Research Fellow - Centre for Big Data Research in Health

• Employment Type: Part - time (21 hours a week)
• Duration: Fixed-term until 30^th November 2026
• Remuneration: $123k - $145k base (+ 17% Super, leave loading)
• Location: Kensington, Sydney.  

Why this role matters 

The Research Fellow will work on an MRFF-funded research project in the Centre for Big Data Research in Health focused on development of methods and software to populate clinical registries from electronic medical records. The Research Fellow will design and execute research studies applying machine learning and natural language processing methods to electronic medical record data, develop software to implement these methods, and effectively communicate research findings through scientific papers, reports, visualisations and presentations.

Who you are: 

• A PhD in data science or computer science.
• Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of desire and ability to achieve research excellence as well as the capacity for research leadership.
• Strong understanding of theory and methods relating to the design of research studies using large-scale observational health and medical data and of methods for the analysis of these data.
• Demonstrated experience in the management and analysis of large complex health datasets and the analysis of these data using advanced machine learning and natural language processing techniques.
• Demonstrated experience in developing software applications to implement machine learning and natural language processing techniques.
• 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 and programming languages.
• Demonstrated ability to conceptualise novel research questions in areas relevant to health services or clinical research using real-world data and to develop these into research outputs.
• Evidence of highly developed interpersonal and communication skills and ability to network effectively and interact with a diverse range of students and staff.
• Evidence of highly developed organisational skills and demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.

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 cover letter briefly addressing the criteria listed in the position description. A copy of the Position Description can be found on JOBS@UNSW.

Contact

Merita O'Connell, Talent Acquisition

E:  merita.oconnell@unsw.edu.au

Applications close:  25^th September 2024 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.