Senior Research Officer

Senior Research Officer

The University of Queensland - Institute for Molecular Bioscience

Brisbane, Australia

INSTITUTE FOR MOLECULAR BIOSCIENCE

The University of Queensland’s Institute for Molecular Bioscience (IMB) is a leading global life sciences research institute committed to improving quality of life through research. IMB was established in 2000 as UQ’s first research institute and is the cornerstone of one of the largest bioscience research precincts in Australia.

The Institute is home to more than 450 researchers, postgraduate students and support staff from more than 40 countries who work in partnership with their academic, industry and clinical colleagues around the world to advance knowledge in areas including pain, rare diseases, inflammation, superbug infection, cardiovascular disease, environmental research, drug discovery and development, cancer, diabetes and obesity, and reproductive health. Our mission is to drive the bioeconomy and create better health; our vision is to be a life sciences institute with global impact.

By investigating how we grow and develop at the genetic, molecular, cellular and organ levels, IMB researchers can better understand the development processes and pathways involved in human and animal health and disease. The institute also has the technical capacity to translate its new knowledge into drugs, diagnostics and technologies to more effectively prevent, detect and treat disease; and pursue opportunities in a range of biotechnology applications for health, industry and the environment.

IMB’s research outcomes are protected and commercialised by UQ-owned technology transfer group UniQuest.

Details of the research interests of the Institute may be accessed on the Institute’s website at: http://www.imb.uq.edu.au.

The Program in Complex Trait Genomics (http://cnsgenomics.com) is a joint initiative between the Institute for Molecular Bioscience (IMB) and the Queensland Brain Institute (QBI). Physically located in IMB, the broad research focus is towards a better understanding of complex traits and disorders, including psychiatric and neurological disorders. A key research strength is the development of underpinning computational and statistical analysis methods. The Program is led by an Executive comprising Prof Peter Visscher, Prof Naomi Wray and Prof Jian Yang who were awarded a five-year Program Grant by the Australian National Health and Medical Research Council, commencing in 2017. In addition, Peter Visscher was awarded a five-year Australian Research Council Laureate Fellowship in 2018 to enhance capacity in human complex trait genetics and genomics.

Visscher, Wray and Yang and their colleagues are internationally recognised for pioneering the use of multi-marker statistical methods in human genetics and for innovative methods in the analysis of genetic and genomic data of complex traits. Their research is regularly published in top journals such as Nature, Science, Nature Genetics, Nature Communications, Genome Research, American Journal of Human Genetics, PLoS Genetics and Molecular Psychiatry.

Research in the Program covers four major themes: Statistical Genomics, Systems Genomics, Psychiatric Genomics and Motor Neuron Disease Genomics. The Program consists of over 20 postdoctoral research staff as well as PhD students, research assistants and visiting academics. Current research involves; the development of novel statistical genetics methodology and software; analysis of genotype, expression and methylation array data alongside DNA and RNA sequencing data; application of statistical genetic methods to infer the genetic control of traits and diseases.

The role: There are multiple roles available.

The purpose of the role is to develop and lead an outstanding independent research team in the area of statistical genetics, quantitative genetics, bioinformatics, computer programming, statistics or other relevant area.

In addition, the successful applicants will develop the necessary skills to lead a research group through team management, program management and research governance including funding.

The person: The successful applicants will hold a PhD in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics, econometrics or other relevant area with a proven record of research and innovation.

In addition, they will have a high-quality research agenda in one of the areas listed above which aligns with and supports the Institute’s research goals and hold evidence of an outstanding contribution to research. This evidence may be successful external grant applications and publications in high ranking referred journals.

Moreover an established record of teaching in one of the areas above, supported by undergraduate teaching experience and/or research student supervisory experience is expected.

The University of Queensland values diversity and inclusion and actively encourages applications from those who bring diversity to the University. Please refer to the University’s Diversity and Inclusion webpage (https://staff.uq.edu.au/information-and-services/human-resources/diversity) for further information and points of contact if you require additional support.

This role is a full-time position; however flexible working arrangements may be negotiated.

Accessibility requirements and/or adjustments can be directed to the contact person listed in the job advertisement.

Remuneration: This is a full-time, fixed-term Level C appointment. The remuneration package will be in the range AUD$115,132 – $132,754 p.a., plus employer superannuation contributions of up to 17% (total package will be in the range AUD$134,704 – $155,322 p.a.).

Enquiries: To discuss this role please contact Anjali Henders on a.henders@imb.uq.edu.au. To submit an application for this role, go to http://jobs.uq.edu.au/caw/en/job/505384/senior-research-officer and use the Apply button. All applicants must supply the following document: Resume.

Applications close: 14 December 2018

Job no: 505384

Please apply via recruiter’s website.

Quote Reference: 505384

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