Research Data Analyst- School of Public Health 2 X Full time fixed term positions until 30 June 2027 at Camperdown Excellent Research Data Analyst opportunity to work on the OCEAN study, a national study of the clinical activity of nurses, physiotherapists and Aboriginal & Torres Strait Islander Health Workers and Health Practitioners working in Australian general practice Base Salary $ 108,557 17% superannuation About the opportunity The Occasions of Care Explained and ANalysed (OCEAN) tool is an online data collection platform used to collect and analyse clinical activity data from primary health care clinicians. This is a national study of the clinical activity of nurses, physiotherapists and Aboriginal &/or Torres Strait Islander Health Workers and Health Practitioners working in Australian general practice This innovative research will involve data collection from general practice nurses, nurse practitioners, physiotherapists and Aboriginal &/or Torres Strait Islander Health Workers and Health Practitioners — the first data collected on clinical activity for these professions in primary care in Australia. The resulting dataset will create an important evidence base to assess the contribution of these non-medical professionals to the wider general practice team. We are seeking two Data Analysts with health research data analysis experience to support data analyses in our primary care health services research. You will support the OCEAN team by providing in-depth analysis of research data and ensuring high standards of data accuracy and reliability in all reports. Your key responsibilities will be to: provide detailed statistical analysis of research data use advanced analytical techniques and methods manage data provision and reporting for key external stakeholders. maintain and ensure high data quality standards for reliability and accuracy foster open communication and collaboration within the team, addressing stakeholder queries and concerns in a timely manner, while building trust within immediate work networks oversee report compilation to meet established standards, proactively identify compliance improvements, and collaborate with the team to rectify discrepancies perform advanced statistical analysis, program complex algorithms, and generate reports for research projects, ensuring data accuracy and adherence to best practices in statistical methodology provide statistical advice to researchers, link datasets from multiple sources, and prepare derived datasets for analysis. maintain statistical and data management governance protocols to ensure compliance with policies and regulatory requirements collaborate with research teams and university portfolios, providing statistical expertise in the interpretation and publication of research results engage and build strong relationships with stakeholders, facilitating discussion to address concerns and gather feedback, ensuring alignment with work area goals About you possesses tertiary qualifications or demonstrated relevant, equivalent professional experience in statistics, biostatistics, epidemiology, psychology or another relevant field has strong knowledge of statistical programming languages of R and SAS. Experience with STATA and/or Python desirable has demonstrated experience working on research projects involving real-world large health data sets possesses experience in reporting analytical findings to scientific and broader audiences, including documentation, presentations, papers and data visualizations has a high level of attention to detail and is highly organised ability to work independently or as part of the team demonstrates planning, analysis and communication skills together with the ability to work according to strict deadlines and manage various demands Sponsorship / work rights for Australia Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion , evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People , women , people living with a disability , people from culturally and linguistically diverse backgrounds , and those who identify as LGBTIQ . We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion . How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Cecilia Blamey, Recruitment Operations by email to cecilia.blamey@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Sunday 01 June 2025 11:59 PM
