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Opportunity: Research Assistant -- Predictive Medicine @ NICTA -- Melbourne, Australia
Submitted by Rhiannon Moses; posted on Friday, June 21, 2013
NICTA is seeking to recruit a Research Assistant into its Health and Life Sciences team to contribute to our program in Predictive Medicine. Our team has strong and complementary expertise in diagnostic genomics, bioinformatics, text mining and biomedical informatics, and computational modeling and systems biology. Our Predictive Medicine program is working across these teams, and in collaboration with our clinical and life science partners, to bring an integrative focus to our research in cancer systems biology and personalized cancer care.

Future cancer care will involve design of personalized treatment strategies and therapeutic approaches. This will require derivation of a patient's personalized genomic profile, identification of critical mutations and corresponding cellular biochemical pathways using relevant biomedical literature, and integration of this knowledge with population data and clinical information. Many of the tools required to achieve this in a very short time window required for clinical decision making are in their infancy, and major developments are needed.

This is an exciting opportunity to help development of new technologies for healthcare, benefiting from the depth and diversity of life sciences expertise at the Parkville Precinct and NICTA's expertise in ICT.

* Ability to work with microarray data and sequencing data (RNA and DNA).
* Knowledge of genomic profiling technologies such as ChIP-SEQ, MeDIP, RNA-SEQ, DNA-SEQ.
* Proven ability to work with advanced statistical algorithms and software implementations for signal detection.
* Degree qualification in Bioinformatics, Systems Biology, Computational Genomics or related discipline.
* Excellent programming skills.
* Knowledge of programming languages R, Perl, Python, Matlab and C.
* Ability to work in a team.
* Dedication and good work ethics.

2 year contract

Melbourne, Australia

Please visit: [link]

Applications close 11 July 2013

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