Research Associate

1 of Australia's leading research & teaching universities. Vibrant campus life with a strong sense of community & inclusion. Enjoy a career that makes a difference by collaborating & learning from the best. This role is based in Australia. About the Role Salary: 113K – 121K plus 17% superannuation and annual leave loading Fixed Term – 10 months Part time (35 hours per week) Reports to Associate Professor Fatemeh Vafaee. No direct reports. Specific Responsibilities Contribute independently or as a team member in collaborative research with a focus to enhance the quality of research outcomes in the discipline area. Collaborate in multidisciplinary research at the intersection of biology, medicine, and computational science, ensuring effective teamwork and coordination of research outcomes with relevant stakeholders. Foster innovation in research by developing novel approaches and leading research initiatives, ensuring the consistent delivery of impactful results and advancements. Conduct research (as per the norms of the discipline) and/or enable research teams to create scholarly output that is recognised by peers. Undertake specific research projects under the guidance of a research leader and contribute to the development of research activities. Support the dissemination of research outcomes through appropriate channels and outlets. Undertake discipline‑appropriate research activities, e.g., literature reviews, data collection, development and validation of methodologies, analysis, and result generation, leading to high‑quality reporting and manuscript preparation. Participate in and/or present at conferences and workshops relevant to the project as required. Assist with the supervision of research students in the research area where required. Align with and actively demonstrate the code of conduct and values. Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure your actions or omissions do not impact the health and safety of yourself or others. Selection Criteria A PhD in Computer Science, Bioinformatics, or a related discipline, or equivalent relevant research or professional experience. Demonstrated experience in the analysis and interpretation of omics datasets, with strong expertise in artificial intelligence and machine learning methodologies. Proven experience in the analysis of single‑cell and multi‑omics data, with a solid understanding of underlying biological principles. Proficiency in the implementation and optimisation of modern AI models (e.g., BERT, GNN, VAE, GANs, GPT, LLMs). Hands‑on experience with NGS bioinformatics pipelines and associated analytical workflows. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Demonstrated ability to undertake high‑quality academic research and conduct independent research with limited supervision. Demonstrated track record of publications and conference presentations relative to the opportunity. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships. Evidence of highly developed interpersonal skills. Demonstrated ability to communicate and interact with a diverse range of stakeholders and students. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training. Contact Fatemeh Vafaee E: Applications close: December 8th, 2025 UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds. UNSW aims to ensure equality in recruitment, development, retention and promotion of staff and that no‑one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity or Indigenous heritage. We encourage everyone who meets the selection criteria to apply. UNSW partners with Australia’s leading diversity organisations, networks and campaigns. Please refer to UNSW’s diversity offerings for further information on our flexible work and leave options, and support for carers (childcare, parent rooms, parental leave). #J-18808-Ljbffr