Research Software Engineer Full-time

Research Software Engineer

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).

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

For more information about the position please contact Dr Emi Tanaka on Emi.Tanaka@anu.edu.au.

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

The ANU College of Business and Economics (CBE) seeks to advance knowledge through high quality teaching and research. We contribute to associated professions, industry and government by conducting world-class, long-term strategic research, and through the provision of a range of specialised undergraduate and postgraduate degree programs.

As a part of Australia's leading university, CBE provides an excellent educational experience for our students. Our global alumni network reaches the world's leading companies, policy agencies and universities.

We strongly believe that the way in which we operate is defined by our Values and Behaviours and encourage you to apply if you are looking for a workplace that encourages respect, collegiality and excellence.

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.