An exciting opportunity exists for a Data Scientist to spearhead the end-to-end analytics lifecycle for foundational machine-learning and AI solutions: formulating statistical hypotheses, designing and validating rigorous models, and operationalising production-ready pipelines using Python, SQL/NoSQL and cloud-based MLOps platforms.

Job details

An exciting opportunity exists for a Data Scientist to spearhead the end-to-end analytics lifecycle for foundational machine-learning and AI solutions: formulating statistical hypotheses, designing and validating rigorous models, and operationalising production-ready pipelines using Python, SQL/NoSQL and cloud-based MLOps platforms. Partnering closely with clinical leaders, informatics specialists and programme managers, the Data Scientist will translate complex nursing workflows and electronic-medical-record data into governed, bias-monitored algorithms that measurably improve staffing safety, roster efficiency, patient-safety indicators and hours-per-patient-day forecasting.

Sunshine Coast Health is in southeast Queensland and extends through the coastal and hinterland areas from Caloundra in the south and Gympie in the north. Sunshine Coast Health is a values-based organisation. We are committed to the maintenance of a culture in which we treat our colleagues with respect as we do our patients, consumers and the community. We respect, protect and promote human rights in our decision-making and actions.

Key responsibilities include:

• This role works under legislation and guidance pertaining to data handling and protection, medical devices maintenance and IT acceptance and deployment in the SCHHS and Queensland Health. You will need to be able to both understand and explain those principles and raise alarm if risks are detected.
• Conduct cutting-edge research in machine learning and AI with applications in nursing and healthcare.
• Identify, design, and implement new methodologies and techniques to solve complex nursing-related problems.
• Develop, test, and optimize machine learning models and AI algorithms to improve patient care and nursing workflows in accordance with Queensland Health data-privacy and IT-deployment standards.

Remuneration value up to $182 185 p.a., comprising salary between $150 906 - $159 677 p.a., employer contribution to superannuation (up to 12.75%) and annual leave loading (17.5%) (AO8) (temporary position available for 24 months). Applications will remain current for 12 months. Please note: only applications from candidates will be accepted (applications that may result in an agency fee will not be considered).

Why work for us?

We offer rewarding career opportunities across a wide range of clinical and non-clinical areas across our health service and pride ourselves on providing a work environment that is safe, satisfying, flexible, and promotes a healthy work-life balance.
As a Queensland Health employee, you will benefit from a higher than standard employer contribution to Superannuation of up to 12.75%, access to salary packaging, flexible working arrangements and competitive salary rates with annual incremental increases.
We are committed to providing a diverse and inclusive workplace for our people and our community. We encourage people of all genders, races, ages and abilities to apply for roles within our Health Service.
You can find out more about why it's so great to work at Sunshine Coast here: https://www.health.qld.gov.au/sunshinecoast/careers 

As a Sunshine Coast Health employee, you will receive competitive remuneration and have access to:
• A wellness program;
• Generous superannuation;
• Flexible work arrangements;
• Career training and development; and
• Salary packaging.

Check out the latest updates here:
https://www.sunshinecoast.health.qld.gov.au/ 

Further information

We are committed to building inclusive cultures in the Queensland public sector that respect and promote human rights and diversity.

**APPLICANTS ARE TO APPLY ONLINE** The following file types are accepted: .jpg, .gif, .bmp, .png, .rtf, .txt, .doc and docx. Do not upload zipped files, tagged pdfs or protected documents. Click on the "Apply" button to submit your application.

Documents

Before applying for this vacancy please ensure you read the documents below.

• SC655664 - RD (PDF, 384KB)
  Role Description
  
  Information for Applicants, SCHHS (PDF, 1.79MB)
  Information Package for Applicants