Research Fellow; Biostatistician

Job location

Australia – Sydney, NSW. Hybrid, Kensington, Sydney.

Research Fellow (Biostatistician) – Full Time, 35 hours per week, 24-month fixed term.

Job No: 540238.

• Employment type:
  
  Full time (35 hours per week)
• Duration: 24-month fixed term
• Remuneration:
  Level A $113,911 – Level B $127,947 base, plus 17% superannuation and leave loading
• Work rights:
  Must hold full rights to work in Australia. Visa sponsorship not available.
• Location:
  
  Hybrid, Kensington, Sydney

The Kirby Institute is a world-leading health research institute at UNSW Sydney, focusing on eliminating infectious diseases globally, especially in high-risk communities.

The Research Fellow (Biostatistician) carries out independent and/or team research, primarily conducting statistical analysis of national linked health and clinical datasets in collaboration with investigators and stakeholders. Responsibilities include design, documentation, analysis and reporting of Kirby Institute projects, covering HIV prevention (PrEP) and cervical disease prevention (HPV vaccination and screening).

The role offers an opportunity to apply advanced statistical techniques to large-scale, complex datasets, shaping policy and practice. It involves independent work and multidisciplinary collaboration.

Reports to Associate Professor Benjamin Bavinton; no direct reports.

• Design study protocols and statistical analysis plans for large-scale linked registry, clinical and administrative datasets.
• Conduct advanced data management and statistical analyses using Stata, R, SAS, PySpark and Python.
• Produce statistical analysis plans, code, data visualisations, scientific manuscripts and reports.
• Collate and interpret findings, communicating results to investigators, stakeholders and policy makers.
• Participate collaboratively across interdisciplinary teams.

• PhD in statistics, public health, epidemiology or a related discipline.
• High-level proficiency with statistical packages (Stata, R, SAS, PySpark, Python).
• Experience managing and analysing linked health data, producing statistical analysis plans, and using Git Hub.
• Demonstrated ability to conduct independent research and produce high-quality academic output.
• Track record of publications and conference presentations.
• Ability to develop and execute advanced data-management methods on large linked datasets.
• Ability to draft study concept sheets, statistical analysis plans, code, visualisations, manuscripts and reports.
• Teamwork, collaboration and effective relationship building.

• All Level A qualifications plus evidence of research leadership and high-impact outputs.
• Experience as chief investigator in competitive grant applications or evidence of active participation in grant-funded collaborations.
• Ability to design research projects.
• Experience mentoring and guiding students and colleagues; involvement in HDR supervision.

• 17% superannuation and leave loading.
• Flexible working arrangements.
• Additional 3 days of leave during Christmas.
• Access to lifelong learning and career development.
• Progressive HR practices.

• National and international criminal history checks.
• Entitlement to work and s.
• Working With Children checks.
• Completion of Gender-Based Violence Prevention Declaration.
• Verification of relevant qualifications and professional memberships.
• Employment history and reference checks.
• Financial responsibility assessments.
• Medical checks and assessments.

Applications close Thursday 2 July 2026 before 11:30 pm Sydney time.

Applicants from diverse backgrounds are encouraged. UNSW provides workplace adjustments for people with disability.

Frank McHenry, Talent Acquisition Associate – E: f.mchenry.au

UNSW is committed to equity, diversity and inclusion. Applicants from women, 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.