AddressAn exciting opportunity exists for a talented and motivated computational scientist to join a new research program developing and applying artificial intelligence and machine learning methods to analyze biomedical molecular data from cancer and other diseases at Australia's pre-eminent biomedical research institute.
About the position
Recognizing the emerging importance of artificial intelligence and machine learning in biomedical research, WEHI is investing strongly in a new research program and is creating multiple new AI Research Fellow positions.
This position will be based in the Papenfuss Laboratory within the Computational Biology Theme. It will involve developing and applying machine learning techniques to integrate large-scale bulk, single cell or spatial omics data to identify disease subtypes and predictive biomarkers in a variety of health-related settings, including infectious disease and cancer. There will be opportunity for methods development and to collaborate widely in the application of AI to molecular data at WEHI.
The successful candidate will join a growing interactive team of computational scientists in a supportive and flexible working environment. They will work alongside other AI and machine learning experts as part of a broader AI research community developing at WEHI. The research is well-supported by state-of-the-art computing facilities and engineering expertise.
The successful candidate will have a PhD in a quantitative discipline such as Computer Science, Bioinformatics, Computational Biology, Mathematics, Statistics or Physics, together with expertise in machine learning techniques applied to multi-omics data.
The level of appointment will be in the Research Officer or Senior Research Officer band, depending on the candidate's experience. The position is available for a period of 3 years in the first instance with the possibility of renewal. Up to 17% superannuation and very attractive salary packaging options are available.
Selection Criteria
Personal:
- A PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics or Physics demonstrated through publications or a thesis
- A collegiate approach and interest in collaboration
- Good time management skills
- Excellent skills engaging with and managing collaborators and stakeholders
Knowledge and skills:
- Expertise in omics analysis and machine learning or artificial intelligence
- Experience with genomic, transcriptomic or other high-throughput data
- Experience applying machine learning techniques to biological data
- Strong data analysis skills using unix and languages such as R or python
- High-level data management skills
- Highly developed written and verbal communication skills
Terms of appointment
This full-time position is for a period of 3 years in the first instance, with renewal dependent on performance. Salary will be dependent on the candidate's experience. Up to 17% superannuation and very attractive salary packaging options are available.
General enquiries can be directed to Professor Tony Papenfuss *********@wehi.edu.au
A position description is available here.
How to apply
Please apply by uploading your CV, cover letter and a document addressing the key selection criteria in pdf format.
Application closing date: 6 June 2024.
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WEHI's commitment to diversity and inclusion
At WEHI we strive to foster a flexible working environment that encourages individual differences and promotes collaboration and creativity. We recognise that talent does not sit within a single identifiable group in our society and that WEHI's ability to shape contemporary scientific thinking and deliver leading professional services relies on a diversity of thought within our organisation. Our action to promote gender equality has been recognised with an Athena SWAN Bronze Award from Science in Australia Gender Equity (SAGE) and we offer a range of support for women researchers.
Our commitment to celebrating diversity and addressing inequities is further demonstrated through our Diversity and Inclusion Strategy, Gender Action Plan, Reconciliation Action Plan and our WE-Pride network for LGBTQIA+ staff and students. We actively encourage applications from, people with a disability, culturally, religiously and linguistically diverse people and people with diverse genders and sexualities. Should you require support during the recruitment process due to special needs or consideration, please contact the People and Culture team.
WEHI's commitment to Indigenous employment
WEHI is working to create a future where Aboriginal and Torres Strait Islander peoples will be engaged at the scientific frontier, making exciting discoveries and decisions about the future of health in this country, and part of a leading professional services workforce supporting the realisation of these discoveries. We are committed to creating a culturally safe workplace and offering career development and leadership opportunities to First Nations staff and students. We strongly encourage any Aboriginal and Torres Strait Islander peoples to apply.
