Senior Bioinformatics Research Officer

6 months ago

Randwick, Australia Children's Cancer Institute Full time
Work with purpose – help us find a cure for childhood cancer Access to our ‘FlexBEST’ program – true flexibility from day 1 - options include hybrid working, school-friendly hours, access to a 9-day working fortnight Focus on employee wellbeing, including a leading EAP program, and up to 5 gifted wellbeing days off (paid) per year Investment in leadership development and career advancement opportunities 13 weeks paid parental leave on top of any government funded paid parental leave Convenient Randwick location, across the road from UNSW Light Rail stop THRIVE – Wellbeing initiatives to support “life balance” REDI – Respect, Equity, Diversity, and Inclusion initiatives Social Committee – Fun, engaging events to foster connection
 Personal Best – Structured Individual and Team goal setting to achieve Personal & Career development

The Children’s Cancer Institute is the only independent medical research institute in Australia dedicated to research into the causes, prevention, better treatments and ultimately a cure for childhood cancer. More than 40 years on, our vision remains unchanged – to save the lives of all children with cancer and improve their long-term health, through research. 

We are seeking a Senior Bioinformatics Research Officer, who will be responsible for developing computational approaches focussed on liquid biopsy assays. This will include the development of modular analysis pipelines (eg deep targeted sequencing or low-pass WGS plus various single cell RNA/ DNA and protein analysis techniques), algorithms to develop highly personalised assays, and a keen interest in using these technologies to better understand the biology of childhood cancer.

The successful candidate will be an independent, highly motivated and talented researcher, capable of driving change an implementing novel approaches. The ideal candidate will have expertise in precision cancer genomic medicine, circulating tumour DNA analysis and single-cell DNA and RNA sequencing approaches. The successful candidate will be motivated to drive innovative research and publications in this area, in part through collaboration with researchers and clinician-scientists at the institute, but ultimately independently.

The successful applicant will also work closely with other members of the Computational Biology and Liquid Biopsy groups 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:

Developing analytical approaches to study circulating tumour DNA Develop analytical approaches to study circulating tumour cells (CTCs) Drive innovative computational research into tumour evolution and cellular heterogeneity Develop new and improved models of disease stratification and risk prediction on the basis of longitudinal liquid biopsy data Be motivated to seek academic career progression opportunities through driving manuscript writing, grant writing and presenting research and conferences. Support the computational biology and liquid biopsy groups 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, with a minimum of 8 years experience High-level of proficiency in bash, R, and python Strong demonstrated expertise working with multiple next generation sequencing methods, including single cell analysis Experience developing modularised analysis pipelines (eg Docker) which operate in a commercial or academic cloud environments are desirable Ability to develop, manage and maintain internal and external relationships, including collaborations Expertise in developing diagnostic assays, and assessing their analytical performance is desirable but not essential Experience working with clinical pathology services is desirable but not essential Experience in clinical interpretation of genomic data is highly desirable Highly motivated to produce high quality outcomes in pursuit of translational and clinical excellence

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