Postdoctoral Researcher (Computational Immunology and Translational AI)
Postdoctoral Researcher (Computational Immunology and Translational AI)

Postdoctoral Researcher (Computational Immunology and Translational AI)

London Full-Time 60000 - 84000 £ / year (est.) No home office possible
U

At a Glance

  • Tasks: Lead computational analyses in immunogenomics and AI for autoimmune diseases.
  • Company: Join UNSW Sydney, a world-class university at the forefront of research.
  • Benefits: Enjoy flexible working, 17% superannuation, and additional leave during Christmas.
  • Why this job: Be part of cutting-edge research with potential for start-up opportunities and impactful publications.
  • Qualifications: PhD in Bioinformatics or related field; strong data analysis and teamwork skills required.
  • Other info: Encourages applications from diverse backgrounds and offers workplace adjustments.

The predicted salary is between 60000 - 84000 £ per year.

Postdoctoral Researcher (Computational Immunology and Translational AI)

Join to apply for the Postdoctoral Researcher (Computational Immunology and Translational AI) role at UNSW

Postdoctoral Researcher (Computational Immunology and Translational AI)

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Join to apply for the Postdoctoral Researcher (Computational Immunology and Translational AI) role at UNSW

This Job is based in Australia
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
Contact
Dr. Fabio Luciani, E:
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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    Internship

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Research

  • Industries

    Higher Education and Research Services

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Postdoctoral Researcher (Computational Immunology and Translational AI) employer: UNSW

UNSW Sydney is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation in the field of computational immunology and AI. With competitive remuneration, generous benefits including 17% superannuation, and opportunities for professional growth through industry collaborations and cutting-edge research, employees are empowered to make meaningful contributions to precision medicine. Located in the heart of Kensington, Sydney, UNSW provides a supportive environment that values diversity and inclusion, making it an ideal place for early-career researchers to thrive.
U

Contact Detail:

UNSW Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Postdoctoral Researcher (Computational Immunology and Translational AI)

✨Tip Number 1

Network with professionals in the field of computational immunology and AI. Attend relevant conferences or webinars where you can meet researchers and industry experts. This can help you gain insights into the latest trends and potentially lead to collaborations or job referrals.

✨Tip Number 2

Engage with the research community by following key figures and institutions on social media platforms like LinkedIn and Twitter. Share your thoughts on recent publications or advancements in immunogenomics and AI, which can showcase your passion and knowledge in the field.

✨Tip Number 3

Consider reaching out directly to current team members or alumni from the UNSW Systems Immunology and Artificial Intelligence Lab. Ask them about their experiences and any advice they might have for applicants. This can provide you with valuable insider information.

✨Tip Number 4

Stay updated on the latest research and developments in precision medicine and AI applications in immunology. Familiarise yourself with the specific projects and goals of the lab at UNSW, as this knowledge can help you tailor your discussions during interviews.

We think you need these skills to ace Postdoctoral Researcher (Computational Immunology and Translational AI)

PhD in Bioinformatics, Data Science, Immunology, or a related field
Strong expertise in data analysis and bioinformatics pipelines
Proficiency in statistical methods
Experience with single-cell multi-omics
Knowledge of AI and machine learning applications in immunogenomics
Ability to develop computational tools for data analysis
Passion for immunology and precision medicine
Excellent problem-solving skills
Strong communication skills
Teamwork and collaboration abilities
Leadership potential
Willingness to tackle challenging projects
Experience in translational research
Familiarity with gastrointestinal autoimmune diseases and Type 1 Diabetes

Some tips for your application 🫡

Tailor Your Cover Letter: Make sure to customise your cover letter for the Postdoctoral Researcher role. Highlight your relevant experience in computational immunology and AI, and express your passion for translating research into clinical applications.

Showcase Your Skills: In your CV, emphasise your expertise in bioinformatics, data analysis, and any experience with single-cell multi-omics or machine learning. Use specific examples to demonstrate how you've applied these skills in previous projects.

Research the Lab: Familiarise yourself with the Systems Immunology and Artificial Intelligence Lab at UNSW. Mention any specific projects or publications from the lab that resonate with your research interests in your application.

Follow Application Instructions: Ensure you include all required documents as specified in the job listing. This typically includes your CV and a cover letter. Double-check for any additional materials that may be requested, such as references or transcripts.

How to prepare for a job interview at UNSW

✨Showcase Your Research Passion

Make sure to express your enthusiasm for immunology and how it drives your research. Discuss specific projects or papers that inspired you, especially those related to computational immunology and AI.

✨Demonstrate Technical Expertise

Be prepared to discuss your experience with bioinformatics pipelines, data analysis, and statistical methods. Highlight any relevant projects where you've applied AI or machine learning in your research.

✨Prepare for Collaborative Questions

Since the role involves fostering collaborations, think about past experiences where you've worked in teams. Be ready to share examples of how you contributed to group projects and navigated challenges.

✨Ask Insightful Questions

Prepare thoughtful questions about the lab's current projects, future directions, and potential collaborations. This shows your genuine interest in the position and helps you assess if it's the right fit for you.

Postdoctoral Researcher (Computational Immunology and Translational AI)
UNSW

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U
  • Postdoctoral Researcher (Computational Immunology and Translational AI)

    London
    Full-Time
    60000 - 84000 £ / year (est.)

    Application deadline: 2027-08-11

  • U

    UNSW

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