The Position

Research Software Engineer position available for the project “Analytics for the Australian Grains Industry” (AAGI) within the Research School of Finance, Actuarial Studies and Statistics at the ANU College of Business and Economics. The successful candidate will develop and maintain R packages in statistical design and modelling, while also providing analytical support to projects relevant to the Australian grains industry.

This position will be part of a partnership between ANU and the Strategic Partners (Curtin University, University of Queensland, and University of Adelaide) of the Analytics for the Australian Grains Industry (AAGI).

The Person

We are seeking graduates with experience in statistics, data science, software engineering, computer science, machine learning, bioinformatics, quantitative biology, or closely related fields. Candidates must demonstrate strong scientific programming and software engineering skills, including the ability to design, develop, and maintain robust R packages and research software. A demonstrated commitment to reproducible, maintainable, and transparent workflows is essential. Candidates should also provide evidence of experience applying data science, statistical modelling, machine learning, or bioinformatics methods within research or applied settings, ideally alongside the development of reliable and well-documented software tools that support these analyses.

The ideal candidate will have a background in statistics, data science, computer science, or a related discipline, with strong programming and software engineering skills, experience building maintainable and well-documented code, and a demonstrated commitment to reproducible and transparent workflows. Applications from candidates with diverse backgrounds and experiences are warmly encouraged.

To be considered to be appointed at ANU Officer 6, candidates should demonstrate the ability to develop and maintain R packages under guidance, including contributing to package development, documentation, and maintenance tasks.

To be considered to be appointed at ANU Officer 7, candidates should demonstrate the ability to independently develop and maintain R packages, including designing package structure, implementing functionality, and managing ongoing maintenance with minimal guidance.

The candidate should have working rights and be available to start by August 2026.

Desirable Requirements:

Experience in mixed models, experimental design, image analytics, machine learning, transcriptomics, or molecular phenotyping.
Experience in the biological or agricultural sciences.

For more information about the position please contact Dr Emi Tanaka on E:Emi.Tanaka@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.

Please note: The successful candidate 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.

CLOSING DATE: 5 May 2026 11:55 pm (Canberra time)

Research Software Engineer (ANU Officer 6/7 (Specialist))

Australian National University

Canberra ACT 2601, Australia