Health Researcher\Data Scientist at Maplesoft Group
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

24 Sep, 25

Salary

0.0

Posted On

25 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Hospital/Health Care

Description

RECRUITER EMAIL

info@maplesoftgroup.com
Maplesoft Group is currently seeking a Health Researcher\Data Scientist for our Federal Government client.

Tasks and Responsibilities include, but are not limited to the following:

  • 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.

Maplesoft Group prides itself on its distinct corporate culture and recognizes that success is a direct reflection of our most valuable asset - our people. Therefore, attitude and ambition are key personality traits we seek out, along with skill and aptitude, in potential employees.
Maplesoft Group is committed to having a diverse, representative workforce and continuing to build an inclusive environment. We encourage applications from all qualified individuals. Maplesoft Group is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants irrespective of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Aboriginal peoples or any other legally protected factors.
All employment decisions are made based on business needs, job requirements, and individual qualifications.
We are committed to developing inclusive, barrier-free recruitment and selection processes, and a work environment that supports our diverse workforce. Please let us know if you require accommodations at any stage of the recruitment process. We can be reached at Maplesoft Info at info@maplesoftgroup.com.
We thank you for your interest in Maplesoft Group and wish to advise you, that only candidates under consideration will be contacted

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
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