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computational biology Expertise with R, Python, or equivalent programming languages is essential. Passion for making biological discoveries relevant to crop improvement. Strong analytical skills, creativity, and
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10 December at 11.00pm AEST (Job Reference Number: R-57843). Please note that applications will be reviewed in early-January 2026 and interviews held in mid-January 2026.
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python, git, SQL, R. Demonstrated Healthcare data domain knowledge, in particular data engineering with Electronic Medical Record, OMOP and MIMIC databases Demonstrated expert knowledge and experience in
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results. High levels of personal integrity, transparency and capability. Experience in computer coding for data analysis and visualisation (e.g. R, Python) is desirable The successful candidate may be
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(R-58503).
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panel considers both potential and performance relative to opportunities when assessing suitability for the role. Applications close January 23 2026 at 11.00pm AEST (R-58208). Please note that interviews
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2025 at 11.00pm AEST (Job Reference Number: R-56973).
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phone or urban mobility data. Advanced expertise in GIS and statistical tools or packages, such as R, ArcGIS Pro, QGIS, or STATA. Strong written and verbal communication skills. A developing track record of
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for the role. Applications close Sunday 23 November 2025 at 11.00pm AEST (R-58237). Please note that interviews have been tentatively scheduled for Monday 1 December.
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, R, Python, STATA). Experience managing and analysing large, complex datasets. Strong communication skills to translate complex methodologies for diverse audiences. A collaborative mindset and ability