Data Science Trainer

• Full time, continuing role

• Data Science Trainer within the Sydney Informatics Hub

• Starting salary $108,557 Base + 17% Super

About the opportunity

As the Data Science Trainer, you will lead the coordination, delivery, and development of the Sydney Informatics Hub (SIH) data science training programme. The SIH training programme provides advanced training in the effective use of data science, coding, data engineering and informatics methods to university researchers and external clients. Continuous improvement to the programme will be driven by insights gained through active community engagement and pedagogical and data science best practices.

Joining the Sydney Informatics Hub not only are you accelerating your career, but you are also playing a critical role in advancing meaningful and innovative academic research! This is an opportunity to accelerate your training and technical data science skills and work with a highly talented team of academic and professional staff across a range of diverse research projects in the Informatics and Data Science field.  

Your key responsibilities will be to:

• report to the Data Science & AI Group Lead within the Sydney Informatics Hub

• deliver training by the Sydney Informatics Hub to researchers and academics across the university, and external clients

• develop new training materials and services

• manage and collaborate with stakeholders to ensure, identify, and develop training opportunities that use SIH skills and resources effectively

• deliver data science, informatics, and/or software engineering projects

• provide data science and informatics support to researchers internal and external to the university

• work collaboratively with other parts of Sydney Informatics Hub to build and develop an engineering and entrepreneurial culture in support of data science across the university.

About you

• postgraduate qualifications (preferably to PhD level) in a computational area of study (computer science, computational statistics, engineering, physics, biology, for example) and extensive relevant experience

• proven experience in modern data science software and tools

• demonstrable experience and a passion for training/ teaching

• excellent interpersonal, stakeholder engagement and communication skills

• exposure to modern data-centric programming languages (Python, R and Unix) and data management and version control tools such as git.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident.

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, preferably including links to a GitHub or StackOverflow account, personal blog or some other professional portfolio, any additional supporting documentation) can be submitted via the Apply button at the top of the page. 

If you are a current employee of the University or a contingent worker with access to Workday, 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 support filling out this application, 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.

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