Project Overview

HealthMap is the flagship initiative delivered through Public Health Ontario's (PHO) Analytics Engine. It brings the Dalla Lana School of Public Health (DLSPH, University of Toronto) chronic-disease-burden model (ODBM) into PHO, building and ensuring it runs within PHO systems.

Key Responsibilities

- Analyze the DLSPH chronic-disease-burden model and methodology to support a build within PHO systems.
- Build, validate, and run the model within PHO's environment, aligned to and advancing the PHDU (with an R/Azure bridge until PHDU is available).
- Support data acquisition through data-sharing agreements and governance processes where required for the ODBM to run within PHO systems.
- Document methods and transfer knowledge to PHO staff so the ODBM can be sustained beyond the engagement.
- Participate in related HealthMap documentation, development, testing, end-user training, and knowledge transfer; work with functional experts, data architects, ETL developers, and PHDU technical teams to deliver sustainable solutions.
- Documented methodology, code, data-acquisition and, as available, analytical and reporting requirements.
- DLSPH model built, validated, and running within PHO systems (PHDU-aligned).
- Knowledge transfer to PHO staff to sustain the capability.

Qualifications & Requirements

REQUIRED

- Must be able to work 2 days onsite per week
- Excellent analytical, problem-solving, and decision-making skills.
- Strong consulting and relationship-management skills to work with client groups, technical teams, data stewards, data engineers and stakeholders to confirm requirements, options, constraints, and delivery decisions.
- Ability to communicate complex quantitative methods, assumptions, outputs, and limitations clearly to technical and non-technical audiences.




- Senior-level experience with statistical methods and models, including their underlying data requirements, model validation, and reproducible analytical workflows.
- Ability to manipulate and analyze complex data from structured and unstructured sources to support evidence-based decision-making.
- Experience designing data-ingestion, transformation, quality-checking, and reproducible data-processing workflows.
- Broad understanding of data management, business analysis, database architecture, governance, and information visualization.
- Proficiency in R and/or Python, query languages, and version-controlled analytical code to ensure that any ODBM analytical workflows can be implemented, run, troubleshooted, and documented.
- Solid investigative, mathematical, and statistical skills to assess model logic, test assumptions, resolve data or code issues, and support sustainable knowledge transfer.
- Public sector experience required.

NICE TO HAVE

- Experience with R and PowerBI.
- Experience with population or public-health data and chronic-disease, microsimulation, or burden-of-disease modelling.
- Experience building on, or adapting, an external academic or research model within a production environment.
- Familiarity with cloud analytics environments (e.g., Azure) and platform-based delivery products such as Databricks.
- Knowledge and understanding of the Accessibility for Ontarians with Disabilities Act (AODA) and related standards.

Key Skills & Competencies

R, Python, SQL, PowerBI, data ingestion, ETL, data quality, data processing, data management, database architecture, information visualization, version control, statistical modelling, data validation, reproducible workflows, public health data, chronic disease modelling, microsimulation, burden-of-disease modelling, Azure, Databricks, cloud analytics

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📌 Data Analytical Specialist/Scientist - Senior (Toronto)
🏢 GovTech Talent Solutions
📍 Toronto