Employer : Sydney Precision Data Science Centre, University of Sydney
Closing date: 27/01/2025
Brief position description:
We are currently seeking to appoint five research focused roles to work in the Data Science Hub at the Charles Perkins Centre. The Data Science Hub is a collaborative platform funded by the Charles Perkins Centre, Faculty of Medicine and Health, and Faculty of Science, to increase the capacity in data-intensive research with direct translational impact in biomedical and metabolomics health, public health and beyond. The Data Science Hub will enable context-specific data analysis on collaborative projects as well as enable the successful individuals to build their own independent careers in this exciting area. The Research Associate / Senior Research Fellow roles will be integral to the establishment of the Data Science Hub and will have an opportunity to work at the Charles Perkins Centre, with its diverse community of experimental scientists, preclinical researchers, experts in wearables data, epidemiology and data linkage, social scientists with access to large datasets associated with each area.
The Charles Perkins Centre is a multidisciplinary centre and 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.
Your key responsibilities in addition to driving your research program, will be to:
- establish and build analytical capacity of the Data Science Hub associated with large biobank repositories, multi-omics platforms, molecular epidemiology and multi-modality integration including and not limited to imaging, nutrition and wearables data, and establish a workflow for the processing, integration, and curation of Biobank, and inhouse data
- facilitate collaboration within the CPC and the broader University of Sydney community 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.
- undertake teaching duties where required
- undertake administrative duties to manage the Data Science Hub.
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 a Senior Research Fellow / Data Science Hub Statistician who has:
- experience as academic track researcher or leading a research program
- track record of initiating and leading major collaborative projects
- strong background in the development of novel and applied statistical approaches to analyse large-scale datasets
- experience in implementing, and scaling these methods using robust programming tools and practices for the University and the wider community
- demonstratable track record of expertise in one of the following areas: large biobank data management and analysis, health data management and analysis from large population databases and cohorts, complex systems modelling, or multi-omics and mass spectrometry data and analysis.
Contact name: Amber Colhoun
Contact email: data-science.admin@sydney.edu.au