Careers at Children's Cancer Institute
Senior Bioinformatics Research Assistant

Location:
Randwick - Sydney, Australia  
Employment Type:
Full-Time Fixed Term  
Department:
Computational Biology 1 (CB1)
Supporting Documentation:

  • Innovative, collaborative and positive team-orientated environment
  • Modern, world-class facilities
  • Convenient Randwick location, close to transport

Paediatric cancer takes a devastating toll on patients, their families and the community, with over 750 new patients diagnosed in Australia each year. Concurrently with significant advances in precision medicine, which are finding new ways to treat patients, it is imperative that we better understand the contributions that any inherited, or germline variants contribute to paediatric cancer. The ability to accurately identify at risk individuals through improved methods of cancer predisposition screening offers a compelling opportunity to reduce mortality and improve health outcomes in communities.

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 and transcriptome data, from patient tumours and their matched preclinical models. From this, we develop methods to understand the role of inherited and somatic variation in tumour initiation, progression, and 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 Paediatrio Centre for Precision Medicine.

The role of this bioinformatics research assistant will be to support the group’s research into the genomic causes, and prediction, of childhood cancer.  Working closely with other members of the group, the bioinformatics research assistant will help develop software tools to measure established, emerging, and novel measures of cancer risk, apply these tools to large cohorts of paediatric cancer, and correlate their outputs to cancer incidence. The bioinformatics research assistant will also support the group’s analysis of clinical genomes to identify families with inherited cancer predisposition syndromes, by developing and running genomics analysis pipelines, and liasing with study staff to ensure rapid and reliable delivery of genomic results.

The successful applicant will have exceptional analytical skills and attention to detail and be familiar with performing bioinformatics analysis at scale. They will have a proven capacity to work with multiple stakeholders to deliver analytical results in a reliable and timely manner. Knowledge of cancer biology, and experience working with massively parallel sequencing data, are desirable but not essential to the role.


Responsibilities will include, but are not limited to: 

  • Work with members of the Computational Biology Group to develop novel analytical approaches to estimate cancer risk.
  • Engineer software tools to assess established and novel cancer risk measures in paediatric cancer and other cohorts.
  • Apply these tools at scale to large in-house and on-cloud cohorts, and analyse their output.
  • Support cohort genomics projects within the group, through engineering, running, and monitoring analytical pipelines.
  • Present work at meetings and conferences, and contribute to the preparation of publications and grants.
  • Other duties as assigned.

 

Qualifications, experience and skills required:

 

  • Essential: Strong expertise in at least one of bioinformatics, software engineering, or statistics, with fluency in at least one scripting language (eg R, Python, bash), and familarity with command line use of POSIX systems (eg Linux).
  • Essential: Highly motivated, creative and empathetic.
  • Highly desirable: Experience in data analysis and strong familiarity with statistical reasoning
  • Highly desirable: Demonstrated experience in the development and execution of computational pipelines, such as bioinformatics pipelines or CI workflows.
  • Highly desirable: Expertise in cloud-based and/or high-performance computing platforms and software containers
  • Highly desirable: Familiarity with version control systems and team-based software development methods.
  • Highly desirable: Expertise in at least one of genetics, genomics, applied mathematics, cancer biology, or molecular biology

Children’s Cancer Institute is strongly committed to the growth of their employees, so all team members can fulfil their aspirations. You'll be rewarded with a friendly and professional flexible work environment, comprehensive on-campus facilities, competitive salary, salary packaging options, on-site parking 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: www.childrenscancerinstitute.org.au. 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 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.