Job Description

• Employment Type: Full Time, 35 hours per week
• Duration: Fixed Term up until 30 June 2027
• Remuneration: Professional Level 7 $113K- $123K based on experience+ 17% Super+ Annual Leave Loading
• Location: Kensington Campus, New South Wales
• Visa sponsorship is not available for this position. Candidates must hold unrestricted work rights to be considered for this position.

The ANZNN Clinical Quality Registry (CQR) Data Scientist plays a key role in strengthening the reporting and data capabilities of the Australian and New Zealand Neonatal Network (ANZNN) within the National Perinatal Epidemiology and Statistics Unit (NPESU), Centre for Big Data Research in Health, Faculty of Medicine. The role supports a collaborative network of Neonatal Intensive Care Units (NICUs) and Special Care Nurseries (SCNs) across Australia and New Zealand that aim to improve outcomes for high-risk infants receiving neonatal critical care.

Working on projects funded through the National Clinical Quality Registry Program, the Data Scientist enhances integration across ANZNN data collections, further develops and operationalises quarterly benchmarking reports for NICUs, and leads statistical analysis and reporting for a new benchmarking report for high-dependency SCNs. The role involves advanced data analysis, statistical modelling, and data management using tools such as R and SQL, while ensuring robust documentation and reporting processes.

The position collaborates closely with the ANZNN Statistician, the Special Care Working Group, and data providers to address data quality issues and support evidence-based benchmarking and quality improvement initiatives. Reporting to the ANZNN Operations & Registry Manager, the role contributes to the broader research and professional activities of NPESU and the Centre for Big Data Research in Health.

Skills & Experience

• Post-graduate qualifications (or nearing completion) in epidemiology or biostatistics or comparable experience and qualifications.
• Advanced skills in statistical software (eg. R, SQL) for data management and statistical analysis.
• Demonstrated ability to independently develop and execute high level statistical analysis and data manipulation plans for reports and projects.
• Demonstrated ability to manage and analyse large health data collections.
• Excellent attention to detail, commitment to quality and high-level organisational skills.
• Excellent communication and interpersonal skills, with ability to work independently as well as in a team environment.
• Sound stakeholder management skills, with the ability to liaise effectively with a range of stakeholders.
• Excellent time management skills, with a demonstrated ability to respond to changing priorities, manage multiple tasks and meet competing deadlines by using judgement and initiative.
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
• Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training.

Benefits and Culture:

UNSW offer a competitive salary and access to a plethora of UNSW-perks including:

• Career development opportunities
• 17% Superannuation contributions and additional leave loading payments
• Additional 3 days of leave over Christmas period
• Discounts and entitlements (retail, education, fitness)

More information on the great staff benefits and culture can be found here

How to Apply:

Make each day matter with a meaningful career at UNSW. Submit your application including your resume & cover letter online before Tuesday 7th April 2026 at 11:55pm. A copy of the Position Description can be found on JOBS@UNSW.

Pre-Employment Checks
Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for.

These pre-employment checks may include a combination of some of the following checks: -

• National and International Criminal history checks
• Entitlement to work and ID checks
• Working With Children Checks
• Completion of a Gender-Based Violence Prevention Declaration
• Verification of relevant qualifications
• Verification of relevant professional membership
• Employment history and reference checks
• Financial responsibility assessments/checks.
• Medical Checks and Assessments

Compliance with the necessary combination of these checks is a condition of employment at UNSW.

Get in Touch:

Aarti

a.aarti@unsw.edu.au

Talent Acquisition Associate

Please apply through the application portal and not via the contact above.

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.