Talent.com
Research Fellow (National Perinatal Epidemiology and Statistics Unit)

Research Fellow (National Perinatal Epidemiology and Statistics Unit)

UNSWCouncil of the City of Sydney, New South Wales, Australia
6 days ago
Job description

Research Fellow (National Perinatal Epidemiology and Statistics Unit)

Join UNSW in the National Perinatal Epidemiology and Statistics Unit (NPESU) as a Research Fellow. The role is a 2‑year fixed‑term, full‑time (35 hours a week) position based in Kensington, NSW. Salary ranges from $127k to $150k base plus 17% superannuation and leave loading. Visa sponsorship is not available; candidates must hold full rights to work in Australia.

Unit Overview

The NPESU is part of the Centre for Big Data Research in Health and is strategically partnered with the School of Clinical Medicine (Women’s Health) at UNSW. The unit operates at the intersection of clinical and public health research, leveraging large‑scale complex health data to advance perinatal epidemiology.

Key Responsibilities

  • Conduct independent and / or team‑based epidemiological and statistical research using large health datasets.
  • Support project activities within the NPESU, contributing to study design, data management and analysis.
  • Apply advanced statistical methods to population and linked health data, including prediction modelling and causal inference.
  • Collaborate with interdisciplinary teams to generate high‑impact research outputs.
  • Maintain strict confidentiality and adhere to ethical standards regarding sensitive data.

Qualifications and Experience

  • PhD in biostatistics, epidemiology or applied statistics, or a postgraduate qualification in one of these fields plus relevant research experience.
  • Demonstrated track record in epidemiological research with high‑quality, high‑impact outcomes and a commitment to research excellence.
  • Strong understanding of study design and statistical analysis of population and linked health data.
  • Experience in managing and analysing large, complex linked data sets.
  • Advanced data analysis skills and proficiency with multiple statistical software packages.
  • Knowledge of prediction modelling and / or causal inference methods is highly advantageous.
  • Ability to maintain confidentiality and apply ethical principles related to privacy and data protection.

    • Benefits and Culture

  • Flexible working arrangements.
  • Additional 3 days of leave over the Christmas period.
  • Access to lifelong learning and career development opportunities.
  • Progressive HR practices and a supportive workplace culture.

    • Application Details

    Please click on Apply now to submit your application online. Include a resume and a cover letter addressed to the main skills and experience outlined above. Do not send applications to the contact listed below; the position will be overseen by this email reference only.

    Applications close : Monday 24th November before 11 : 30 pm Sydney time.

    Contact : Dr Wentao Li, email : wt.li@unsw.edu.au

    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 offers flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

    #J-18808-Ljbffr

    Create a job alert for this search

    Research Fellow • Council of the City of Sydney, New South Wales, Australia