Data Science Hub Statistician

• 5 x full time, fixed term opportunities. Located on the Camperdown Campus at the Charles Perkins Centre  

• Build upon our existing strengths in Bioinformatics and Data Analytics at the Charles Perkins Centre to create a broader research program including expertise in multi-omics, Systems Biology, Computation and DataBase design, Health Data (including population and wearables data). 

• Base Salary, Level A/B/C $109,301 - $173,492 p.a + 17% superannuation 

About the opportunity 

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. 

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 which 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.  . Please describe in your cover letter which Level (A/B/C) would be most appropriate for your career stage and which Faculty (Science or Medicine and Health) would be best aligned with your research background. 

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 recruitment.sea@sydney.edu.au 

© The University of Sydney 

The University reserves the right not to proceed with any appointment. 

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