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Digital coordination centre data scientist

Melbourne
The Royal Melbourne Hospital
Data Scientist
Posted: 29 April
Offer description

The Royal Melbourne Hospital is one of Australia's leading public healthcare providers.

Join the team. Build a career. We are looking for a passionate and dedicated individual to join The Royal Melbourne Hospital.

Digital Coordination Centre Data Scientist

Role Details

* Full Time Fixed term role - 6 months
* Shape the future of digital health — join Victoria's first Digital Coordination Centre
* Collaborate across a multidisciplinary team

About The Team

The Digital Coordination Centre (DCC) at The Royal Melbourne Hospital (RMH) was established in August 2023 and designed to create situational awareness through real-time data analytics to support patient access and flow. The DCC co-locates a multidisciplinary team who utilise informatics tools to collaboratively improve access and flow across the RMH. As a Victorian health service first, the DCC is firmly embedded into the operations of the health service, continually improving its capability through ongoing learning and improvement.

About The Role

The Digital Coordination Centre (DCC) team, in partnership with the Clinical Informatics team, is seeking an experienced and motivated Data Scientist to join a highly collaborative and innovative multidisciplinary team. This 6-month pilot role will be embedded as the analytics lead to identify, validate, and prototype high-impact operational decision-support use cases for the DCC, with an initial emphasis on understanding data readiness and feasibility. Reporting jointly to the Director, Clinical Informatics Centre and the Director, Access and Flow, you will work as part of the Digital Team responsible for the support, maintenance, development and continuous improvement of the DCC's data and analytics capability.

About You

You are an analytical, curious, and organised professional who:

* Holds a tertiary qualification in data science, computer science, statistics, applied mathematics, or a related quantitative field
* Has strong proficiency in Python for data science, including data manipulation, statistical analysis, machine-learning workflows and data visualisation
* Demonstrates skills in analysing and interpreting data, and communicating findings concisely and accurately — in both verbal and written formats — tailored to a range of stakeholder audiences
* Has experience applying Python to real-world data science problems, including data preparation, modelling, validation and operational deployment
* Brings experience with complementary languages and tools (e.g. SQL, R, .NET, JavaScript, Power BI) used in data engineering, analytics and application integration
* Has experience with electronic medical record analysis (desirable)
* Holds CHIA certification (desirable)

Benefits Of Working At RMH

* Be part of a supportive and values-driven workplace culture
* Career growth opportunities, ongoing training, and professional development
* Access to Health & Wellbeing programs including Fitness Passport, Employee Assistance Program (EAP), and Staff Peer Support
* Salary packaging, on-site car parking, and great public transport access

All appointments are made subject to a satisfactory Criminal History Record Check and satisfactory Working With Children Check.

The RMH is committed to creating a culturally safe environment as a collective responsibility. We draw on our principles of self‐determination, equity, accountability, and shared learning to create a culturally responsive health system that challenges how we strive for continuous quality improvement to meet the expectations of the communities and patients we serve.

RMH is a child safe organisation, committed to upholding the rights, safety, and wellbeing of children and young people in line with the Child Safe Standards.

As a leader in healthcare, we recognise the need to foster a culture of equity, inclusion, and belonging. We encourage people of all backgrounds, identities, and abilities to apply, and will provide adjustments to support equitable participation.

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