Entries in bioinformatics


Postdoctoral position in systems biology and NGS informatics – Forrest lab, Western Australia

The Systems Biology and Genomics Lab (SBGL) headed by Professor Alistair Forrest, is a new lab at the newly built, Harry Perkins Institute of Medical Research, focused on mammalian systems biology. We are working on applying systems biology approaches to understand mammalian systems and how they break down in disease (cancer and genetic disorders). In particular we work on transcriptional regulatory networks and have pioneered methods for examining cell-to-cell communication networks.


We are seeking a PhD or equivalent in bioinformatics, computer science, biostatistics, molecular biology or a related field with an emphasis in the specific fields of bioinformatics, genomics and systems biology.


Professor Forrest has a strong track record in transcriptomics and is the scientific coordinator of the FANTOM5 project based at Yokohama Japan. This project involved a consortium of over 260 members from 20 countries and has resulted in landmark publications in Nature and Science, on Promoters, Enhancers and transcriptional dynamics as well as a set of more than 40 satellite papers over the past 2 years.


More details and application information is via the UWA entry here:


Any questions, please email [email protected]


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.