Research Associate (Bioinformatics)University of Melbourne

Description

We are seeking a highly motivated discovery scientist with a Masters or PhD in bioinformatics, molecular biology, mathematics or statistics, experience in bioinformatics, and preferably skills in molecular genetic analyses including next generation sequencing and rare variant calling. The full-time position will be based equally across (i) Translational Neurogenetics Laboratory in the Epilepsy Research Centre, Melbourne Brain Centre (Austin Campus), University of Melbourne, and (ii) the Population Health and Immunity Division Laboratory at WEHI.

The successful candidate will complete a multidisciplinary project examining genetic contributions to rare genetic disorders using the latest genetics techniques and analysis approaches uniquely designed to leverage expertise across top genetics, bioinformatics and medical research departments or institutes.

In a typical week at work, you may:

·  Conduct gene discovery research into epilepsy, vascular and brain malformations

·  Analysis of data using next-generation sequencing analysis tools

·  Development and maintenance of data analysis pipelines

·  Data analysis of results using computer based statistical and graphics programs

·  Understanding and interpretation of techniques and results

·  Production of publications arising from scholarship and research

About You

You will have a record of achievement in research, evidenced by coursework or publications arising from PhD, Masters, Honours or other research positions. You will have well-developed interpersonal skills including demonstrated capacity to work as both a team member and independently, and excellence in written and oral communication and excellent organisational skills and the ability to undertake a range of tasks concurrently. You will have excellent communication skills and a demonstrated ability to present oral summaries of research to various audiences. You need to be comfortable with, and have the ability to work on data from human subjects.

Ideally, you will further have:

·  Masters or PhD in bioinformatics, computational or molecular biology, mathematics, statistics, computer science or a similar quantitative field

·  BSc or equivalent in biological sciences, biomedical sciences, mathematics, statistics, computer science or a similar quantitative field

·  Expertise in computer programming with R, Python, Perl, or similar, and post analysis interpretation skills, including generation of reports such as in R Markdown including experience or willingness to work on high performance supercomputing platforms

·  Training in analysis of next-generation sequencing and genetic data

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