Research Scientist – Bioinformatics Genome engineering - [Archived Advertisement]
Research Scientist – Bioinformatics Genome engineering
The Opportunity
- Contribute your expertise to innovative research in a dynamic team of dedicate professionals
- Take you career to the next level and really make a difference!
- Join CSIRO's high-performing Transformational Bioinformatics team
Your duties will include
We are seeking to appoint a highly motivated Research Scientist to undertake bioinformatics research relevant for medical and biosecurity applications. The successful candidate will contribute to multiple projects undertaken by the CSIRO and in collaboration with other high profile academic and commercial partners.
To be successful in this role you will be enthusiastic about making a hands-on contribution to improve genome editing through computational solutions and create new application cases in the health and biosecurity space. You will be working with clinical and commercial partners to create novel gene therapy applications and help keep Australia save using advanced cloud-computing and machine learning methodology.
This is a great opportunity for the successful candidate to work in a leading government organisation that is engaged in world class scientific research and offers excellent career development initiatives. CSIRO is strongly committed to Diversity and offers Flexible Working Arrangements.
Challenge yourself and find out how your research and ideas can enable Australia become the healthiest nation by 2030 and protect our unique biodiversity.
Location: North Ryde, NSW
Salary: AU $97K - AU $105K plus up to 15.4% superannuation
Tenure: Indefinite
Reference: 59269
To be successful you will need
•A doctorate and postdoctoral research experience (3-6 years) in a relevant discipline area, such as bioinformatics, computer science, information technology, or an equivalent field.
•Demonstrated knowledge and skills in bioinformatics application specifically high-throughput sequence data analysis and a deep understanding of the underlying genome editing field (e.g. CRISPR, Gene-drive, HDR-mediated nucleotide editing).
•Demonstrated experience with BigData Paradigms (e.g. Spark), cloud computing vendors (AWS, Alibaba cloud, Azure, GCP) and high-performance computing (e.g. PBS, SLURM).
•Evidence of advanced programming skills and software design in languages relevant for bioinformatics (e.g. Python, Java, C++, Scala, BASH, R) and demonstrated software engineering practices (use of repositories, deployment standards, terraform).
•Proven ability to work independently and as part of a team to prototype research ideas and develop them into demonstration and/or proof of concept systems. In addition, a demonstrated ability to interact with external/internal collaborators and stakeholders.
•Ability to investigate issues of complex and ill-defined problems and develop appropriate responses by adapting/creating and testing alternative solutions.
•A record of science innovation and creativity, plus the ability and willingness to incorporate novel ideas and approaches into scientific investigations.
Before applying, we encourage you to read the full position description for this role. This document can be viewed at:
Flexible Working Arrangements
We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Balance
About CSIRO
At CSIRO you can be part of helping to solve big, complex problems that make a real difference to our future. We spark off each other, learn from each other, trust each other and collaborate to achieve more than we could individually in a supportive, rewarding, inclusive and truly flexible environment.
Apply Online
To apply online, please provide a CV and cover letter outlining your suitability and motivation for the role.
Applications Close
Wednesday 12 December 2018
Job Summary
- Closing Date:
- 12 Dec 2018
- Location:
- NSW - North Ryde
- Salary:
- AU $97K - AU $105K plus up to 15.4% superannuation
- Work Type:
- Full Time
- Category:
-
Bioinformatics
Biomedical Sciences
Biosecurity/Quarantine
Computer Science/ICT
Data/Analysis
Engineering
Genomics
Government
Health/Health Sciences
Machine Learning/Artificial Intelligence
R&D