Senior Data Scientist to develop patient flow simulations using python / R and associated machi[...]

S.i. Systems; Ottawa; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading healthcare provider is seeking a Senior Data Scientist to develop simulation models for patient flow in capacity planning, focusing on seniors' care. This role involves building and validating microsimulation models, utilizing Python and R frameworks, and collaborating with experts in the field to produce actionable insights.

Qualifications

• 5+ years of experience in the healthcare industry as a data scientist.
• Strong experience with Python and R frameworks for healthcare research.

Responsibilities

• Develop a POC simulation model for patient flows in healthcare.
• Design and maintain microsimulation models representing patient trajectories.
• Collaborate with interdisciplinary teams for policy relevance.

Skills

Data Science

Python

R

Healthcare Simulation

Tools

SimPy

SimYouLate

Mesa

Job description

Our valued healthcare client is seeking a Senior Data Scientist to develop patient flow simulations using python / R and associated machine learning frameworks!

Initial 6-month contract (% 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 simulation 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 support healthcare research or 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))