Bioinformatician - Machine Learning/AI Specialist (Genomics WA)

Harry Perkins Institute of Medical Research Inc.

Nedlands, Perth, WA

Clinical/Medical Research (Healthcare and Medical)

Contract/Temp, Full time

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Genomics WA (GWA) is seeking an enthusiastic bioinformatician to lead the development and implementation of artificial intelligence (AI) and machine learning (ML) workflows in analyzing complex and noisy datasets to discover new biological insights. You’ll be pivotal in shaping our ML strategy and pushing the boundaries of genomic analyses. This position is offered on a full-time maximum-term contract for three (3) years, located at our state-of-the-art medical research facilities in Nedlands.

About this role

As a bioinformatician–machine learning/AI specialist, you’ll work within the Genomics WA Bioinformatics team to develop ML algorithms and applications for genomics datasets and support service delivery across clinical and research applications. This includes client engagement, analysis of spatial transcriptomics and other complex multimodal datasets, deep learning model development, and contribution to future bioinformatics infrastructure.

The key responsibilities of this role include:

Design, evaluate and deliver ML/AI-based bioinformatics analyses and pipelines

Analyse large-scale, multimodal genomics datasets

Support day to day operations of the Genomics Bioinformatics Team

Collaborate with researchers to develop tailored project plans and solutions

Train internal teams and deliver external education sessions in ML applications

Assist in planning GWA’s future bioinformatics and IT capability

Ensure compliance with NATA standards as part of our accredited facility

To be successful in this role, you’ll have:

Master’s or PhD in Bioinformatics, Machine Learning, Data Science or similar

Demonstrated experience developing and applying ML to biological or big data

Strong proficiency in Python, R, bash and Linux HPC environments

Familiarity with tools like Scikit-learn, TensorFlow and statistical modelling

Excellent communication and visualisation skills

A passion for scientific innovation and collaborative research

If you really want to stand out, tell us about your:

Experience in spatial transcriptomics or automated image recognition

GPU programming, HPC optimisation or full-stack development knowledge

Innovative ML solution to a complex problem

If this sounds like the right fit, we can offer you:

Flexible working options

A supportive and passionate team

The opportunity to make a positive impact in a community-focused organisation with global reach

The ability to salary package up to $18,550 annually, meaning you can legitimately pay less tax and increase your tax-home pay

Generous leave benefits, including

3 days paid extra leave at the end of the year

Up to 16 weeks paid parental leave

2 days of paid cultural and community engagement leave

Are you ready to make a difference?

To apply, please submit your cover letter addressing the selection criteria and your resume. Only applications submitted via Seek will be considered.

Applications close on 20 June 2025; however, we’ll begin interviewing as soon as we hear from the right people, so be quick! At the interview you will be requested to demonstrate your experience with ML/AI with a short presentation.

NOTE: Never make payment to any employer, person, company, contractor or agency to get hired for a Job.

Enquiries can be directed to the People Team at Perkins via email people@perkins.org.au