Employer: CSIRO
Closing date: 12 May 2024, 11:00pm AEST
Brief position description:
Acknowledgement of Country
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The opportunity
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.
Your duties will include:
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.
Higher level duties:
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.
Location: Sydney NSW preferred; Open to other major cities like Melbourne and Brisbane
Salary: *AU$93k - AU$119k plus up to 15.4% superannuation
Tenure: Specified term of 3 years / Full-time
Reference: 95944
* 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.
To be considered you will need:
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.
For appointment at the higher competence and salary level, additional skills and experience is required, as outlined in the position description.
Eligibility
Applications for this position are open to Australian/New Zealand Citizens and Australian Permanent Residents only. Appointment to this role is subject to provision of a national police check and may be subject to other security/medical/character requirements.
Flexible working arrangements
We work flexibly at CSIRO, offering a range of options for how, when and where you work.
Diversity and inclusion
We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish.
About CSIRO
At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact.
CSIRO is committed to values-based leadership to inspire performance and unlock the potential of our people.
Join us and start creating tomorrow today!
How to apply
Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.
Applications close
12 May 2024, 11:00pm AEST.
Job website: Solutions Architect Genomics Machine Learning (csiro.au)
Contact name: Shree Chattopodhyay
Contact email: careers.online@csiro.au
