Description:
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Full time fixed term until 30th June 2027
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Opportunity to work on a national Digital Humanity Infrastructure platform
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Base Salary $108,557 - $118,267 + 17% superannuation
About the opportunity
The Sydney Informatics Hub is looking for a Data Science Software Engineer to develop and enhance FAIR, user-friendly text processing and analysis tools for researchers across diverse disciplines.
You will develop compelling, accessible, and reusable demonstration notebooks and data-driven research case studies as part of the Australian Research Data Commons, Language Data Commons of Australia (LDaCA) project, facilitating self-service researcher training and research acceleration.
Your key responsibilities will be to:
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work within a highly collaborative team, reporting to the Data Science Group Lead
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provide software engineering support on projects undertaken by Sydney Informatics Hub, as defined by the LDaCA project work packages.
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support activities in the form of software development and training workshops for text analytics and data science
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support the identification and dissemination of research opportunities in the university and the wider business communities
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work collaboratively with other parts of Sydney Informatics Hub to build and develop an engineering and entrepreneurial culture in the support of data science across the university.
About you
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tertiary qualifications and/or relevant experience in a related field
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experience in planning and development of complex data processing software projects and pipelines, processing data from a variety of sources and destinations, ranging from file systems to enterprise data systems. AND/OR; experience in full stack application development involving HTML, CSS, JavaScript, back end programming and databases from initial requirements, design to deployment
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front end development skills and text analytics skills desirable
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experience in eliciting user requirements through consultation and problem solving to design solutions that meet time constraints
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experience and/or willingness to apply best practice in software development
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excellent interpersonal, verbal and written communication skills with sound negotiating and conflict resolution skills and a demonstrated level of tact and discretion in dealing with day to day operational matters
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demonstrated ability to organise and prioritise work, sometimes under pressure, with competing priorities and sometimes limited supervision
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a good understanding of software engineering tools, modern data analytics methods, and familiarity with statistical or machine learning techniques
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a knowledge of modern programming languages including one of Python or JavaScript.
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.
Sponsorship / work rights for Australia
Please note: Visa sponsorship is not available for this position. This role requires valid work rights for Australia.
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.
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 any documents in alternate formats, please contact Kale Claffey, Recruitment Operations by email to kale.claffey@sydney.edu.au
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The University reserves the right not to proceed with any appointment.
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Applications Close
Sunday 27 April 2025 11:59 PM