM++, SimYouLate, SimPaths in R) to support discrete-event, agent-based, or hybrid simulations.
• Incorporate demographic, health status, equity stratifiers and care pathway data to model the life-course transitions of older adults through home care, community-based care, inpatient and/or institutional LTC settings.
• Apply model validation, calibration, and sensitivity analysis techniques to ensure internal validity and policy relevance.
• Collaborate with interdisciplinary teams of researchers, data scientists, clinicians, and policy analysts to ensure models are policy-relevant and grounded in real-world data.
• Conduct scenario analyses to evaluate the impact of alternative seniors’ home care or LTC policies, programs, or resource allocation strategies.
• Communicate model assumptions, limitations, and outcomes to both technical and non-technical audiences.
• Translate simulation outputs into actionable insights for stakeholders by producing clear visualizations, reports, or briefings.
• Maintain documentation and version control of model architecture, parameters, and code.

Required Skills:

• 5+ years of experience as a data scientist or researcher in the healthcare industry
• Strong demonstrated experience working with Python and R associated frameworks to develop healthcare simulations

Nice-to-Haves:

• Strong knowledge of continuing & senior care within the healthcare industry
• Strong demonstrated experience working with open-source simulation frameworks (e.g. SimPy, simpyLC, mesa; OpenM++, SimYouLate, SimPaths , etc))