Genomics WA (GWA) is seeking an enthusiastic Bioinformatician to lead the development and implementation of Artificial Intelligence (AI) and Machine Learning (ML) workflows in analysing 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?
Please review this detailed Position Description.
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 Interview you will be requested to demonstrate your experience with ML/AI with a short presentation.
Enquiries can be directed to the People Team at Perkins via email [email protected].
