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Research Assistant

Apply now Job no: 495556
Work type: Fixed term / Full time
Location: Sydney, NSW
Categories: Research Administration support

 Research Assistant

Ref 495556

  • 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 School of Public Health and Community Medicine (SPHCM) is internationally recognised as a leader in Public Health with particular research strengths in Epidemiology and Infectious Diseases, Health Services Management, Global Health, Indigenous Health and Primary Health Care. The School has a core focus to investigate and provide new knowledge to help inform policy, governance, organisation, work and leadership in the health sector through cross disciplinary research with both academia and industry. The School also has strong associations with research centres and institutes throughout UNSW Medicine.

The Research Assistant will be responsible for assisting the Director of the General Practice Unit in the data analytic and health informatics components of the project: “Data quality assessment and harmonisation of the ePBRN data model with the Observational Medical Outcomes Partnership - Common Data Model (OMOP-CDM)” from the development, implementation to completion stages. The role of Research Assistant reports to the Professor of General Practice, and has no direct reports. 

About the role

  • $72-$82k p.a. plus (9.5% superannuation and leave loading)
  • 12 months Fixed Term position with possibility of renewal
  • Full-time


Specific responsibilities for this role include:

• Contribute to the development, implementation and maintenance of software tools and frameworks in the ePBRN,

• Development and application of protocols to assess and manage the quality of data, including the linked data, from the relevant data repositories to meet the requirements and specifications of the data model harmonisation, natural language processing and data analytics research projects (hereafter called “data model and analytics projects”);

• Assessment of the strengths and weaknesses for use of the Observational Health Data Sciences and Informatics (OHDSI), including possible adaptations, to achieve the automation of the “data model and analytics projects”;

• Coordinate and contribute to the development of a protocol to validate the data models using selected use cases from the OHDSI library of projects and tools;

• Assessment of the strengths and weaknesses for use of the Extraction, Transform, Load (ETL) tools, including possible adaptations, to achieve the automation of these tools within the ePBRN research program;

• Assemble developed pipelines, tools and methodologies within a transparent data quality framework for sharing and dissemination of the “data model and analytics project”;

• Contribute to the development of a blueprint for a training and support program to disseminate this health informatics work to the wider community;

• 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.

Selection Criteria:

• Tertiary qualifications in Computer Science, Health Informatics, Health Information Technology, Information Systems or Health Information Management;

• Demonstrated understanding of data modelling, database management and research methods;

• Experience and/or skills in scripting such as C++, Python, R and SQL (Postgres and SQL Server);

• Experience and/or skills in development of web applications;

• Experience and/or skills in maintenance of information systems;

• Experience and/or skills in the use of statistical tools such as SAS and SPSS, semantic web technologies and data-driven solutions

• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training and knowledge of equal opportunity principles.

You should systematically address the selection criteria in your application.

You may be required to undergo pre-employment checks prior to appointment to this role.

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



Professor Teng Liaw


P: 0407 818 281


Applications close:   11:00pm 20th January 2019

Find out more about working at UNSW at

UNSW is an equal opportunity employer committed to diversity


Position Description

Advertised: AUS Eastern Daylight Time
Applications close: AUS Eastern Daylight Time

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