Research Assistant in Statistics
Institute for Molecular Bioscience, The University of Queensland
IMB is a global leader in multidisciplinary life sciences research, bringing together 500 researchers from across the globe for disease discovery, application and sustainable futures.
Formed in 2000 as an initiative of The University of Queensland, State and Federal Governments and private philanthropy, IMB is one of the largest life sciences institutes in the Asia-Pacific region. It has capitalised on one of the greatest periods of discovery in history – the genetic and molecular basis of life and its diversity.
Our research is framed through six research centres focusing on superbug infection, pain, heart disease, inflammation, solar biotechnology and the interplay of genomics and disease. We also undertake research in cancer, brain injury and disease, the environment and agricultural solutions.
Institute scientists use a range of model systems and facilities to advance their research in chemistry and structural biology, genomics of development and disease, and in cell biology and molecular medicine.
IMB’s combination of life, pharmacological and chemical researchers means that the Institute can take life science discoveries from genome to drug design and application – for health, disease and for the sustainability of our cities, fuels and foods.
IMB is proud of its strong reputation as a generator of new knowledge. With 66 patents and 11 spin-outs to our name, UQ’s IMB has a strong record of economic development, impact and innovation through partnership.
We actively pursue equity and diversity in the workplace, and are proud participants in UQ’s efforts for accreditation in the Athena SWAN program.
The appointee(s) will be required to support researchers on a wide range of research projects. The nature of the research in the Program is analysis of large scale genome-wide data sets (millions of genetic markers on up to half a million people) of DNA variants, DNA methylation or gene expression data. The applications of the research in the Program are to understand and interpret the nature of variation of complex genetic traits (e.g.height as a model trait) and diseases (e.g., psychiatric disorders, neurological disorders). The appointee with conduct analyses of large scale data sets under supervision of a postdoctoral researcher.
The successful candidate(s) will have graduate or postgraduate qualifications in a relevant field (statistical genetics, quantitiative genetics, bioinformatics, computer programming, statistics or other relevant area), as well as knowledge / experience of the principless of genetics and genomics, and computing skills including scripting language and programming. Experience in the analysis of large-scale genetic data and a past track record in genetics related research demonstrating ability to both work within teams and independently to successfully complete research projects is also desirable.
The University of Queensland values diversity and inclusion.
Applications are particularly encouraged from Aboriginal and Torres Strait Islander peoples. For further information please contact our Australian Indigenous Employment Coordinator at: firstname.lastname@example.org
Applications are also encouraged from women.
This role is a full-time position; however flexible working arrangements may be negotiated.
This is a full-time, fixed term appointment at HEW Level 5 or 6 (dependent upon qualifications and experience). The remuneration package will be in the range HEW 5: $64597.80 - $72,348.94 p.a. HEW 6: $ 74,207.07- $ 79,964.50, plus employer superannuation contributions of up to 17%.
This role is a full-time, however flexible working arrangements may be negotiated, depending on circumstance.
To discuss this role please contact Prof Naomi Wray on +61 7 3346 6374 or email@example.com
To submit an application for this role, use the Apply button below. All applicants must supply the following documents: Cover letter, Resume and Selection Criteria responses.
For information on completing the application process click here.
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