Research Fellow/Senior Research Fellow, Biostatistics
- Work with internationally renowned experts in various health fields and broaden your experience in statistical methodologies
- Based in the Medical School on Royal Perth Campus in the Perth CBD
- Salary range: Level B, $98,526 - $116,792 or Level C, 120,444 - $138,713 p.a.
Faculty of Health and Medical Sciences
UWA Medical School
WA Centre for Health and Ageing
The University of Western Australia (UWA) is ranked amongst the top 100 universities in the world and a member of the prestigious Australian Group of Eight research-intensive universities. With an enviable research track record, vibrant campus and working environments, supported by the freedom to ‘innovate and inspire’ there is no better time to join Western Australia’s top University.
About the team
The WA Centre for Health and Ageing (WACHA) is a leading education and clinical studies centre that has redefined ageing research in Western Australia. Our researchers continue to discover innovative cures and treatments to advance the health of people in midlife and beyond.
Launched in 2000 with the goal of improving the health of people in midlife and beyond, WACHA brings together experts, researchers, clinicians and students, empowering them to identify and solve the most critical challenges in health research.
About the opportunity
Reporting to Professor Leon Flicker, Executive Director of WACHA, you will assist with statistical analyses and data management of the Health in Men Study (HIMS) cohort. Funded by several grants from the NHMRC over the last 24 years, it is has already generated numerous publications. In addition, this role will serve as lead statistician on a variety of other studies. You will contribute to a research project that aims to address the gaps in our knowledge in regards to achieving successful ageing.
This position will also provide advice and support to researchers, collaborators and research students concerning the design and appropriate statistical methodologies, with a focus on linked data sets. You will have the opportunity to work in a multi-disciplinary team of internationally renowned experts like Professors Graeme Hankey, Osvaldo Almeida, Bu Yeap and Paul Norman.
To be considered for this role, you will demonstrate:
- PhD or a postgraduate degree in epidemiology, biostatistics, statistics and or other quantitative research techniques or equivalent experience
- Statistician experience preferably in a research setting
- Experience in fitting and/or interpreting complex statistical models.
- Good communication skills including for a lay audience
- Ability and willingness to publish high quality research
- Analysis of observational studies, clinical trials and health linkage data. Additional expertise in trajectory analysis would be desirable (desirable)
To succeed in this position, you will have experience in management of large data sets, preferably in the analysis of clinical trials and health linkage data. Your ability to prioritise workload and meet competing deadlines will enable you to write analysis and present your research findings at conferences, seminars and publish quality research papers. Prior experience in supervising research students and running short courses and workshops are desirable.
Full details of the position's responsibilities and the selection criteria are outlined in the position description.
Closing date: 5:00 pm on Monday, 16 September 2019
This position is only open to applicants with relevant rights to work in Australia.
Application Details: Please apply online via the Apply Now button.
Our commitment to inclusion and diversity
UWA is committed to a diverse workforce. We celebrate inclusion and diversity and believe gender equity is fundamental to achieving our goal of being a top 50 university by 2050.
- We have child friendly areas on campus, including childcare facilities. Flexible work arrangements, part-time hours and job sharing will all be considered.
- UWA has been awarded Platinum Employer Status for being a Top Ten Employer for LGBTI Inclusion by the Australian Workplace Equity Index (AWEI -2019).