Careers at Children's Cancer Institute
Senior Bioinformatician AI/Machine Learning Specialist

Location:
Randwick - Sydney, Australia  
Employment Type:
Full-Time Fixed Term  
Department:
Computational Biology (CB)
Salary:
$100,000 - $110,000
Supporting Documentation:

  • Innovative, collaborative and team-orientated environment
  • Modern, world-class research
  • Convenient Randwick location, across the road from the UNSW Light Rail Stop
  • Very Flexible working options

The newly formed Computational Biology group at the Children’s Cancer Institute develops novel computational approaches to improve outcomes in patients with childhood cancer. This primarily involves the analysis of whole genome, transcriptome and methylome data, from patient tumours and preclinical models. From this, we develop methods to understand the role of inherited and somatic variation in tumour initiation, progression, and to identify therapeutic vulnerabilities. Our research has a highly translational focus and is leading the genomic and bioinformatic analysis underlying the national Zero Childhood Cancer program, and the Luminesce Alliance for Precision Medicine. We are partners of the Australian Bioinformatics Commons, a new initiative to establish an Australian instance of the Kids First Paediatric Research platform.

We are seeking a bioinformatics research officer to tackle two major challenges of precision medicine, namely: obtaining an accurate molecular diagnosis and predicting the prognosis of each patient with childhood cancer. Numerous molecular classifiers have been developed for most major paediatric cancer subtypes, through most are focussed on subsets (e.g. brain tumour subtypes) and typically leverage only a single type of molecular data, and rarely incorporate histopathological findings from traditional diagnostic laboratories. This research officer will develop a suite of diagnostic and prognostic approaches, which leverage multi-omic molecular data (RNAseq, WGS and methylation profiling) and histopathology data.

The successful candidate will be an independent, highly motivated, and talented researcher, with a passion for conducting high quality research in paediatric oncology and computational biology. This highly translational project will result in the development of approaches which support the uptake of comprehensive molecular profiling (RNAseq, WGS and methylation profiling) as a first-line diagnostic tool, driving important clinical and research benefits. They will work closely with other members of the Computational Biology Group to support the development, and delivery of a training program aimed at building capacity, knowledge, and expertise across institute research staff in bioinformatics, computational biology, genomics, and study design.

 

Responsibilities will include, but are not limited to:

In fulfilling the core strategic objectives of the group, the role will be engaged in the following duties and responsibilities:

  • Identify and evaluate existing molecular classifiers for major paediatric cancer subtypes, using extensive in-house and external data
  • Develop a system to capture known diagnostic and prognostic information that reflects the traditional diagnostic pathways for paediatric cancers
  • Develop algorithms to leverage recent multi-omic molecular profiling data to identify ‘data-driven’ diagnostic and prognostic molecular features
  • Ultimately develop a universal, multi-omic molecular classifier for paediatric cancer
  • Be motivated to seek academic career progression opportunities through driving manuscript writing, grant writing and presenting research and conferences.
  • Support the computational biology group and collaborations with paper writing, and grant writing
  • Interact with members of the precision medicine curation team to translate this research into clinical practice.
  • Day-to-day support and occasional training of students and junior staff as required.
  • Staying abreast on advances in genomics and next generation sequencing technology in general, maintaining knowledge about clinical genomic testing and personalised medicine

 

Qualifications, experience and skills required:

  • PhD in computational biology, genomics, or related field
  • Highly developed skills in bioinformatics and genomics
  • High-level of proficiency in at least one of bash, R, and python
  • Strong demonstrated expertise working with multiple next generation sequencing methods
  • Strong understanding of cancer biology
  • Strong understanding of classification algorithm and statistics in general
  • Ability to develop, manage and maintain internal and external relationships, including collaborations
  • Experience in clinical interpretation of genomic data is desirable but not essential
  • Highly motivated to produce high quality research with rapid translational and clinical impact

 

This is an excellent opportunity to work in an inspiring workplace. You'll be rewarded with a friendly and professional flexible work environment, comprehensive on-campus facilities, competitive salary, salary packaging options, access to a leading EAP program and regular social activities. Join a group of dedicated people in a performance-driven environment to achieve success and discover what it's like to look forward to coming to work every day and make a real difference. We're looking for people who share our values of accountability, integrity and camaraderie, teamwork, sharing and excellence, success and satisfaction.

A detailed job description and additional information about Children's Cancer Institute can be found on our website at: https://www.ccia.org.au/careers-study . We embrace diversity and encourage applications from people from diverse backgrounds and cultures.

To apply, please click the 'APPLY' link and forward both your resume AND cover letter (mandatory) clearly addressing the qualifications, experience and skills required.

Note: Applications will be reviewed prior to the closing date; which is dependent on the status of the recruitment process. Only successfully shortlisted candidates will be contacted.