- Lead the technical development of the VariantSpark platform and clinical pathology applications
- Use your cloud-based, high-performance computing & machine learning expertise to bring IT solutions to human health applications
- Flexible work arrangements! Mix of home and office
Many of CSIRO's innovations were once considered impossible. Fast WiFi, Aerogard insect repellent and the plastic Australian banknote, to name a few. Until someone, just like you, joined us and took on the challenge. We’re recruiting inventors, innovators and change makers. Join Team CSIRO and help make the impossible possible.
CSIRO's AEHRC (The Australian e-Health Research Centre) is the leading national research facility applying information and communication technology to improve health services and clinical treatment for Australians. AEHRC is a world-wide unique trailblazer of advanced digital solutions and covers the full spectrum from basic science to mobile technologies and digital healthcare services that are applied in clinical practice.
The Solutions Architect Genomic Machine Learning will work with scientists from the high-performing Transformational Bioinformatics Team to develop novel digital services that join genomics and medical information to empower clinicians. The role will lead the technical development of the VariantSpark platform, as well as clinical pathology applications. Envisioned as a point-of-care solution, the technology needs to build on the latest in cloud services and cloud computing technology to deliver speed and accuracy on unprecedented data volumes. You will use your software engineering expertise and demonstrated knowledge in cloud-based distributed or high-performance computing as well as machine learning skills to help us bring advanced IT solutions to human health applications.
This position is advertised across two competency levels and the successful candidate will be appointed at the level commensurate with their skills and experience. More detail around the difference between the two levels is outlined in the position description.
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