Senior Research Associate

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

• Contribute to the design, implementation, analysis and dissemination of clinical, epidemiological, and public health research focused on viral hepatitis (hepatitis B and hepatitis C), prison health, injecting drug use, and other priority populations.
• Be involved in research projects from inception through to completion and dissemination, with a primary focus on quantitative data analysis, interpretation of findings, and scientific manuscript development and publication.
• Work both as part of a team and independently, while receiving strategic scientific mentorship and support.
• Contribute to a portfolio of observational epidemiological studies, surveillance systems, cohort studies, and analyses of large clinical and administrative datasets.

Requirements

• A PhD in epidemiology, biostatistics, public health, infectious diseases, health services research, or a closely related discipline, and/or relevant work experience.
• Advanced proficiency in quantitative data analysis, including data management, statistical modelling and analysis using statistical software such as Stata and/or R.
• Demonstrated ability to undertake all stages of quantitative research, from development of analysis plans through to dissemination of findings, with limited supervision.
• Demonstrated experience analysing observational, surveillance, cohort, administrative, health services or clinical research datasets.
• Demonstrated ability to prepare scientific manuscripts suitable for publication in peer-reviewed journals, with limited supervision.
• Develop statistical analysis plans and undertake advanced quantitative analyses using commonly used statistical packages such as Stata and/or R.
• Analyse large observational, surveillance, cohort, clinical and administrative datasets.
• Conceptualise and lead the development of manuscripts for scientific publications (including statistical analysis, interpretation of findings, preparation of manuscript drafts, coordination of coauthor review and responses to peer-review comments) and contribute to publications initiated by collaborators and colleagues.

Qualifications

Please refer to the position description for full details.

Skills

• A PhD in epidemiology, biostatistics, public health, infectious diseases, health services research, or a closely related discipline, and/or relevant work experience.
• Advanced proficiency in quantitative data analysis, including data management, statistical modelling and analysis using statistical software such as Stata and/or R.
• Demonstrated ability to undertake all stages of quantitative research, from development of analysis plans through to dissemination of findings, with limited supervision.
• Demonstrated experience analysing observational, surveillance, cohort, administrative, health services or clinical research datasets.
• Demonstrated ability to prepare scientific manuscripts suitable for publication in peer-reviewed journals, with limited supervision.
• Develop statistical analysis plans and undertake advanced quantitative analyses using commonly used statistical packages such as Stata and/or R.
• Analyse large observational, surveillance, cohort, clinical and administrative datasets.
• Conceptualise and lead the development of manuscripts for scientific publications (including statistical analysis, interpretation of findings, preparation of manuscript drafts, coordination of coauthor review and responses to peer-review comments) and contribute to publications initiated by collaborators and colleagues.

Benefits and Culture

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

$127,947 base, plus 17% superannuation and leave loading

Schedule

Full-time (35 hours a week)

Contact

Frank McHenry, Talent Acquisition Associate
E: f.mchenry@unsw.edu.au