Research Fellow/Senior Research Fellow in Biostatistics

  • One of Asia-Pacific’s leading research-intensive Universities
  • Strong regional and global engagement
  • Cutting edge facilities and equipment
  • Location Sydney NSW Australia

UNSW Medicine is a national leader in learning, teaching and research, with close affiliations to a number of Australia’s finest hospitals, research institutes and health care organisations. With a strong presence at UNSW Kensington campus, the faculty have staff and students in teaching hospitals in Sydney as well as regional and rural areas of NSW including Albury/Wodonga, Wagga Wagga, Coffs Harbour and Port Macquarie.

The Centre for Big Data Research in Health (CBDRH) aims to improve the health of the population through research using large-scale electronic data that integrates information about biology, clinical care, health services and the social and physical environments The CBDRH is in a rapid growth phase at present. There are currently around 21 academic staff, 11 professional staff members and 13 HDR students.

The National Perinatal Epidemiology and Statistics Unit (NPESU) is joint unit of the Centre for Big Data Research in Health (CBDRH) and the School of Women’s and Children’s Health within the Faculty of Medicine. The NPESU is a leading national research unit that conducts epidemiological, health services and health economics in reproductive medicine, pregnancy, childbirth and the neonatal period. The Unit is data custodian for the Australian and New Zealand Assisted Reproduction Database (ANZARD) which is a registry of all ART cycles performed in Australia and New Zealand, and the Australian and New Zealand Neonatal Network (ANZNN) which is the regional registry for high-risk infants admitted to neonatal intensive care units.

The Research Fellow/Senior Research Fellow will be responsible for producing high quality research (individually and collaboratively) as part of the NPESU. They will foster excellence in epidemiological research, supervise and mentor junior researchers, and continue to develop their scholarly research in perinatal and/or reproductive medicine. They will develop strong national and international collaborations and generate external funding to support their research program, as well as enhance the profile of the NPESU, the CBDRH and the SWCH. The Research Fellow/Senior Research Fellow will also contribute to the teaching programs in the Centre for Big Data Research and the School of Women and Children’s Health.

The role of Research Fellow/Senior Research Fellow reports to Associate Professor Georgina Chambers and has no direct reports. 

About the role

  • Level B $103k - $122k plus (9.5% superannuation and leave loading)
  • Level C $125k - $144k plus (9.5% superannuation and leave loading)
  • 36 Months
  • Full-time (part-time appointments maybe considered)

RESPONSIBILITIES

Specific responsibilities for this role include:

Level B

  • Conduct and coordinate tasks relating to research projects to the highest scientific and ethical standards.
  • Critically appraise current epidemiological and statistics methods and conduct systematic literature reviews.
  • Independently design and undertake research projects using population and linked datasets.
  • Undertake data management and data analysis, including application of advanced statistical techniques to large, complex data sets
  • Supervise research and/or data analysis performed by other team members.
  • Independently develop strategies to ensure effective and efficient research management.
  • Prepare ethics applications and ongoing reporting to the relevant ethics committees.
  • Prepare research grant proposals, tenders for commissioned research, scientific papers, protocols and conference abstracts.
  • Convene and attend meetings associated with research projects or work of the organisational unit at departmental and/or faculty meetings and/or relevant committees.
  • Contribute to the ongoing development and delivery of the teaching programs in the Centre for Big Data Research and the School of Women and Children’s Health.
  • Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

Level C (in addition to the above)

  • Ensure that all aspects of research projects are conducted according to the highest scientific and ethical standards.
  • Play a major role in all aspects of research projects including management and/or leadership of a research team and contributing to a vibrant research culture within the CBDRH.
  • Lead the development of research grant proposals and tenders for commissioned research, scientific papers, protocols and conference abstracts.
  • Establish and build high quality relationships with researchers, government, industry, and community organisations
  • Supervise Honours and postgraduate research students, within the area of research expertise.
  • Actively seek new opportunities for collaboration to expand the research program within the Centre for Big Data Research in Health and School of Women’s and Children’s Health.

SELECTION CRITERIA

Level B

  • Postgraduate degree in biostatistics, epidemiology, public health, computer science, psychology or a related discipline, or undergraduate degree with relevant research experience.
  • Strong understanding of theory and methods relating to the design of epidemiological studies and the statistical analysis of health-related data.
  • Highly developed data analysis skills and experience in use of several statistical packages.
  • Demonstrated ability to conceptualise novel research questions in areas relevant to public health or health services research, and to develop these into research outputs, particularly in the field of perinatal and/or reproductive health.
  • High level written and oral communication skills, with the ability to work both independently as well as in a team environment.
  • Evidence of an increasing trajectory of research excellence and productivity.
  • University teaching experience would be advantageous
  • Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Level C (in addition to the above)

  • PhD in biostatistics, epidemiology, public health, computer science, psychology or a related discipline, or an equivalent substantial record of independent research.
  • Demonstrated experience in the management and advanced analysis of large complex health datasets and the statistical analysis of linked, longitudinal health data.
  • Demonstrated experience in leading high-quality research, demonstrated by first author publications in refereed journals, track record of obtaining competitive or contract research funding and evidence of successful supervision of research staff and students
  • Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

PRE EMPLOYMENT CHECKS REQUIRED FOR THIS POSITION 

  • Verification of qualifications 

You should systematically address the selection criteria in your application.

All candidates who wish to apply for the role must apply online.

Contact:

Associate Professor Georgina Chambers

E: g.chambers@unsw.edu.au

T+61 (0)2 9385 9154 

Applications close: 11.59 pm 2 September 2018

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