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UNSW

Postdoctoral Researcher (Computational Immunology and Translational AI)

UNSW, Boston, Massachusetts, us, 02298

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Postdoctoral Researcher (Computational Immunology and Translational AI)

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UNSW Postdoctoral Researcher (Computational Immunology and Translational AI) 2 days ago Be among the first 25 applicants Join to apply for the

Postdoctoral Researcher (Computational Immunology and Translational AI)

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UNSW This Job is based in Australia

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.

Postdoctoral Researcher (Computational Immunology and Translational AI)

Employment Type: Full - time (35 hours a week) Duration: 1-Year Fixed Term contract (with likely extension upon performance) Remuneration: $91k - $121k base (+17% super and leave loading) Location: Kensington, Sydney

The UNSW Sydney Systems Immunology and Artificial Intelligence Lab

seeks a highly motivated and skilled postdoctoral researcher to join our dynamic team. This role offers an exceptional opportunity to lead computational and bioinformatics analyses of immunogenomics data, contribute to cutting-edge research in precision medicine for autoimmunity, and participate in industry collaborations.

Project Focus

Develop computational tools for analyzing immunogenomics data in the context of gastrointestinal autoimmune diseases and Type 1 Diabetes. Lead the application of AI and machine learning to identify novel therapeutic targets and advance precision medicine approaches. Foster collaborations with national and international partners at Weill Cornell, Upenn, Houston Methodist, and various hospitals.

Skills And Experience Required

PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics, AI, and immune-genomics is highly desirable. A passion for immunology and a keen interest in translating research into clinical applications. Excellent problem-solving, communication, and teamwork skills. Initiative, leadership potential, and a willingness to tackle challenging projects.

What We Offer

Conduct research at the forefront of AI-driven precision medicine for autoimmunity. Gain valuable experience in industry collaborations and translational research. Potential to co-found a start-up focused on AI-powered drug discovery. Publish in high-impact journals and develop a strong research profile. Opportunity to learn and upskill in machine learning and translational immunology. Collaborative and supportive work environment at a world-class university.

UNSW Benefits And Culture

Full details can be found in the position description.

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.

Application Process

We encourage applications from enthusiastic and talented early-career researchers.

Please click on Apply now to apply online. Please send your CV and a cover letter outlining your research interests and experience. A copy of the Position Descriptions can be found on JOBS@UNSW.

Contact

Dr. Fabio Luciani, E: Luciani@unsw.edu.au

Additional Resources

Professor Fabio Luciani profile The Luciani Lab website Professor Luciani's LinkedIn profile

Applications close:

Sunday 24th August 2025 before 11.30pm Sydney time.

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.Seniority level

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