Research Fellow-Biostatistician (The Kirby Institute)
- Employment Type: Full - time (35 hours a week)
- Duration: 24 Month Fixed Term
- Remuneration: Level A $113,911- Level B $127,947 base, plus 17% superannuation and leave loading
- Work rights required: Visa sponsorship is not available for this position. Candidates must hold full rights to work in Australia to be considered for this position.
- Location: Hybrid, Kensington, Sydney.
About The Kirby Institute:
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.
Details of the role
The Research Fellow (Biostatistician) is expected to carry out independent and/or team research and develop their research expertise. The position holder’s primary obligation is the statistical analysis of national linked health and clinical datasets in collaboration with investigators and stakeholders. They will be responsible for the design, documentation, analysis and reporting of Kirby Institute projects. The projects include HIV prevention including pre-exposure prophylaxis (PrEP) and cervical disease prevention including HPV vaccination and screening.
This role offers an exciting opportunity to contribute to high-impact public health research using large-scale, complex datasets. You will apply advanced statistical techniques to inform critical work in HIV and cervical disease prevention, collaborating with leading researchers and stakeholders. The position combines technical excellence with real-world impact, allowing you to design studies, develop analysis plans, and communicate findings that shape policy and practice. You will work both independently and within multidisciplinary teams, contributing to innovative projects while building your research profile and advancing your expertise in biostatistics and population health.
The role of Research Fellow (Biostatistician) reports to Associate Professor Benjamin Bavinton and has no direct reports.
Some key skills required as a Level A:
- A PhD in statistics, public health, epidemiology or a related discipline
- 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
- Proven track record of publications and conference presentations relative to opportunity
- Develop and execute advanced data management and statistical analysis methods on large scale linked registry, clinical 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
Some key skills required as a Level B include the above and:
- Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of ability to achieve research excellence as well as the capacity for research leadership
- Participate as a chief investigator in competitive grant applications or show evidence of active participation in research collaborations funded by competitive grants
- Design research projects
- Mentor and guide students and colleagues and develop the next generation of academics through involvement in the supervision of HDRs (as per the norms of the discipline)
Please refer to the position description for full details.
UNSW 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
More information on the great staff benefits and culture can be found here.
Pre-Employment Checks:
Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for.
These pre-employment checks may include a combination of some of the following checks:
- National and International Criminal history checks
- Entitlement to work and ID checks
- Working With Children Checks
- Completion of a Gender-Based Violence Prevention Declaration
- Verification of relevant qualifications
- Verification of relevant professional membership
- Employment history and reference checks
- Financial responsibility assessments/checks
- Medical Checks and Assessments
Compliance with the necessary combination of these checks is a condition of employment at UNSW.
How to apply:
Please click on Apply now to apply online. Applications should not be sent to the contact listed below.
Please provide a resume and a separate document addressing the skills and experience listed in the Position Description. A copy of the Position Description can be found on JOBS@UNSW.
Contact
Frank McHenry, Talent Acquisition Associate
E: f.mchenry@unsw.edu.au
Applications close:Thursday 2nd July before 11.30pm Sydney time
UNSW is committed to equity diversity and inclusion. Applications from women, people of 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. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.
