Job:Laboratory Head Artificial Intelligence and Machine Learning (WEHI, Australia)
Entering edit mode
9 months ago
Gordon Smyth ★ 7.2k

Job Description

An excellent opportunity is available for a Laboratory Head with expertise in AI or machine learning to join the Bioinformatics Division at WEHI, Australia’s pre-eminent biomedical research institute.

About the position

The position of Laboratory Head in Artificial Intelligence and Machine Learning is for an outstanding researcher to develop an internationally competitive team to create and apply artificial intelligence, machine learning, or statistical learning methods together with other computational approaches to omics, imaging, clinical, drug discovery or other data in order to address fundamental biomedical or translational challenges.

An attractive package will be provided with the position either in the form of a WEHI Fellowship or underwriting package.

The position will be based in the Bioinformatics Division of the Computational Biology Theme at WEHI, which has an outstanding record of high-impact research in statistical bioinformatics, cancer omics and systems biology including the creation of bioinformatics methodology. We are looking for a new laboratory head who will build on and complement existing strengths. The new laboratory is part of a broader program developing AI and machine learning at WEHI, which includes postdoctoral fellowships, flagship projects in multiomics, image-omics and drug discovery, and external partnerships.

There will be excellent opportunities for collaboration within the Institute to leverage the broad expertise in cell biology, immunology, infectious diseases, cancer, computational biology, structural biology, and drug discovery, as well as genomics, proteomics and imaging technologies. The collaborative nature of researchers at WEHI and their expertise over a range of diseases make this an ideal place for such studies.

Selection Criteria

The successful candidate will hold a PhD or equivalent qualification and will have completed post-doctoral work with a strong basis in artificial intelligence, machine learning, or computational science, applied to biology, resulting in an outstanding record of scientific achievements. Their research focus will be aligned with the Division and the Institute. A history of a highly innovative and collaborative approach to research would be highly valued. Women and early-career researchers are especially encouraged to apply.

Terms of appointment

This position is available for 7 years Maximum Term in a full-time capacity, renewable thereafter based on participating in the annual faculty review process, with underwriting for research and salary support during this period. Salary and appointment level is dependent on experience.

WEHI is committed to providing an inclusive, safe and positive workplace for all staff and students. We aim to develop a vibrant organizational culture underpinned by our core values.

Benefits available at WEHI:

  • Up to 17% superannuation
  • Very attractive salary packaging opportunities including the option to package up to $15,900 of your pre-tax salary
  • Flexible working arrangement that provides balance between work and personal needs
  • A range of initiatives to maximize opportunities for women in Science
  • Women postdoctoral fellows and women laboratory heads can apply for support packages of up to $15,000 per annum to assist with childcare costs for pre-school-age children
  • Generous parental leave options for primary and secondary carers
  • Learning and Development opportunities to support your career advancement

WEHI also offers:

  • Support securing an appropriate working visa in Australia, if required.
  • Relocation assistance may also be provided as well as flexibility with starting date.
  • Institute holidays in excess of annual leave.
  • Meal entertainment card to the value of $2,650 (pre-tax salary).
  • Novated car leasing options.

General enquiries can be directed to the Theme Leader for Computational Biology Professor Tony Papenfuss and the Bioinformatics Division Head Professor Gordon Smyth:

How to Apply

Please apply by uploading (a) your CV, (b) a cover letter and (c) a document addressing the selection criteria above in pdf format, see:

Note that you will be prompted to create an account and password as part of the online application process.

Application closing date: Monday 30 October 2023

Australia machine-learning • 1.5k views
Entering edit mode
6 months ago
Gordon Smyth ★ 7.2k

The closing date has been extended to 27 November 2023.


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