Job Title: Data Scientist, Health Modelling
Location: Remote, Canada
Job Type: Contract, full-time hours
Clearance: N/A
Language: Strong written and spoken English required, French is an asset
Compensation: Open rate. Estimated: $70/hour inc

About the Opportunity

Our public sector client in the healthcare space is seeking a Data Scientist to support the development of advanced microsimulation models that inform critical health system planning decisions. This work focuses on modelling patient flow and care pathways, particularly for aging populations and individuals living with complex conditions such as dementia.

You’ll join a collaborative, interdisciplinary environment alongside researchers, clinicians, and policy experts, contributing to impactful, data-driven insights that shape healthcare delivery across Canada. This is an opportunity to work on meaningful, real-world problems where your models directly influence system capacity and patient outcomes.

What’s in it for You

You’ll gain exposure to high-impact health policy initiatives while working with modern simulation frameworks and diverse datasets. The team fosters a collaborative and knowledge-sharing culture, offering the chance to deepen your expertise in health analytics, modelling, and applied research.

This is an ideal opportunity for someone who values purpose-driven work, continuous learning, and cross-functional collaboration in a remote-first environment.

Your Responsibilities

• You’ll design and develop microsimulation models to represent patient care trajectories across healthcare systems
• In this role, you’ll apply simulation techniques such as discrete-event and agent-based modelling using Python or R
• You’ll collaborate with multidisciplinary stakeholders to ensure models reflect real-world healthcare scenarios
• You’ll conduct validation, calibration, and scenario analysis to assess system-level impacts
• You’ll translate complex outputs into clear insights through reporting, visualizations, and presentations

Skills and Qualifications

• 5+ years of experience in data science, health analytics, or simulation modelling
• Strong programming skills in Python or R, with experience in simulation frameworks such as SimPy, Mesa, or OpenM++
• Experience with statistical modelling, sensitivity analysis, and model validation techniques
• Ability to communicate complex technical findings to both technical and non-technical audiences
• Experience working in healthcare, public sector, or research environments is an asset

Why Partner with Altis

If you’ve never worked with a staffing agency before, don’t worry, we make it easy. You’ll still engage directly with the client while we handle the logistics, provide guidance, and keep you informed every step of the way. We’ll represent your strengths, guide you through each stage of the process, and ensure the experience feels personal and transparent.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals. All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.