Posted 3 months ago
RQ00746-Data Analytical Specialist/Scientist
@ Source Code
Toronto, Ontario
Overview
Source Code is hiring a senior data analytical specialist or scientist on a contract of 6+ months (131 days, possible extension) for HealthMap at Public Health Ontario. The role analyzes the DLSPH chronic-disease-burden model, builds and validates it within PHO systems, and transfers knowledge to staff. It is hybrid with 2 days in the Toronto office, with rates of $73.38 to $88.06 per hour incorporated or $58.70 to $70.45 per hour as T4.
Pay:
$58.70–$88.06 an hour
Responsibilities:
- Analyze the DLSPH chronic-disease-burden model and methodology
- Build, validate and run the model within PHO systems
- Support data acquisition through data-sharing agreements
- Document methods and transfer knowledge to PHO staff
- Deliver documentation, code and end-user training
Requirements summary:
- Senior experience with statistical methods and models
- Proficiency in R and/or Python and query languages
- Experience designing data-ingestion and quality-checking workflows
- Strong consulting and relationship-management skills
- Ability to communicate complex methods to varied audiences
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- 2026-07-27
- First seen by our source
- 2026-10-12
- Source record updated
- 2026-10-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Hours per week | 36.25 |
| Travel | air: none · ground: none |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Source Code
| Field | Value |
|---|---|
| Open jobs on Jobsy | 656 |
RQ00746-Data Analytical Specialist/Scientist
Location: 661 University Ave, Suite 1701, Toronto, ON M5G 1M1
Hybrid - 2 days in office
Contract - 6+ months ( 131 days) - Possible extension
Position Summary
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.
The Senior Data Analytical Specialist/Scientist is fully allocated to HealthMap. Working with minimal direction and leading others, the role analyzes the ODBM and methodology and builds and validates it within PHO. The role aligns with and advances the Public Health Data Utility (PHDU) as the platform foundation and operates within the Analytics Engine operating model.
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.
Key Deliverables
- 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.
General Skills (Required)
- 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.
- Strong investigative, mathematical, and statistical skills to assess model logic, test assumptions, resolve data or code issues, and support sustainable knowledge transfer.
AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.
Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.
INCORPORATED RATE RANGE (7.25 billable hours per day)
- $73.38/hr - $88.06/hr Inc.
T4 RATE RANGE (7.25 billable hours per day)
- $58.70/hr - $70.45/hr T4
Journal
Only you can see this. Kept on this device, and in your account when you sign in.