CSIRO invites applications for a PhD qualified Statistical Geneticist or Bioinformatician to join the Digital Genome Engineering Team in 2020.
The ideal candidate has practical experience in statistical genetics as well as advanced programming abilities. Together they aim to improve clinical genomics by revolutionizing the variant annotation and prioritization field.
You will join the high-performing Transformational Bioinformatics Group from the Australian e-Health Research Centre (AEHRC) and collaborate closely with Australian genomics initiatives in Queensland, Victoria and NSW, the Global Alliance for Genomics and Health as well as Australian and International companies operating in the genomic testing space.
The Australian e-health research centre (AEHRC) is CSIRO’s digital health research unit delivering innovation to the health system. It is the largest eHealth research group in Australia with 100 research scientists working with clinicians and industry to identify the clinical and/or health challenges. AEHRC is worldwide unique in covering the full value chain from basic science through to clinical application and assessing their impacts on Australian and international health systems.
- Carry out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes.
- Develop innovate concepts, theories, tools and techniques related to statistical genetics and variant prioritisation.
- Undertake regular reviews of relevant literature and patents.
- Produce high quality scientific and/or engineering papers suitable for publication in quality journals, for client reports and granting of patents.
Worth of Award
Salary is AU$83k- AU$94k plus up to 15.4% superannuation
- A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Bioinformatics or Statistical Genetics.
Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of postdoctoral research experience.
- Practical experience with statistical genetics applications in humans, such as GWAS, or eQTL
- Evidence of advanced data analytics and programming capabilities in more than one language relevant for bioinformatics (e.g. Python, Java, C++, Scala, BASH, R, Julia).
- The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry out autonomous research.
- High level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences.
- A sound history of publication in peer-reviewed journals and/or authorship of scientific papers, reports, grant applications or patents, please provide impact criterion on your papers (IF, or number of citations)
- A record of science innovation and creativity, including the ability & willingness to incorporate novel ideas and approaches into scientific investigations.
The successful applicant may be required to obtain and provide a National Police Check or equivalent or if the successful candidate is not an Australian Citizen or Permanent Resident, they may be required to undergo additional security clearances and tests as part of their visa application.
How to Apply
To apply online, please provide a CV and cover letter addressing the selection criteria.
Deadline: Applications Close Friday July 10, 2020 at 11 pm AEDT.