Data Engineer / Scientist (Healthcare Analytics)
Apply for the
Data Engineer / Scientist (Healthcare Analytics)
role at
Gold Coast Primary Health Network
.
Base pay range: A$134,******/yr - A$148,******/yr.
About Us
Gold Coast Primary Health Network (GCPHN) is an independent, not-for-profit company that manages primary health services to keep people well and out of hospital. We are building a world-class health system for the Gold Coast.
What We Offer
Remuneration package of A$134,367 – A$148,824 + Super
Flexible work arrangements, including remote or hybrid options with occasional office visits
Salary packaging (Fringe Benefit Tax exemptions) up to A$15,900 p.a. + tax-free meal & entertainment A$2,650 p.a.
Reputable organization with strong relationships in primary health care
5 weeks annual leave, paid parental leave, and annual CPI salary increases
Welcoming, supportive team culture
Convenient Robina office location with free on-site parking
About The Role
As the Data Engineer / Scientist, you will transform how health data is collected, linked, and analysed. You will design data pipelines, implement privacy-preserving record linkage, and apply advanced analytics and machine learning to generate actionable insights.
Key Responsibilities
Design and maintain scalable data engineering solutions using Microsoft Azure tools (Synapse, Fabric, Data Factory)
Lead the linkage of general practice and hospital data using Privacy Preserving Record Linkage (PPRL)
Develop and optimise ETL pipelines and integrate APIs for robust data workflows
Apply machine learning and AI techniques for predictive modelling and advanced analytics
Build and maintain Power BI dashboards and productivity tools for data-driven decision making
Ensure data governance, privacy, and security standards (ISO*****, FHIR) are upheld
Collaborate across functional teams and communicate complex data insights to non-technical stakeholders
Support analytics maturity uplift across the organization and contribute to strategic projects
Eligibility Criteria
Essential
Tertiary qualifications in Data Science, Computer Science, Information Systems, Software Engineering, Statistics, or related discipline
Minimum 3 years' experience managing and optimising data repositories within the Microsoft Azure ecosystem
Strong experience with Azure Data Factory, Synapse, Fabric and API integration
Expertise in privacy-preserving data linkage and healthcare data environments
Advanced proficiency in SQL and database design
Experience with Power BI and scripting (e.g., PowerShell)
Familiarity with ISO*****, FHIR standards, and privacy legislation
Excellent communication skills and ability to present complex data to diverse audiences
Strong organisational and project management skills
Desirable
Azure certification (e.g., Azure Data Engineer Associate)
Proficiency in Python, R, DAX, Java, or C#
Experience in primary health care or epidemiological data analysis
How To Apply
Submit a cover letter addressing the selection criteria with your current resume. Include specific examples that demonstrate your relevant experience, knowledge, and capabilities for the role.
Applications close Thursday 27th November at 9:00am. The successful candidate will be required to undergo National Police Clearance.
Additional Information
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Analyst, Health Care Provider, and Science
Industries: IT Services, Hospitals and Health Care, Government Administration
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