Research Fellow

**Job no**: 529608
**Work type**: Full Time
**Location**: Sydney, NSW
**Categories**: Senior Research Associate

**Research Fellow (National Perinatal Epidemiology and Statistics Unit)**
- **Employment Type**:Full - time (35 hours a week)
- **Duration**:2 Year Fixed Term contract
- **Remuneration**: $123k - $145k base (+ 17% Super, leave loading)
- **Working rights**: Full working rights for the duration of the contract will be required
- **Location**:Kensington, Sydney.

**Our Organisation**

The Centre for Big Data Research in Health is Australia’s first research centre dedicated to health research using big data. Our research is collaborative, involving codesign and coproduction methods with consumers, communities and health care providers. Together, we aim to facilitate long term translation and implementation into health policy, service and programs. We are privileged to have many enthusiastic partners including government agencies, health organisations from the public, private and not-for-profit sectors, research funders, clinicians, health consumers and community members**.**

**Why this role matters**

This position is expected to carry out independent and/or team-based epidemiological and statistical research using large health datasets. The Research fellow will provide support across projects within the National Perinatal Epidemiology and Statistics Unit (NPESU) in the Centre for Big Data Research in Health.

**Some key skills required**:

- A 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 outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
- Strong understanding of theory and methods relating to the design of epidemiological studies and the statistical analysis of population and linked health data.
- Demonstrated experience in the management and analysis of large complex linked data.
- Experience in causal inference, such as target trial emulation using big data in health will be highly advantageous.
- Demonstrated ability to maintain the strictest confidentiality when dealing with sensitive data and an understanding of ethical principles relating to privacy and confidentiality.
- Highly developed data analysis skills and experience in the use of several statistical packages.
- Please refer to the position description for full details._

**UNSW Benefits and Culture**:
UNSW offer a competitive salary and access to a plethora of UNSW-perks including:

- 17% Superannuation and leave loading
- Flexible working
- Additional 3 days of leave over the Christmas Period
- Access to lifelong learning and career development
- Progressive HR practices

More information on the great staff benefits and culture can be found here.

**How to apply**:
**Contact (role related questions only)**

Dr Wentao Li, Centre for Big Data Research in Health

**Applications close**:6th January 2025 before 11.30pm

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.

Position Description

**Advertised**: 09 Dec 2024 AUS Eastern Daylight Time
**Applications close**: 06 Jan 2025 AUS Eastern Daylight Time