• CHSRC Program Leads
• CHSRC research and support staff
• Health Services Research Department Staff
• Health Services Researchers
• Clinician Researchers
• Office of Cancer Research staff
• Research Computing Platform
• Business Intelligence
• Peter Mac EMR Team
• RedCap administrative team
• Digital Health & Data Strategy Committee and associated working group members
• Director of EMR Optimisation and the EMR Optimisation team
• Chief Medical/Nursing Information Officers
• Director of IMCT and the IMCT team
• Office of Cancer Research staff
• Various other internal departments and staff
• Peter Mac patients and their carers

• The University of Melbourne, Centre for Digital Health Transformation
• Precinct partners: Royal Melbourne Hospital, Royal Women’s Hospital and Royal Children’s Hospital
• Parkville & Precinct health service EMR teams
• WEHI
• BioGrid
• VCCC hospitals, rural and regional hospitals managing cancer
• Other organisations involved in research projects

• Relevant tertiary qualification in data science, health informatics, biostatistics, epidemiology, computer science, or a related discipline, or equivalent professional experience.
• Demonstrated experience extracting, managing, and analysing data from electronic medical records (EMR), preferably Epic, or other complex clinical information systems.
• Strong understanding of clinical data structures, healthcare workflows, and secondary use of health data for research or service improvement.
• Experience in managing data within a clinical context

• Experience designing and building analytical or reporting workflows using SQL and/or relevant analytics tools such as Python/R/SAAS/PowerBI.

• Demonstrated ability to work within data governance, privacy, ethics, and security frameworks in a healthcare setting.
• Strong documentation skills, including ability to produce clear data definitions, workflows, and process documentation.
• Ability to communicate complex data and analytical concepts to clinical, research, and non-technical stakeholders.
• Proven ability to manage multiple requests, prioritise work, and deliver to agreed timelines.
• Strong collaboration skills and experience working within multidisciplinary teams.
• Ability to work autonomously

• Experience working with Epic reporting tools (e.g. Clarity, Caboodle, Reporting Workbench, SlicerDicer).
• Experience with the Observational Medical Outcomes Partnership (OMOP) standard
• Experience supporting health services research, outcomes research, or quality improvement projects.
• Familiarity with cancer informatics, oncology data, or registry-based datasets.
• Experience with linked administrative datasets or cross-institutional data sharing.
• Knowledge of implementation science, learning health systems, or translational research concepts.
• Experience contributing to peer-reviewed publications, grant applications, or research reports.
• Experience working in a tertiary health service, academic medical centre, or research institute.
• Exposure to data visualisation tools or dashboards (e.g. Power BI, Tableau).

Demonstrated by / Key Performance Indicators

Demonstrated by:

• Provide Subject Matter Expert guidance on datasets.
• Ensure delivery of trusted and timely data and analysis to inform better decisions.
• Promote continuous improvements regarding data quality, data literacy, application usage, relevancy and feedback processes.
• Supporting stakeholders (clinicians, management, researchers) by identifying data needs and providing analytical support
• Perform analysis of workflows, enhancement requests and other technical issues associated with the EMR and develop functional and technical solutions
• Contribute to the design and build of end user devices and interfaces associated with the EMR environment

Key Performance Indicators:

• Data and analytic support provided to agreed HSR priority projects.
• Positive feedback from researchers (clinical and HSR) regarding usability and relevance of analytic outputs.
• Data requests logged, assessed, and prioritised in accordance with agreed frameworks.

2. Clinical and Management Reporting

Demonstrated by:

• Actively monitor and action service requests related to the digital health strategy
• Design and build approved research optimisations to ensure that end users are effectively engaged in the continuous improvement of the EMR to support and improve the delivery of research activities
• Design, validate and confirm any new or changed system functionality with impacted stakeholders
• Perform system testing, including the development and maintenance of test plans, scripts, execution of testing and remediation of issues identified through testing
• Critically and forensically review design documents and specifications
• Design data visualisation and communication products
• Develop data analytical and operational reports to support deliverables.
• Continually improve the reporting capability of Peter Mac through responsive key performance indicator and organisational improvement reports

Key Performance Indicators:

• Data handling aligns with approved protocols and institutional policies.
• Improved efficiency or scalability of EMR reporting workflows.
• Reduction in time or effort required for repeat data requests.

Demonstrated by / Key Performance Indicators

3. Translation into Practice

Demonstrated by:

• Collaboration with clinical and research stakeholders to understand and prioritise enhancement requests that support data workflows
• Engage with stakeholders by providing multiple solutions and leading negotiations to a mutually agreeable outcome
• Present technical concepts in clear, simple and understandable terms so as both technical and non-technical audiences gain an understanding of the problem and proposed solution
• Understand stakeholder needs to transform data into analytical requirements, actionable insights and solutions
• Ability to present to groups of people at various levels of seniority and technical expertise

Key Performance Indicators:

• Stakeholder satisfaction with transparency and consistency of prioritisation decisions.
• Reusable artefacts produced (e.g. data dictionaries, SOPs, templates).
• Contribution to organisational capability in EMR analytics and research data use.

4. Program and Organisational Contribution

Demonstrated by:

• Work with cross-discipline teams to ensure connectivity between various data sources and business problems.
• Collaborate with different sections of Peter Mac, including researchers, clinicians, BI, EMR, IT, Operations, Finance, People & Culture to undertake data extraction and analysis of prioritised projects as dictated by timelines.
• Capture and document learnings about processes and knowhow required for data extraction, management and sharing and convene a yearly meeting between Peter Mac and CDTH to share these learnings to inform future models of sharing of EMR data for collaborative research.
• Participate in and lead meetings with stakeholders.
• Collating requests from stakeholders for HSR prioritisation

Key Performance Indicators:

• Clear communication of scope, timelines, and dependencies to stakeholders.
• Contribution to organisational capability in EMR analytics and research data use
• Effective collaboration demonstrated across internal and cross-precinct partners