221 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of Sydney in Australia
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the community • Studying health disparities and outcomes using epidemiological data The University of Sydney are seeking one part-time (0.4FTE) Research Assistanta to join EPIC-ND, a MRFF-funded research project
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of all.” The incumbent will be highly experienced in NHMRC research projects and specifically be experienced with large healthcare data sets and possess advanced skills in intensive care research Your key
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Full-time, continuing role Join a dynamic team driving data innovation Base salary $126,065 - $142,171 + 17% super About the opportunity We’re looking for an Analytics Specialist to join our
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role centres on Power BI (PBI) - maintaining, developing, and enhancing reports that support data‑driven decision‑making across the University. You’ll work closely with the Records Management team
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data analysis, ensuring the University's projects are aligned with its strategic objectives Base Salary $146,197 - $154,260 + 17% superannuation About the opportunity The Strategic Program Office is
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recipients and adults aged over 65 · lead and contribute to the development of study protocols, ethics applications, data collection methodologies, and statistical analysis plans for clinical
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). You will closely collaborate with key faculty stakeholders and deliver actionable and impactful insights utilising analytics, statistical methods, data visualisation techniques, and AI tools to support
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operations, quality data collection, and strict WHS compliance Base Salary HEO6, $103,185 - $111,237 p.a. + 17% superannuation About the opportunity The University of Sydney is seeking a highly motivated and
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research by contributing to the development of research protocols and the execution of research activities. The role supports researchers through coordination of grant applications, data collection and
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that explore biological and behavioural factors influencing the onset, course, and response to treatment in young people with emerging mental disorders. Extensive collaborations with clinicians, data scientists