Graduate and Post-Doctotorate Opportunities - Defence Science and Technology Group

An appropriate PhD in computational biology and/or bioinformatics with experience in processing analysis and visualisation of large-scale biological datasets; programming skills in one or more of R, C/C++, python or perl and SQL and demonstrated skills of bio-python and or bio-perl.

Considerable network with national and international bioinformatics community.

Note: This position requires security clearance and Australian citizenship.

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Research Manager and Academic Convener (Computational Biology) – University of Melbourne

We have a vacancy for a full-time position performing two roles in computational biology research management at the University of Melbourne: 0.6 FTE Research Manager for the Centre for Systems Genomics and 0.4 as Academic Convener for the University’s Computational Biology Research Hallmark Initiative. This will be an academic specialist appointment, we are looking for someone with a good research track record and management/organising skills, who is looking for something different from the standard academic/research career paths. They will have a diverse portfolio of activities, involving a range of cutting-edge research projects.

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Bioinformatics post-doc in multi-omics

Papenfuss laboratory

The Walter and Eliza Hall Institute of Medical Research

Parkville, Australia 

An opportunity exists for a new postdoc with strong bioinformatics or computational biology skills, statistical expertise, and experience in metagenomics, RNA-seq or other omics platforms to join the Papenfuss Lab in the Bioinformatics Division at The Walter and Eliza Hall Institute of Medical Research (WEHI). The position is currently funded for up to 4 years.

The Papenfuss Lab works on a variety of exciting projects. The primary focus of this role will be metagenomics including microbiome 16S diversity analysis, metagenomic DNA-seq and RNA-seq, metabolomics and other -omics data collected from a unique cohort of mothers and infants with high risk of Type 1 diabetes.

The role involves performing a variety of analyses under supervision and working closely with other scientists and clinicians. The position will involve using the R programming environment and applying statistical tools like LIMMA and edgeR to metagenomic data. It will involve close collaboration with other members of the NHMRC Centre of Research Excellence (CRE) for the Protection of Pancreatic Beta Cells.

Successful applicants should have the following attributes:

• PhD in statistics, computer science, computational biology, bioinformatics, or a related field
• Familiarity with genome databases and statistical analysis methods
• Expertise with NGS data analysis
• Computational skills including the use of the R programming language
• Proficiency with the Linux/Unix Operating System
• Experience with high performance computer clusters
• Strong interest in metagenomics or RNA-seq

Strong Communication skills and the ability to work as part of a team are essential.

The position will be for two years in the first instance, but renewable subject to satisfactory performance. Salary is dependent upon qualifications and experience. Up to 17% superannuation and attractive salary packaging options are available.

General enquiries and applications consisting of a cover letter, CV and the names of 3 referees can be directed to Associate Professor Tony Papenfuss ([email protected]). The position will remain open until filled.