Researcher In Bioinformatics

• Full-time 12 -24-month fixed-term position
• Research Fellow (Level A) in the Charles Perkins Centre on the Camperdown Campus
• Base salary starting from $83, 454 plus 17% superannuation

About the opportunity
The Imaging and Phenotyping Laboratory is a cross-disciplinary, data-intensive scientific group with the mission to revolutionise radiology, imaging, and phenotyping to be the key source of clinical decision-making information in medicine.
The University is seeking to appoint a Research Fellow ( Level A) to work in the Imaging and Phenotyping Laboratory. The goal of the laboratory is to have work translated into frameworks for the early identification and treatment of chronic brain diseases, improving outcomes for people.
You will need to be very well organised and have very good communication skills, as the role requires significant levels of cooperation within the group, with research collaborators and with vendors. High-level problem solving skills and the ability to function productively, efficiently and autonomously from direct supervision are vital to successfully performing the role. This position is within the Imaging and Phenotyping Laboratory; Sydney School of Health Sciences/ Faculty of Medicine and Health at the University of Sydney.
Your responsibilities include:

• Work across projects in a fast-paced and technically demanding imaging and phenotyping lab
• code across multiple languages. You will need to have familiarity with database architecture including SQL, be competent in statistics and to be able to apply AI/ machine learning methods
• work on projects which all share a common data architecture, and combine imaging with other types of data including genetics, clinical data, other forms of "omics" (metabolomics, proteomics etc), and any other available "phenotype" information
• contribute to successful applications for competitive research grants and/ or funding
• contribute to research collaborations facilitating knowledge or technology transfer
• bring and maintain a research profile that meets University expectations and standards - including publication of peer-reviewed journal articles and producing conference papers.

Candidates should have all or most of the following:

• Have a PhD in an academic field relevant to the discipline -preferable background in scientific medical research, engineering, or computer science
• a developing research profile evidenced by original, high-quality and independent research in the discipline or area of expertise
• experience and expertise in data analysis and statistics
• experience in assisting with student supervision including supervision of honours students and potentially the co-supervision of PhD students
• high levels of motivation and the capacity for independent work
• experience in supervising or mentoring others and/or coordinating team activities
• demonstrated capacity to communicate effectively across a range of media and forum
• expertise in computer programming and image analysis

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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.
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EEO statement
At the University of Sydney, our shared values include 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 , , , , and those who identify as . 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.
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For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Rachel Yazigi, Recruitment Operations, by email to .
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Applications Close
Wednesday 10 January 2024 11:59 PM