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Lecturer/Senior Lecturer in Systems Genomics - University of Melbourne

School of BioSciences, Faculty of Science, The University of Melbourne

Salary: AUD95,434 – AUD113,323 p.a. (Level B) or AUD116,901 – AUD134,792 p.a. (Level C), plus 17% superannuation. Level of appointment is subject to qualifications and experience.

The School of BioSciences is seeking to recruit an excellent researcher, with a commitment to teaching and other academic duties, in the area of systems genomics, defined broadly to include a range of computation/statistics-based research on any aspects of the processes leading from genotype to phenotype. The new post is associated with the appointment of Professor D. Balding, who is Professor of Statistical Genetics jointly in the Schools of BioSciences and of Mathematics & Statistics, and Director of the University's Centre for Systems Genomics. The successful applicant will be expected to join the Centre, which has an interdisciplinary focus on the application of maths/stats/computing techniques to genomic profiling data to help understand genotype-to-phenotype processes in humans and other organisms, including microbes and the host-microbe interaction, as well as the roles of other factors in the cellular, tissue and external environments.

The successful applicant will be expected to undertake research and student supervision in cutting-edge methods using large-scale datasets to help understand the functions of genomes, especially at a systems level. The successful applicant will have the opportunity to contribute to and benefit from the development of the Centre, have use of research data generated by collaborators, and have access to the Centre's computing resources and integrative profiling lab. Further wet-lab resources are available if required. The appointee will be expected to develop and deliver genomics and/or computational biology subjects for life sciences students, and possibly (depending on experience and qualifications) also to students in other disciplines.

Close date: 10 Aug 2016

For position information and to apply online go to, click on the relevant option (Current Staff or Prospective Staff), and search under the job title or job number 0039325.


Postdoctoral Research Fellow/ Research Fellow - The University of Queensland Diamantina Institute

An experienced bioinformatician or computational biologist is sought to contribute and drive data management, integration and modelling on a range of projects including lipid raft and miRNA biology. This position will work within the Cancer Proteomics Group under the leadership of Associate Professor Michelle Hill, with multi-disciplinary collaborations. Guidance on miRNA biology and systems analysis will be provided by collaborator Dr Alex Cristino.

Click here for further details...


PhD scholarship in Bioinformatics and Epigenetics - Southern Cross University

Southern Cross Plant Science is a Special Research Centre within Southern Cross University (SCU), and carries out research underpinning the selection, cultivation and utilization of plants. SCPS infrastructure includes facilities for plant growth, analytical chemistry, high-throughput DNA sequencing, genotyping, proteomics and bioinformatics.

We are looking for highly motivated PhD student to work in the project novel bioinformatic approaches to unravel the epigenetic basis of crop plasticity. Epigenetics refers to structural adaptation of chromosomal regions to register, signal or perpetuate altered activity states. DNA methylation (cytosine, as 5mC) provides epigenetic marks superimposed on eukaryote genomes. In plants, epigenetic marks and mechanisms include DNA methylation, histone modification and small non-coding RNA (snRNA) mediated pathways that contribute to changes in chromatin structure and stability, and so regulate gene expression. Dynamic epigenetic changes in response to endogenous and external stimuli play a definitive role in the plasticity of phenotype, thus enabling organisms to adapt to variable environmental conditions. Exploiting epigenetic variation is likely to have practical utility for improving agriculture, horticulture and forestry. However, there is still much to learn about the underlying molecular basis of epigenetic plasticity, especially for plants with complex genomes where the specific roles and potential for epigenetic processes may contribute to improved adaptation to environment via improved crop agronomy and breeding.

The PhD study will develop algorithms and software tools that enable testing of hypotheses associated with the dynamic relationships between patterns of DNA methylation, nucleosome positioning and DNA physiochemical properties. The study will make use of data generated from SCU genomic facilities and associated projects. SCPS has dedicated high-performance computing (HPC) facilities and bioinformatics infrastructure available within SCU, as well as national HPC facilities where SCU has privileged access.

The candidate must hold, a Master by Research Degree (or must be finishing a Master degree) or equivalent diploma, and must have an exceptional academic record. Experience in research is essential.

The base stipend will be at the rate of AU$27,000 per annum tax-free for three years. For further information please visit:

Please send your application by email to and cc'd to Applications should include a full CV including contact details of two referees + a covering letter. The covering letter must indicate under the following headings (max 200 words each): A. Motivation for carrying out postgraduate study; B. Why you chose Southern Cross University and Plant Science; C. Why you are interested in the specific Project; D. the background academic and/or technical expertise you bring to the project.

Click here for further details...


Research Statistician - CSL Limited (bio21 Institute, Melbourne)

Permanent full time position at CSL, Australia’s largest biotechnology company. Remuneration dependent upon skill set and experience.

The Company

Starting a century ago, CSL made a promise to save lives and protect the health of people stricken with a range of serious and chronic medical conditions. Today that same promise has never been stronger.

With operations in more than 30 nations and over 14,000 employees worldwide, we develop and deliver biotherapies to prevent and treat people with life-threatening medical conditions. Our broad-range of therapies include those to treat disorders such as haemophilia and primary immune deficiencies, and vaccines to prevent influenza.

We collaborate with patient and biomedical communities to improve access to therapies, advance scientific knowledge, and support future medical research. Our world-class commercial operation, combined with a large and focused R&D team and operational excellence, enable us to accurately identify, successfully develop, and dependably deliver innovations that patients and providers want.

The Opportunity

As a Research Statistician, you will be part of the team responsible for providing statistical oversight and input for Research and Product Development Departments globally, contributing to data analysis of completed experiments, providing statistical advice for contacts with regulatory agencies and overseeing statistical design to translate development strategies into plans that support product objectives.

The Role

As Research Statistician, it is your responsibility to:

  • Provide statistical expertise to support non-clinical R&D objectives
  • Oversee and provide guidance in statistical methodology for experimental design
  • Conduct analysis and generate reports and documentation in accordance with international guidelines
  • Ensure quality standards in data transfer for statistical analysis
  • Contribute statistical input for regulatory filings in relation to product approvals, on-market support, and for scientific publications
  • Conduct statistical training of R&D staff
  • Manage the non-clinical functions of statistics, including resources and project timelines, quality of statistical deliverables and compliance with regulations, work processes and procedures for pre-clinical statistics
  • Actively engage with external collaborators both commercial and academic to ensure that CSL R&D is current with methods and areas relevant to its business – e.g. methods for handling big data To be successful

We're looking for a self-motivated applicant who demonstrates the following qualifications and skills:

  • PhD in Statistics, Biostatistics, or equivalent – essential
  • Bachelors degree in Mathematics/Statistics or Applied Mathematics/Statistics - essential
  • Experience in pre-clinical statistical setting involving development, validation and analysis of biological assays/biomarkers, experimental design and analysis, and general statistical consulting - preferable
  • Solid understanding of statistical principles and methods applicable to pre-clinical research, e.g. experimental design and analysis, random sampling, validation and optimisation - preferable
  • Strong interpersonal and communication skills (verbal and written in English) bridging scientific and business needs
  • Ability to build partnerships and collaborative environments Excellent time management and multi-tasking skills
  • Strategic thinking with excellent problem solving and decision making skills Applications must address the selection criteria above and include a current CV and covering letter.

Applications close 5.00pm AEST on 1st August 2016.

Employment screening, including criminal history, medical assessment, confirmation of experience and stated qualifications, Australian working rights and other relevant checks form part of the candidate suitability evaluation process.

Click here for further details...


Bioinformatic Software Engineer - Kinghorn Centre for Clinical Genomics

This opportunity is for a talented and motivated Bioinformatics Software Engineer with a strong background in computer science, next-generation sequencing data analysis and a passion for learning about clinical genomics to join KCCG’s Production and Clinical Informatics team.

This position will involve:

  • Operation of production and clinical genome sequencing pipelines
  • Troubleshooting issues in a production sequencing environment
  • Proactively investigating and improving pipeline performance
  • Required Skills and Experience

Click here for further details...

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