Postdoctoral Fellow in Microbial Bioinformatics (https://www.sahmri.com/human-resources/careers/33) SAHMRI93
FTC – Full-time Contract
SAHMRI North Terrace
Applications close Sunday 17, April 2016
World-class health and medical research facility in Adelaide, South Australia Very competitive remuneration package including access to excellent salary packaging, relocation support where necessary and other benefits Full time, 2 year initial contract with potential for renewal Purpose of the Position
The Infection and Immunity Theme at the South Australian Health and Medical Research Institute (SAHMRI) is now seeking applications for a Postdoctoral Fellow in Computational Biology/Bioinformatics with a demonstrated track record in Microbial Ecology/Metagenomics evidenced by significant publications in international peer-reviewed journals.
Experience in at least some of the following areas would also be an asset: Using statistical approaches such as machine learning to relate high-throughput genomics/metagenomics data to clinical phenotypes; analysis of proteomics, metabolomics, or next generation sequencing data (including whole genome sequencing, RNAseq, ChIPSeq).
The successful candidate will work in close collaboration with both computational biologists and wet-lab scientists involved in a range of clinical and health-related projects – a broad knowledge of immunology/microbiology/microbial ecology would therefore be an advantage.
SAHMRI: is a new $250 million state-of-the-art medical research facility with excellent core facilities and services, including a high-performance computing cluster. SAHMRI is located in the new $3 billion biomedical precinct in the Adelaide central business district, close to all the amenities of the city. Adelaide boasts a Mediterranean climate, beautiful beaches and is within an hour’s drive of world-class wine regions including the Barossa Valley.
Implement and develop efficient pipelines for the analysis of a wide range genome-wide data and where necessary develop new custom bioinformatics methods and/or pipelines for projects in the theme. Implement machine learning based approaches to identify novel associations between genome or metagenome-wide data, host immune responses and disease. Provide collaborative support to others in the theme with bioinformatics components of their projects. Lead the writing of publications relating to the projects. Assist in the smooth running of projects and the wider group Qualifications
PhD in computational biology, bioinformatics, microbial ecology, statistics or other relevant discipline Postdoctoral experience in computational biology/bioinformatics, microbial ecology or metagenomics. Essential Experience, Knowledge and Skills
Advanced programming skills in several of the following: Java, Python, C++, Perl, R. Prior experience working in a high performance computing environment. Must be highly collaborative, be a strong team player and be able to manage multiple ongoing projects. Demonstrated problem solving and communication skills. Track record of relevant publications. To obtain a copy of the position description please click HERE .
For more information, please contact Associate Prof. David Lynn, EMBL Australia Group Leader via email firstname.lastname@example.org or Associate Prof. Geraint Rogers, Director, Microbiome Research via email@example.com