2 x full time, 3-year fixed term opportunities.
Located on the Camperdown Campus at the Charles Perkins Centre Establish and build analytical capacity associated with large biobank repositories and statistical genetics
Base Salary, Level A/B/C: $109,301 - $173,492 p.a + 17% superannuation
About the opportunity We are currently seeking to appoint two research-focused roles to work in the Data Hub at the Charles Perkins Centre.
The Research Associate / Senior Research Fellow (Data Hub Statistician) roles will be integral to the establishment of the Data Hub, a new initiative of the Charles Perkins Centre to increase capacity in data-intensive research using large biobank repositories with direct translational impact in biomedical and metabolomics health research.
The Data Hub will enable context-specific data analysis on collaborative projects.
The Charles Perkins Centre is a world leader in its unique approach to bringing together and aligning the University of Sydney's many disciplines to find solutions to and advance our knowledge and understanding of obesity, diabetes, and cardiovascular disease and related conditions, their causes, and societal impacts.
This creative approach aligns depths and strengths to find solutions to the growing pandemic of metabolic disease.
The successful applicants will also be part of the Sydney Precision Data Science Centre, and the Research Associate will be required to teach 0.2 FTE with the School of Mathematics and Statistics.
We have a strong team working on various aspects of applied statistics and bioinformatics research.
Your key responsibilities will be to: Establish and build analytical capacity associated with large biobank repositories and statistical genetics.
Establish workflow for the processing, integration, and curation of Biobank data.
Facilitate collaboration that involves novel statistical models and machine learning algorithms to better analyse large genomic data sets, such as the UK Biobank and other modern genomic data sets of similar scale.
About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity.
As such, we see the importance of recruiting talent aligned to these values and are looking for Research Associate / Senior Research Fellow (Data Hub Statistician) who have:
A strong background in the development of novel and applied statistical approaches to analyse large-scale genomic data.
Experience in implementing and scaling these methods using robust programming tools and practices for the University and the wider community.
Experience with biobank data management or data ecosystem will be desirable.
To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students, and visitors coming to campus.
Pre-employment checks Your employment is conditional upon the completion of all role-required pre-employment or background checks in terms satisfactory to the University.
Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements.
If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.
EEO statement At the University of Sydney, our shared values include diversity and inclusion, and we strive to be a place where everyone can thrive.
We are committed to creating a University community that reflects the wider community that we serve.
We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ.
We welcome applications from candidates from all backgrounds.
How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.
For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard.
Click on USYD Find Jobs and apply.
For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Simon Drew, Recruitment Operations, Human Resources at ******.
Applications Close Sunday 17 November 2024 11:59 PM
#J-18808-Ljbffr