Research Compute Data Scientist

• Full time, fixed term position until 31st December 2026 – Secondment Backfill

• Exciting opportunity within the Sydney Informatics Hub to support university wide research

• Family-friendly workplace, with flexible and hybrid working conditions available 

• Base Salary $108,557 to $118,267+ 17% superannuation

About the opportunity

The Sydney Informatics Hub (SIH) plays a key role in enabling research excellence by facilitating higher quality impactful research and output by providing research compute, data science, software engineering, statistical and bioinformatics expertise to Sydney University researchers.

As a Research Compute Data Scientist, you will provide deep technical knowledge and support of translational data science and informatics projects to researchers across all faculties in the University. You will be advising the use of, develop, and implement data science algorithms, informatics methods, statistical approaches, software tools, data systems, and digital platforms, with a particular focus on using High Performance Computing and Cloud Computing technologies.

Reporting to the Research Computing Group Lead, your key responsibilities include:

• provide collaborative data science and research computing support for projects undertaken by SIH

• share your expertise in research computing, including HPC, GPU-computing, Cloud technologies, or similar.

• create and enhance research activities through collaborative software development

• 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 (data science, computer science, statistics, engineering, physics, biology, bioinformatics, mathematics for example)

• 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) expert knowledge of developmental languages, e.g. CUDA, HIP, ROCm, OpenCL, C++, Java, Fortran and HPC tools akin to MPI and OpenMP.

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.

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