Senior Lecturer in Computational Immunology (Teaching & Research)

This position is based in Australia and requires full rights to work in Australia; visa sponsorship is not available.

About the role

The Senior Lecturer (Level C) will conduct high-quality research focused on the application of computer sciences to immunology (e.g., protein folding, antigen discovery, antibody design, structure-guided vaccinology, or systems immunology data analysis) and make a significant contribution to educational excellence in the School of Biomedical Sciences and Faculty of Medicine and Health.

This role offers the opportunity to shape and advance immunology research and education within a leading academic environment. You will drive an independent, high-impact research program, build national research recognition, and contribute meaningfully to the supervision and development of higher degree research students.

Alongside research leadership, you will play a key role in delivering inspiring, evidence-based teaching across undergraduate and postgraduate programs, with a focus on immunology in the context of infection and disease. Working collaboratively across disciplines, you will help strengthen research networks, attract competitive funding, and contribute to innovative curriculum design that enhances student learning, employability, and academic excellence.

The role reports to the Head of Department (nominally Pathology) and has no direct reports.

Responsibilities

• Conduct high-quality research in computational immunology, with a focus on areas such as protein folding, antigen discovery, antibody design, structure-guided vaccinology, or systems immunology data analysis.
• Drive an independent, high-impact research program and build national research recognition.
• Supervise and develop higher degree research students.
• Deliver inspiring, evidence-based teaching in immunology, with a focus on infection and disease, across undergraduate and postgraduate programs.
• Collaborate across disciplines to strengthen research networks and attract competitive funding.
• Contribute to innovative curriculum design that enhances student learning, employability, and academic excellence.

Requirements

• PhD in Computer Science and/or Immunology or a related discipline, and/or relevant work experience.
• Demonstrated track record in computational sciences research with outcomes of high quality and high impact, including evidence of research excellence and leadership.
• Proven commitment to staying updated with developments in immunology, infection, and/or disease models or closely allied subjects.
• Experience in obtaining research income from nationally competitive research grants (and/or research fellowships) and research end-users as a member or leader.
• Experience in successfully recruiting and supervising high-caliber higher degree research students.
• Well-defined teaching philosophy and a critically reflective teaching practice that inspires student learning in immunology or allied subjects.
• Demonstrated experience in teaching and learning design using a range of pedagogical approaches, development and delivery of courses and programs at undergraduate and/or postgraduate levels.
• Ability to work in a team, collaborate across disciplines, and build effective relationships.

Pay

Remuneration: $155,403–$178,290 base salary per annum, plus 17% superannuation and leave loading.

Schedule

Full-time (35 hours per week), fixed-term contract until 31 December 2030.

Benefits

• 17% superannuation and leave loading.
• Flexible working arrangements.
• Additional 3 days of leave over the Christmas period.
• Access to lifelong learning and career development opportunities.
• Progressive HR practices.

Location

Kensington, Sydney, Australia.

About the School

As one of the largest teaching and research-intensive schools at UNSW, the School of Biomedical Sciences inspires the next generation of science and medical graduates while leading in the discovery and development of tomorrow’s diagnostics, treatments, and cures.

The school plays a key role in educating future medical practitioners, biomedical scientists, and a broader community of health professionals. It holds strong cross-faculty connections with biotechnology, chemistry, maths, physics, and engineering, fostering a naturally synergistic and innovative environment through collaboration with academic staff and key partners in the clinical or biotech space.