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Research Associate/ Research Fellow in Biostatistics - Job 28376

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You will provide intellectual input into the methods developed as part of an ARC Linkage Project with St Andrew’s Medical Institute. The position will focus on developing and implementing statistical methods for improved monitoring and review of cardiac, orthopedic and neurological practice.

Position Title:

Research Associate/ Research Fellow in Biostatistics

Vacancy Reference No: 28376
Closing Date: 20 October 2008
Department / Division:

School of Mathematical Sciences

Campus: Gardens Point
Classification/Salary Range:

$46 079 to $62 523 pa (Level A) (full time equivalent)
$65 815 to $78 163 pa (Level B) (full time equivalent)

Plus Superannuation: 17% employer contribution
Status: Fixed-term for 2 years (job share will be considered)
Contact Name and Title:

Kerrie Mengersen
(07) 3138 2063 or k.mengersen@qut.edu.au

HR Contact and Title:

Natalie Aston, Senior HR Advisor
(07) 3138 4175 or n.aston@qut.edu.au

Open to: Australian or New Zealand citizens, Australian permanent residents or temporary visa holder for the duration of the fixed term appointment.

Appointment will be made at Research Associate or Research Fellow depending on qualifications and experience of the successful applicant. Applicants should nominate the level for which they are applying and address the selection criteria for the nominated level.

BACKGROUND INFORMATION

There is an increasing focus on monitoring and review of medical outcomes and practice within hospitals. The statistical methods underpinning this monitoring depend critically on the type of outcome, available sources of data and intended decisions. This ARC Linkage project aims to develop and implement improved methods for monitoring, modelling and prediction of medical outcomes. Of particular interest will be the integrated use of diverse data sources, Bayesian risk-stratification and multivariate decision-making. In collaboration with the industry partner, St Andrew’s Medical Institute, focus will be on cardiovascular disease management, orthopedic surgery and neurological risk analysis.

The methods developed in this project will be targeted at defining and measuring processes to minimise deviation from ideal care pathways. Currently these pathways exist to guide “best-practice” clinical intervention based on clinical evidence-based practice. These new methods will aim to use multiple information sources to integrate other measures of holistic care in ‘patient-based’ practice, in accordance with the Industry Partner’s mission.

A concomitant project aim is to establish a Biostatistics Research Clinic within the St Andrew’s Medical Institute, which will provide support, communication, training and collaborative research potential to the wider Institute community.

Organisational Relationships

The appointee will report to Professor Kerrie Mengersen, School of Mathematical Sciences. Although based at the University’s Gardens Point campus, it will be necessary for the appointee to work at the St Andrew’s War Memorial Hospital and other Brisbane-based locations from time to time to support the requirements of the research project.

General standard

An associate lecturer is expected to make contributions to the teaching effort of the University, particularly at undergraduate and graduate diploma level and to carry out activities to develop his/her scholarly, research and/or professional expertise relevant to the profession or discipline.

DUTY STATEMENT – RESEARCH ASSOCIATE

SELECTION CRITERIA – RESEARCH ASSOCIATE

Essential:

  1. Completion of a postgraduate qualification (high level Honours, Masters or PhD) in statistics or closely related discipline.
  2. Demonstrated skills in statistical computing, programming and the use of statistical software.
  3. Demonstrated ability to provide biostatistical support to research projects.
  4. Demonstrated ability to work collaboratively in research teams, as well as independently with minimal supervision when required.
  5. Well developed written communication skills with a demonstrated ability to prepare material for scholarly and other publications.
  6. Well developed oral and interpersonal communication skills with a demonstrated ability to liaise with industry partners and present research findings to internal and external audiences.
  7. Experience in assisting with the supervision of staff.

Desirable:

  1. Experience in the development and/or implementation of control charts and related process monitoring tools.
  2. Knowledge of Bayesian statistics.
  3. Interest in medical research.

DUTY STATEMENT – RESEARCH FELLOW

Duties include:

SELECTION CRITERIA – RESEARCH FELLOW

Essential:

  1. Completion of a PhD in statistics or a closely related discipline.
  2. Demonstrated high level skills in statistical computing, programming and the use of statistical software.
  3. Evidence of prior experience in successfully undertaking statistical consulting.
  4. Well developed oral and interpersonal communication skills with a demonstrated ability to liaise with industry partners and present research findings to internal and external audiences.
  5. Evidence of scientific outputs in the form of papers and conference presentations.
  6. Demonstrated ability to work collaboratively in research teams, as well as independently with minimal supervision when required.
  7. Experience in the supervision of staff in achieving work goals.
  8. Demonstrated interest in medical research.

Desirable:

  1. Experience in the development and/or implementation of control charts and related process monitoring tools.
  2. Knowledge of Bayesian statistics.

HOW TO APPLY

Please provide:

Forward your application to jobapplications@qut.edu.au quoting vacancy ref no. 28376 by 20 October 2008.

Prior to submitting your application please review information regarding immigration requirements, workplace health and safety, equal employment opportunity, non-smoking policy and relocation available at
http://www.hrd.qut.edu.au/jobs/information.jsp.

After the closing date, you can check the status of the recruitment process. QUT is an equal opportunity employer and employer of choice for women.

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