Health Researcher , Data Scientist

Looking for a Health Research/Data Scientist, to develop 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.

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.

This is a contract opportunity and work is Remote.