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Research Fellow (National Perinatal Epidemiology and Statistics Unit - NPESU)

• Employment Type: Full - time (35 hours a week)
• Duration: Fixed Term contract until 30^th November 2026
• Remuneration: $141,305 base, plus 17% superannuation and leave loading  
• Location: Kensington, Sydney

Details of the role

The Research Fellow in health data science, will be a research-focused academic position working within the National Perinatal Epidemiology and Statistics Unit (NPESU), a unit of the Centre for Big Data Research in Health (CBDRH). This role will have the opportunity to contribute to nationally and internationally leading real-world evidence driven research in reproductive medicine. The Research Fellow will have the opportunity to lead statistical analyses of large-scale clinical registry and administrative datasets. 

Some key skills required:

• A PhD in health data science, and/or relevant work experience
• contribute to ongoing translational research program related to the application of statistical and machine learning methods in reproductive and perinatal medicine using both clinical quality registry data and large linked datasets
• engage with clinical and consumer stakeholders, project managers and web developers on the translation of the findings from this research program into practice and consumer facing tools
• pursue and develop a translational research program related to the evaluation of treatment modalities in fertility treatment using modern causal inference methods applied to real-world data
• proven commitment to proactively keeping up to date with research in health data science including the application of AI, machine learning and causal inference to healthcare and medicine, and in particular reproductive medicine
• proven track record with high impact publications within health data science, health services research, reproductive medicine, or other related field, as first author in the last 3 years.
• apply excellent research project management capabilities and provide timely and high-quality outputs within specified timeframes for contracted research projects.

Please refer to the position description for full details.

How to apply:

Please click on Apply now to apply online. Applications should not be sent to the contact listed below. Please provide a resume and a separate document addressing the skills and experience listed in the Position Description. A copy of the Position Description can be found on JOBS@UNSW.

Contact

For more information please contact Frank McHenry, Talent Acquisition Associate on Email: Frank.McHenry@unsw.edu.au

Applications close: Sunday 1st June 2025 before 11.55pm Sydney time

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.