Data Analyst

The University of Sydney

DATA ANALYST - PERINATAL RESEARCH
SYDNEY MEDICAL SCHOOL – NORTHERN
PERINATAL MEDICINE
REFERENCE NO. 1628/0714

Research role in vibrant, growing team – Perinatal Research

Full-time and part-time flexibility

Fixed term 2 years, remuneration package: HEO7 $97K-$106K p.a. pro rata which includes leave loading and up to 17% super

The Sydney Medical School is part of the University's Faculties of Health, the largest and most comprehensive grouping of health and medical education and research in the Asia Pacific region. It conducts cutting-edge research and provides medical education and training in more than 100 associated teaching hospitals and research institutes and centres.

Perinatal Research within Sydney Medical School - Northern is part of the partnership between the University and the Royal North Shore Hospital. Our aim is to conduct practice- and policy-relevant epidemiological and perinatal research to improve maternal and infant outcomes. A major focus of interest is the use of population-based datasets and record linkage for epidemiological and perinatal research, and to develop research capacity in this field.

We are seeking enthusiastic and results-driven data analysts to join our research group and contribute to the development and implementation of research programs within the Clinical and Population Perinatal Health Research team. The positions will be located within a vibrant and growing team of senior academics, postdoctoral researchers and postgraduate students at the Royal North Shore Hospital campus at St Leonards, Sydney.

In this role you will:

contribute to the design, implementation, management and reporting of perinatal population health research projects

undertake quantitative analyses of population-based datasets, including linked population datasets, to address perinatal population health research and evaluation questions

contribute to the preparation of research publications and presentations, including peer-reviewed journal articles and plain english summaries for diverse audiences

contribute to the development of applications for grants or fellowships

participate in meetings, presentations and other events relevant to the work of perinatal research

administrative and research support

To succeed in this role you will have:

relevant tertiary qualifications; postgraduate training in statistics or epidemiology would be highly regarded

demonstrated skills and experience in epidemiology or health services research including designing, implementing and reporting results

skills in biostatistical analysis including multiple regression and logistic regression

experience in the preparation, management, manipulation and analysis of large, population based datasets or linked administrative datasets

extensive experience in writing program coding using SAS statistical software

excellent communications skills and demonstrated ability to build and maintain effective working relationships with researchers and collaborators.

This is an outstanding opportunity to work within a successful and growing team of academics, postdoctoral researchers and postgraduate students and to further enhance your research profile at a national and international level. The position is fixed term for 2 years with further offers possible dependent upon funding and need.

Please note, to be eligible to apply for this role you must have the right to work in Australia.

Specific enquiries regarding the role may be directed to Associate Professor Christine Roberts on +61 2 9462 9791 or via email: christine.roberts@sydney.edu.au.
General enquiries regarding the recruitment process may be directed to Dax Dowding +61 2 8627 1225.

We also have academic positions available as a Research Fellow, please click on the link for more information: (RESEARCH FELLOW - PERINATAL RESEARCH 1627-0714)

All applications must be submitted via the University of Sydney careers website. Visit sydney.edu.au/recruitment and search by the reference number for more information and to apply.

CLOSING DATE: 9 November 2014 (11pm Sydney time)