Organisation/Company: UNIVERSITY OF SYDNEY Research Field: Biological sciences Researcher Profile: Recognised Researcher (R2) Country: Australia Application Deadline: 17 Nov 2024 - 00:00 (UTC) Type of Contract: Other Job Status: Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 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.
Responsibilities 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: 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.
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.
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.
Copyright: The University of Sydney The University reserves the right not to proceed with any appointment.
#J-18808-Ljbffr