Research Associate or Research Fellow Bioinformatics

Current staff
Perth
1 month ago
Applications closed

Related Jobs

View all jobs

Assistant or Associate Professor (Research and Education) in Government and Artificial Intelligence - School of Government - 101723 - Grade 8 or 9

Applied AI ML Associate - Machine Learning Scientist – Machine Learning for Technology

Machine Learning Research Engineer (28/05/2025)...

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning

Data Scientist (KTP Associate)

Data/Artificial Intelligence Engineer (KTP Associate)

UWA Medical School

Harry Perkins Institute of Medical Research

  • This role offers an exciting opportunity to be part of a multidisciplinary team to analyse poor prognosis cancers using cutting edge spatial profiling.
  • Fulltime appointment on a twoyear fixed term basis
  • Base salary range: Level A $80520 $108362; Level B $p.a. plus 17 superannuation
  • Based at QEII Medical Centre

About the team

The Forrest Group is a cuttingedge research lab specializing in advanced transcriptome techniques including singlecell and spatial transcriptomics. Our multidisciplinary team of molecular cellular and computational biologists collaborates to unravel complex biological questions in both genomics and cancer research.We are leading the Western Australian Cancer Single Cell initiative which is using singlecell singlenuclei and spatial transcriptomic profiling to characterize hundreds of tumour samples kindly donated by patients around Perth. We are seeking a talented and motivated Bioinformatics Postdoctoral Researcher to join our dynamic team. The Systems Biology and Genomics lab has a strong focus on analysis of genomewide datasets to better understand how tumours work as a cellular ecosystem.

About the opportunity

You will under minimal supervision perform computational processing and analysis of sequencing datasets maintain and develop bioinformatics pipelines interpret results and contribute to manuscript writing. The primary focus will be on analysing singlecell and spatial transcriptomics datasets (e.g. Vizgen Xenium VisumHD) with potential opportunities to work on other datasets such as HiC and bulk RNAseq.

You should be highly selfdriven with a strong passion for applying computational methods to understand the tumour ecosystem and its interacting cells. Attention to detail and a curiosity to ask questions and design experiments to answer them are essential.

About you

  • PhD in Bioinformatics Computational Biology Data Science Computer Science or a related field.
  • Strong programming skills with proficiency in Python R or other relevant languages.
  • Experience with bioinformatics tools and libraries for genomics analysis (e.g. Seurat Scanpy CellRanger Nextflow Singularity Docker).
  • Expertise in machine learning techniques and deep learning frameworks (e.g. TensorFlow PyTorch scikitlearn).
  • Demonstrated commitment in participating in high quality research evidenced by peerreviewed journal articles published in respected scholarly journals.
  • Demonstrated ability to supervise students and research assistants.

Position description:POSITION DESCRIPTION Research Associate (Bioinformatics) 519593 Level A.pdforPOSITION DESCRIPTION Research Fellow (Bioinformatics) Level B 519593.pdf

To learn more about this opportunity please contact Professor Alistair Forrest at

How to apply

The content of your Resume and Cover Letter should demonstrate how you meet the selection criteria.

Closing date: 11:55 PM AWST on Sunday 20 April 2025

This position is open to international applicants

Learn more about us.

Our commitment to inclusion and diversity

UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all including Aboriginal and Torres Strait Islander people women those from culturally and linguistically diverse backgrounds the LGBTIQA community and people living with disability.

If you require any reasonable adjustments we encourage you to advise us at the time of application. Alternatively you can contact us for assistance during the recruitment process.

If you have queries relating to your application please contact the individual named in the advertisement. Alternatively please contact the Talent team atwith details of your query. To enable a quick response please include the 6digit job reference number.


Required Experience:

IC


Key Skills
Bioinformatics,Genetics,R,Biochemistry,Cell Biology,Research Experience,Statistical Software,Cell Culture,Molecular Biology,Data Analysis Skills,Flow Cytometry,Microscopy
Employment Type :Full-Time
Experience:years
Vacancy:1

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.