Join to apply for the Research Compute Data Scientist role at University of Sydney
Join to apply for the Research Compute Data Scientist role at University of Sydney
This range is provided by University of Sydney. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
A$108,557.00/yr - A$118,267.00/yr
* Exciting opportunity within the Sydney Informatics Hub to support university-wide research
* Base Salary $108,557 to $118,267+ 17% superannuation
* Full time, fixed term position until 31st December 2026 - Secondment Backfill
About the opportunity
The Sydney Informatics Hub (SIH) enables higher quality impactful research and output at the University of Sydney by providing researchers with compute, data science, software engineering, statistical and bioinformatics expertise, advice and tools.
As a Research Compute Data Scientist, you will provide deep technical knowledge and support with research computing, data science, ML/AI and informatics projects to researchers across all faculties in the university. You will be advising on and delivering high performance computing, GPU and cloud computing technologies, and solving researcher's problems through data science, ML and AI, informatics methods, software tools, data systems, and digital platforms.
Reporting to the Research Computing Group Lead, your key responsibilities include:
* provide collaborative research computing and data science support for projects undertaken by SIH as well as directly to researchers at the university.
* share your expertise in research computing, including HPC, GPU-computing, cloud technologies, ML/AI or similar.
* build supportive relationships across the university and national research technology community
* design and deliver inclusive training programs that enable world-class research
About you
If you are passionate about helping researchers add to our body of knowledge and achieve real-world impacts, you will thrive in this role.
* tertiary qualifications in computational area of study (e.g. data science, computer science, statistics, engineering, physics, biology, bioinformatics, mathematics)
* experience with modern data-centric programming languages such as Python, R, Julia, or Matlab
* experience with data processing pipelines, data science, machine learning, high performance computing, AI, or cloud technologies expertise in research computing in Windows, MacOS, and primarily Linux environments
* experience in research methodology with the ability to contribute to preparation of scientific papers
* strong communication skills and enthusiasm for helping others succeed
* (desirable) knowledge of developmental languages, e.g. CUDA, OpenCL and HPC tools akin to MPI and OpenM
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
The University of Sydney
The University reserves the right not to proceed with any appointment.
Click to view the Position Description for
this role.
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Education, Information Technology, and Research
* Industries
Data Infrastructure and Analytics
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