Biometrician, Primary Industries

Queensland Government; Toowoomba Regional; Sur place; AUD 90 000 - 115 000; Plein temps

Résumé du poste

Queensland Government is seeking a Biometrician in Toowoomba, Australia, to lead statistical analyses of agricultural and biological research data using R, ASReml-R or Genstat, and to design experiments for scientific inference.

You will collaborate with field crop researchers, develop data pipelines, and communicate results to stakeholders. A Degree in Statistics/Mathematics/Data Science and a C-class driver’s licence are required.

Qualifications

• Degree in Statistics, Mathematics or Data Science (or equivalent) is essential.
• Current C-class driver's licence is essential.

Responsabilités

• Undertake statistical analysis and interpretation of agricultural and biological research data.
• Design research experiments and apply principles of statistics to scientific inference.
• Research or extend statistical methodologies to solve applied problems.
• Develop and maintain knowledge in data management, predictive modelling, data mining and visualisation.
• Collaborate with field crop researchers to provide statistical support across trials and datasets.
• Report results clearly to colleagues and project stakeholders.

Connaissances

Statistical analysis

Data manipulation

R

ASReml-R

Genstat

Experimental design

Statistical methodologies

Data visualization

Formation

Degree in Statistics

Degree in Mathematics

Data Science degree

Outils

R

ASReml-R

Genstat

Description du poste

Biometrician, Primary Industries Toowoomba, Australia

The Opportunity

As our Biometrician, you will:

• Undertake statistical analysis and interpretation of agricultural and biological research data using a major statistical package such as R, ASReml-R or GENSTAT.
• Undertake statistical design of research experiments and the application or extension of the principles of mathematical statistics to scientific inference within the agricultural and biological sciences.
• Research or extend statistical methodologies as required to solve applied problems arising in agricultural or biological research programs and associated biotechnologies.
• Develop and maintain knowledge and skills in best-practice data management, predictive modelling, data mining and visualisation.
• Contribute to the development and adoption of technology and researcher-facing applications that improve analytical efficiency, promote sound statistical practice and support consistent, high-quality research outcomes.
• Collaborate with field crop researchers to provide statistical and data science support across the design, analysis, interpretation and communication of research trials and related datasets.
• Maintain an active individual professional development program and contribute to the development of appropriate professional networks at the State and national level; foster the professional training and development of colleagues and scientific peers.
• Report results and communicate well with colleagues, scientific peers, clients and project stakeholders, both orally and in writing. Ensure the timely achievement of project goals and obligations, including the dissemination of results to clients.
• Develop and present technical workshop sessions to clients and other stakeholders in Departmental research programs.
• Work effectively with minimal supervision in multidisciplinary teams or independently as required; possession of good interpersonal skills.

Technical requirements of the role

• Knowledge of statistical and/or machine learning methodologies.
• Knowledge and expertise in statistical packages such as R, ASReml-R or Genstat to undertake statistical analysis and interpretation of data.
• Ability to manipulate large datasets, including experience in interrogating data from multi-stage data pipelines, along with devising and maintaining these pipelines.

What we are looking for (qualifications, registrations, experience)

There are some qualifications that we see as essential. You must possess a:

• A Degree in Statistics, Mathematics, Data Science, or in a field relevant to the position (e.g. bioinformatics, statistics) from a recognised tertiary institution or equivalent academic qualifications.
• A current ‘C' class drivers licence

Why work for us

Learn why our people choose DPI and more importantly why they stay.

• Work with passion and purpose
• Have a tangible impact, for today and tomorrow
• Enjoy interesting, diverse work
• Follow your path wherever it leads
• Get the flexibility and support you need to thrive
• Be part of our united DPI

Find purpose you feel, impact you see and a legacy you bring to life.

Join us and be a part of preserving Queensland's agricultural landscape.

Job Ad Reference: QLD/706822/26

Closing Date: Monday, 23 November 2026