Solutions Architect Genomics Machine Learning
CSIRO
- Sydney, NSW
- Permanent
- Full-time
- 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
- In collaboration with scientists, design and implement innovative cloud architecture to carry out impactful research and cater for the challenges in the health and life science domain (fast turn-around-time and large volumes of data).
- Implement ML solutions to biological research questions; Explore novel ML methodological approaches to research questions.
- Be knowledgeable about cloud services across multiple vendors (specifically AWS, Azure, GCP).
- Prepare appropriate documentation through repositories (e.g. bitbucket), project boards (e.g. trello), online communities (e.g. gist) and contribute to reports, scientific papers, blog-posts and videos.
- Develop novel ML algorithms, tailored for genomic problems.
- Stay on top of newly released cloud services across multiple vendors (specifically AWS, Azure, GCP) and take ownership in applying them effectively to the scientific applications developed by the team.
- Identify market-gaps and lead development of tailored solutions to commercial impact and be involved in grant applications.
- Applications are invited across two capability levels (CSOF4 & CSOF5) detailed in the position description for each of the levels and the successful candidate will be appointed at the level that commensurate with their skills and experience.
- A bachelor's degree (or will shortly satisfy the requirements of a bachelor's degree) or equivalent relevant work experience in a relevant discipline area, such as Information Technology, Bioinformatics, Electrical Engineering, Data Science.
- Evidence of experience with cloud-based distributed or high-performance computing (e.g. EMR, HDInsight, Dataproc) as well as more than one language relevant for cloud services (e.g. Python, NodeJS, Scala, BASH).
- Proven impact from developing web services on more than one cloud vendor (e.g. AWS, GCP, Azure).
- Experience and passion for designing and implementing machine learning solutions (SVM, RF, DeepLearning) and deep knowledge of statistics.