Data Lead

Classification: ANU Officer 8 (Information Technology)
Salary package: $115,511 - $123,519 per annum plus 17% superannuation
Term: Full-time, Fixed-term (up to 31 August 2027)

The Position

In this role, the APPN Data Lead will supervise the APPN tech team of three (3) and coordinate the development of computer vision and deep learning tools for the APPN user community.

The Data Lead will implement a data repository for plant phenotyping data, including hyperspectral images, 3D point cloud data, and multiple sensor data streams. All these data need to be stored, analysed, interpreted and made accessible as FAIR datasets to support future re-use and meta-analysis.

The Person

We are looking for a qualified IT specialist with experience in Research Data Management. We seek a strong team player with excellent interpersonal skills and the capacity to develop productive, professional relationships with the team and clients quickly. 

Highly developed organisational skills and effective self-management are key. This role will suit someone who likes challenging problems and encourages team members and colleagues to workshop effective solutions. 

Learn more about the APPN's ground-breaking research and work-class facilities here.

Working at ANU

This is an opportunity to work with a world-class University that undertakes cutting-edge research and has a strong tradition of research-led teaching excellence.

The Australian Plant Phenomics Network (APPN) is a national research collaboration facility with nine nodes, including one at ANU and the University of Adelaide. The APPN-ANU Node is located within the Division of Plant Sciences in the Research School of Biology. It provides research services to publicly and privately funded researchers located internally and externally to the University.

We offer:

• Flexible working arrangements including hybrid arrangements working both on our beautiful, green campus and working remotely,
• Generous paid parental leave entitlements of up to 32 weeks. We are one of the leading employers in Australia for parental leave entitlements,
• Designated parent rooms, quiet spaces and childcare facilities on campus,
• Career support, training, mentoring & upskilling opportunities.

For more information on a range of lifestyle, financial and non-financial rewards and programs, please click here.

To see what the Science and Medicine at ANU community is like, we invite you to follow us on social media at Instagram and Facebook.

A Diverse and Inclusive Team

ANU is introducing measures to support the recruitment, inclusion and retention of employees with disability. To find out more, please click here.

The Australian Plant Phenomics Network team at ANU is exceptionally diverse, covering areas such as Plant Science, Engineering, Machine Learning, Business Administration, and Project Management. We welcome applications from people of all backgrounds and identities. We value non-linear career paths and relevant life experiences you can bring to the role.

For more information about the position, please contact Dr Richard Poiré on T: +61 2 6125 3652 E: richard.poire@anu.edu.au

To Apply

To be considered for this position, please upload the following documents:

• A current curriculum vitae (CV), and
• No more than a two-page summary addressing your suitability against the selection criteria.

The committee will consider candidates that do not meet one or more aspects of the selection criteria.

If shortlisted, candidates will be asked to complete a:

• 30 minute interview using behavioural interview questions

If you require adjustments to participate in any of the above assessments, please contact our HR team at E: hr.cosm@anu.edu.au or T: +61 2 6125 6147. Any adjustment request or the disclosure of disability will not be communicated to the selection committee without the candidates consent and it will not having any bearing on hiring decisions.

For examples of common reasonable adjustments, please click here.

Please note: the successful applicant must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.