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ALLSTAT  May 2018

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Subject:

Job Vacancy: University of Technology Sydney - Bio-statistics

From:

Julie Small <[log in to unmask]>

Reply-To:

Julie Small <[log in to unmask]>

Date:

Tue, 22 May 2018 06:49:24 +0100

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Senior Lecturer / Associate Professor – Bio-statistics
Graduate School of Health

UTS has a bold vision to be a world-leading university of technology. We are a dynamic and innovative university in central Sydney, consistently ranked the top young university in Australia. With a culturally diverse campus life and extensive international exchange and research programs, UTS prepares graduates for the workplaces of today and tomorrow. 

The UTS Graduate School of Health (GSH) was established in 2011 with the discipline of Pharmacy. The disciplines of Clinical Psychology and Orthoptics were added in 2015 and the discipline of Physiotherapy in 2017. The new disciplines to the School are Genetic Counselling and Speech Pathology, both of which have a planned commencement date of 2019. The School specialises in high quality graduate-entry master’s degrees and high impact research, with research focus is in the area of Primary Health Care and Drug Discovery and Development.

About the role
We are seeking to appoint a Senior Lecturer or Associate Professor with expertise in Bio-statistical / Epidemiological theory and practice to provide statistical support to the Graduate School of Health researchers, and our research and coursework postgraduate students. You will be on hand to provide advice on statistical aspects of clinical research, and statistical advice and guidance on data management for developing grant applications.

You will deliver workshops on statistical methods to research staff and students and contribute to the development of a statistical/bio statistical consultation service that will provide support across the School.

About you
Your strong abilities to build relationships and positive rapport with a range of stakeholders will be key to this role as will your ability to convey statistical concepts to people with limited statistical knowledge.

You will also bring:
•	A PhD in biostatistics, mathematics/statistics 
•	Knowledge of bio-statistical/Epidemiological theory and practice; Demonstrated expert knowledge in the area of medical biostatistics in relation to clinical and health services research including analysis of clinical trials and longitudinal datasets
•	Excellent working knowledge of SAS, SPSS, R+ and Stata software
•	Working knowledge of regulatory requirements for clinical trials and medical research
•	Experience in contributing to research and  grant applications and a track record of publication of peer-reviewed scientific articles.

For the full list of the selection criteria and role responsibilities please download the position statement from the UTS website: https://www.uts.edu.au/staff/jobs-uts/working-uts

Remuneration & Benefits

This position is part-time  (0.5FTE) and appointment will be made on a continuing basis.

Base Salary Range: 
Senior Lecturer (Level C): pro rata $123,991 - $138, 453 /  Associate Professor (Level D): pro rata $149,355 - $159, 049

This role attracts 17% superannuation in addition to the base salary. 

Our commitment to work/life support includes benefits such as flexible work practices, child care centres, generous parental leave and support to carers.

How To Apply

Prior to commencing your application for IRC110973, please review the Position Statement and the relevant selection criteria.  You are required to address the following selection criteria in your submission in a separate document:
1.	Knowledge of bio-statistical/Epidemiological theory and practice; Demonstrated expert knowledge in the area of medical biostatistics in relation to clinical and health services research including analysis of clinical trials and longitudinal datasets
2.	Excellent working knowledge of SAS, SPSS, R+ and Stata software
3.	Working knowledge of regulatory requirements for clinical trials and medical research
4.	Demonstrated ability convey statistical concepts to people with limited statistical knowledge 
5.	Experience in contributing to research and  grant applications and a track record of publication of peer-reviewed scientific articles.

  
Please note that only those applications submitted via the UTS online recruitment system will be accepted.  Current UTS employees should apply through their UTS Employee Self Service function.

As you will be unable to save your application once started, please have all required documents and information available prior to commencing. 

Please ensure that the file name for each document submitted includes IRC110973 

Specific enquiries or issues with your application may be directed to the UTS Recruitment Team at [log in to unmask] or on +61 (0) 2 9514 1080.

Closing Date:  12 June 2018 at 11.59pm (AEST)

Applicants must have current and unlimited work rights in Australia. 

Please note: We are only accepting on-line applications for this post, however, if you have a disability that makes it difficult for you to provide us with information in this way, please contact the Recruitment Team for assistance. 

We are committed to diversity and social inclusion, evidenced by our WGEA Employer of Choice citation, Wingara Indigenous Employment Strategy and the UTS Access and Inclusion Plan. We welcome applications from women (particularly for senior and non-traditional roles), Indigenous Australians, people with disability, those who identify as LGBTIQ and applicants from culturally and linguistically diverse backgrounds.

You may leave the list at any time by sending the command

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