AI in Research Training Lead

• Full time, fixed term until 30th June 2027. Located at the Moore Theological College.

• Opportunity to drive nationally significant impact by leading cutting-edge AI training that transforms life science research across Australia

• Base Salary $131,108 - $147,858 (HEO8) + 17% superannuation 

About the opportunity

The Australian BioCommons and Sydney Informatics Hub (SIH), University of Sydney are seeking an AI in Research Training Lead to design, deliver, and scale a national training program on the effective and responsible use of artificial intelligence tools in life science research.

This nationally significant role will empower researchers to apply AI methods to tasks such as text and code generation, data analysis, and literature synthesis, while building critical awareness of their limitations and ethical implications. Based at the University of Sydney, you will join a collaborative and diverse team committed to inclusive and open training and digital research capacity building across the life sciences and beyond.

  

Your key responsibilities will be to:

• work closely with trainers, bioinformaticians, and data scientists at Australian BioCommons and Sydney Informatics Hub to identify training needs and create training opportunities

• deliver national, high-quality, hands-on training in AI methods tailored to life science research

• design, produce and present new training materials aligned with international best practice and evidence based pedagogy

• contribute to the delivery of the Australian BioCommons national training program through workshops, webinars, and reusable digital resources

• represent Australian BioCommons and Sydney Informatics Hub in national collaborations with universities, institutes, and research facilities.

About you

• postgraduate qualifications in a relevant field, or an equivalent combination of training and experience

• demonstrated experience developing and delivering training in AI, bioinformatics, or digital life sciences

• strong working knowledge of AI, data science, and computational approaches used in the molecular life sciences

• practical experience with research computing tools and languages (e.g. Python, R, shell scripting)

• proven ability to develop reusable training resources

• experience collaborating with diverse stakeholders.

Sponsorship / work rights for Australia

You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment.

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 are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by 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. 

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion. 

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 Nicole Turle, Recruitment Operations by email to nicole.turle@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.

Applications Close

Thursday 16 July 2026 11:59 PM