Professor of Biostatistics and Director, Centre for Health and Social Analytics (CHSA)

Ref: 4347

University of Wollongong

Wollongong

Apply Now

Role Managed by:

Cora Hui

Research Associate

t: +852 3703 9324

e: Cora.Hui@perrettlaver.com

Primary Practice Group: Higher Education and Research

Salary & Benefits: Competitive

Closing Date: 03/11/2019

Professor of Biostatistics and Director, Centre for Health and Social Analytics (CHSA)

  • Permanent/Continuing full-time appointment

NIASRA is a high-performing research institute in the School of Mathematics and Applied Statistics (SMAS) at the University of Wollongong. It currently contains the Centre for Bioinformatics and Biometry (which focusses on agriculture, forestry and other sustainable primary industries), the Centre for Environmental Informatics, the Centre for Sample Survey Methodology, and the Statistical Consulting Centre.


NIASRA will have a fundamental and primary role in the University’s strategic transformative priority in developing data science, data analytics and decision analysis at UOW, with a focus on translation and impact. In the near future a new Centre for Health and Social Analytics (CHSA) is planned within NIASRA, a major initiative in the development of health, social and medical statistics that aims to effectively exploit large and complex databases to improve the analytic capacity that underpins significant improvement in the health and wellbeing of people and communities. 

As part of its further development of statistical science, the University is seeking to appoint a Professor of Biostatistics and Director, Centre for Health and Social Analytics.

The Professor of Biostatistics will play a key leadership role in establishing, developing and leading the Centre for Health and Social Analytics (CHSA). The appointee should have interest, expertise and experience in multiple areas and be willing to expand their research skills and activities into key new areas. Current relevant methodologies include analysis of large and complex social, health and geographical databases, data analytics and data-intensive research, decision-support methods, longitudinal and other surveys, multilevel modelling and spatial modelling, and combining and analysing data from different data sets.

As a staff member in SMAS, this position will contribute to the development of the Statistics curriculum and the programme of training and professional education. The position will undertake some undergraduate and post-graduate teaching and HDR supervision in Statistics.

Apply

For further information and initial enquiries please contact Cora Hui in the Sydney office of Perrett Laver at cora.hui@perrettlaver.com or on +61 2 8354 4013.

To apply please visit the Perrett Laver website at candidates.perrettlaver.com/vacancies/ and upload your curriculum vitae and support covering letter, quoting reference number 4347, before Sunday 3 November 2019.

Protecting your personal data is of the utmost importance to Perrett Laver and we take this responsibility very seriously. Any information obtained by our trading divisions is held and processed in accordance with the relevant data protection legislation. The data you provide us with is securely stored on our computerised database and transferred to our clients for the purposes of presenting you as a candidate and/or considering your suitability for a role you have registered interest in.

As defined under the General Data Protection Regulation (GDPR) Perrett Laver is a Data Controller and a Data Processor, and our legal basis for processing your personal data is ‘Legitimate Interests’.  You have the right to object to us processing your data in this way. For more information about this, your rights, and our approach to Data Protection and Privacy, please visit our website http://www.perrettlaver.com/information/privacy

The University of Wollongong is committed to equality, diversity and inclusion. As an equal opportunity employer, we celebrate diversity and inclusion, and believe gender equality is fundamental to achieving our goal of being in the top 1%. The University seeks to increase the representation of women in the disciplines of science, technology, engineering, mathematics and medicine (STEMM) to address gender imbalance. As a recognised leader in gender equality, we offer professional development programs and promote a healthy work life balance.