We are seeking an experienced Data Scientist to lead the development of an individual-level microsimulation model to support health system capacity planning, with a particular focus on seniors and continuing care services.

This role is ideal for someone with a strong background in health analytics, simulation modeling, and interdisciplinary collaboration, who is passionate about using data to inform health policy and service planning.

Key Responsibilities:

• Design, build, and maintain microsimulation or agent-based models representing patient flows through various health and long-term care settings

• Use open-source simulation frameworks (e.g., SimPy, mesa, simpyLC in Python; OpenM++, SimYouLate, SimPaths in R) to implement models

• Integrate demographic, clinical, and pathway data to simulate life-course transitions of older adults through home care, inpatient, and community-based services

• Conduct model validation, calibration, and sensitivity analyses to ensure accuracy and policy relevance

• Perform scenario analysis to evaluate the impact of different care policies or resource allocation strategies

• Work closely with clinicians, policy analysts, and data scientists to ensure the model is grounded in real-world data

• Communicate results through clear visualizations, reports, and briefings for technical and non-technical stakeholders

• Maintain clear documentation and version control of code, model logic, and parameters

Required Qualifications:

• 5+ years of experience in health systems research, public health analytics, or health data science

• Proven experience building and maintaining microsimulation or agent-based models

• Proficiency in Python or R, and experience using simulation frameworks such as SimPy, mesa, OpenM++, or similar

• Deep understanding of healthcare system structure, especially long-term and seniors’ care

• Strong background in quantitative methods, including model validation and sensitivity testing

• Ability to translate technical outputs into actionable insights and policy implications

• Excellent communication and documentation skills

Nice to Have:

• Experience working in public sector, healthcare consulting, or academic health policy research

• Familiarity with data visualization tools (e.g., Tableau, ggplot2, matplotlib)

• Experience working in interdisciplinary research environments

We’re an equal opportunity employer committed to increasing diversity and inclusion in today’s workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Minorities, women, LGBTQ candidates, and individuals with disabilities are encouraged to apply. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions.