Teaching and Research Fellow/Senior Research Fellow, 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 role

The position is a Teaching and Research Position.  The Teaching component for this position is less than that of a typical Teaching and Research Academic but is still a crucial component.  The appointee will be the course coordinator for a new semester-long course, "Statistics in Genetics" and will cover topics such as Best Linear Unbiased Prediction, REML, association mapping. The appointee will be able to choose the focus of the research component of role but will be based either at IMB or QAAFI. 

The person

Applicants should possess a PhD in statistical genetics, quantitative genetics, bioinformatics, computer programming, statistics or other relevant areas. Evidence of research productivity, including publications, conference presentations and external grant applications is essential.  Applicants should also have knowledge of the principles of genetics and genomics and linear model methodology.  Computing skills, including in scripting language and programming is required.  Applicants should also have self-reliance, motivation, and an ability to work collaboratively with colleagues. 

The University of Queensland values diversity and inclusion.  Applications are particularly encouraged from Aboriginal and Torres Strait Islander peoples.  This role is a full-time position; however flexible working arrangements may be negotiated.

Remuneration

This is a full-time, fixed term appointment for up to 3 years at Academic Research Level B or C. The remuneration package will be in the range $92,142 – $109,419 p.a. (Academic Research Level ) or $112,874 – $130,150 p.a. (Academic Research Level C), plus employer superannuation contributions of up to 17% (total package will be in the range $115996 - $128,020 p.a. (Academic Research Level B) or $132,062 - $152,275 p.a. (Academic Research Level C)). The level of appointment will be commensurate with the successful appointee's qualifications and experience and in line with the UQ Criteria for Academic Performance

Position Description

  Position Description_500042_3036822.pdf

Applications close: 22 February 2017

Enquiries

To discuss this role please contact Professor Naomi Wray on naomi.wray@uq.edu.au  

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.

Reference: 500042