Job no: 530280
Work type: Full Time
Location: Sydney, NSW
Categories: Research Administration support, Analyst, Clinical/Medical Research
Employment Type: Full Time, 35 hours per week
Duration: 12 months fixed term
Remuneration: Level 6 ($100 k - $107 K- based on experience) + 17% Super + Annual Leave Loading
Location: Kensington, Sydney NSW

SKILLS AND EXPERIENCE:

• A university degree in computer science, software engineering, machine learning or Natural Language Processing (NLP).
• Minimum 12 months full time experience with GPT4 Large Language Model (LLM) prompt engineering and natural language processing.
• Demonstrated experience in collecting, evaluating, interpreting, and synthesising textual health-related data from large language models.
• Minimum 12 months full time experience working with infectious diseases surveillance systems or open-source infectious diseases data. Experience with EPIWATCH® desirable.
• Experience in agile development, daily sprints and use of Git.
• Experience working with a range of computer systems and applications, including word processing, presentations (PowerPoint), online interfaces (application and submission forms etc.), graphical display and spreadsheets (Excel).
• Demonstrated superior interpersonal communication skills to initiate and maintain effective stakeholder relationships whilst exercising discretion and confidentiality.
• Excellent time management skills, with a demonstrated ability to respond to changing priorities, manage multiple tasks and meet competing deadlines by using judgement and initiative.
• Excellent written and verbal communication skills, with a high level of attention to detail and the ability to liaise effectively with a range of stakeholders.
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
• Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training.

The Research Officer (EPIWATCH Analyst) will assist in Natural Language Processing, prompt engineering and evaluation of output from infectious diseases-related large language models for automation within EPIWATCH®, an early warning system for epidemics. This will involve iterative improvement of prompts given to the large-language models (e.g. GPT-4) based on systematic evaluation of output run on articles collected by EPIWATCH®. Areas of evaluation will include named entity recognition, relational extraction, and summarisation.
This position is within the Biosecurity Program and reports to Professor Raina MacIntyre. This position has no direct reports.