POSITION TITLE: Research Fellow in Multiomics, AI and Machine Learning
EMPLOYER: WEHI
CLOSING DATE: 23 August 2023
BRIEF POSITION DESCRIPTION:
An opportunity exists for a talented and motivated computational scientist to join an exciting new program developing and applying artificial intelligence and machine learning methods to analyze biomedical molecular data 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 multi-omics data to identify disease subtypes and predictive biomarkers in a variety of health-related settings, including infectious disease and cancer. Projects will involve large-scale single cell or spatial omics, imaging, genome and/or other omics data. There will be opportunity for methods development.
The successful candidate will join an 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.
Selection Criteria
Personal Qualities:
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
Essential Knowledge and Skills:
Expertise in machine learning, artificial intelligence and multiomics
Experience with genomic, transcriptomic or other high-throughput data
Experience applying machine learning techniques to biological data
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 possible extension dependent on performance. Salary Scale will be from Research Officer (RO) A6 to Senior Research Officer (SRO) B1 between $97,152 - $109,778. Salary will be dependent on the candidate’s experience.
Up to 17% superannuation and very attractive salary packaging options are available. Salary will be dependent on the candidate’s experience.
CONTACT NAME: Tony Papenfuss
CONTACT EMAIL: papenfuss@wehi.edu.au