Research Fellow (Biostatistician)

About the role

The Kirby Institute is a world-leading health research institute at UNSW Sydney. We work to eliminate infectious diseases, globally. Our specialisation is in developing health solutions for the most at-risk communities. Putting communities at the heart of our research, we develop tests, treatments, cures and prevention strategies that have the greatest chance of success.

Responsibilities

The Research Fellow (Biostatistician) is responsible for the design, documentation, analysis and reporting of linked and surveillance health data research conducted by The Kirby Institute. The position holder’s primary obligation is the statistical analysis of national linked health and social and surveillance datasets in collaboration with investigators and stakeholders. You will work with large-scale linked, surveillance and administrative datasets to generate meaningful evidence that informs research, policy and practice. Collaborating with multidisciplinary teams, investigators and key stakeholders, you will apply advanced analytical methods, contribute to high-quality publications and reports, and present findings to diverse audiences.

Requirements

Based in Kensington, Sydney. Full rights to work in Australia are required; visa sponsorship is not available for this position.

Qualifications

A PhD in a related discipline and/or relevant work experience.

Skills

• High level skills in relevant statistical packages including STATA, R, SAS, PySpark and Python
• Previous experience in the management and analysis of linked health data, the production of statistical analysis plans and the use of GitHub
• Demonstrated ability to undertake high-quality academic research and conduct independent research with limited supervision
• Demonstrated track record of publications and conference presentations relative to opportunity
• Develop and execute advanced data management and statistical analysis methods on large scale surveillance, linked and administrative datasets
• Draft and finalise study concept sheets, statistical analysis plans, code, data visualisations, scientific manuscripts and reports
• Demonstrated ability to work in a team, collaborate across disciplines, and build effective relationships

Benefits

• 17% Superannuation and leave loading
• Flexible working
• Additional 3 days of leave over the Christmas Period
• Access to lifelong learning and career development
• Progressive HR practices

Pay

$118,467 base salary

Schedule

Full‑time (35 hours per week) – 12‑month fixed‑term contract