The tl;dr version: the Centre for Cancer Research is part of a new Genomics Hub, a new collaboration between the University of Melbourne, the Victorian Government and Illumina. As part of the initiative we are hiring:
- Two Senior Bioinformaticians (UOM 9, $123,292 - $128,275)
- Junior Bioinformatician (UOM 7, $93,935 - $101,684)
- Data Manager (UOM 7, $93,935 - $101,684)
If this sounds interesting head to the opportunities page, but if you want to have more context - read on.
The Genomics Platform Group
Our Genomics Platform Group is part of the University of Melbourne Centre for Cancer Research (UMCCR). We work on workflows and methods for the rapid analysis of cancer patient’s genomes and transcriptomes. Current efforts focus on WGS, WTS and ctDNA sequence analysis workflows and porting all computational resources to AWS - natively and via the new Illumina Analytical Platform (IAP). Our work is central to ongoing efforts to better understand treatment options for cancer patients through a number of different programs such as the Victorian Comprehensive Cancer Centre’s Precision Oncology program, the Cancer of Unmet Need Initiative and our collaboration with Richard Tothill’s SUPER-NEXT program to tackle cancer of unknown primary patients.
The Genomics Hub
Illumina, the University of Melbourne and Invest Victoria have launched the “The Illumina-University of Melbourne Genomics Hub”, an initiative to support genomic innovation projects and commercialization through so-called ‘flagship projects’. These are supported by three core platforms -health economics (led by Maarten IJzerman), Clinical Genomics (led by Sean Grimmond) and our own bioinformatics platform. This will allow us to scale up the Cancer of Unmet Need program and expand into non-invasive, blood based monitoring of cancer patients.
Bioinformaticians - Somatic Workflow Development
Our primary workflows rely on both bcbio and DRAGEN on AWS, but generating clinical reports from high-throughput sequencing data requires a lot of post-processing steps which we organize through the umccrise Snakemake workflow (for WGS) and RNAsum (for WTS). As a senior bioinformatician you would be responsible for expanding our capabilities by:
- predicting immuno-oncological markers,
- incorporating LINX to better classify genomic re-arrangements.
- capturing low-allelic frequency somatic changes with dynamic thresholds,
- add short tandem repeat sensors,
- capture RNA evidence for oncovirusus,
- classifying cancers of the unknown primary,
- improving workflows for blood cancers (e.g., dealing with contaminated normal samples, or handling mixed patient/donor germlines),
.. and much more. Your work also involves improving automation on AWS and IAP, optimizing runtime through benchmarks and profiling and supervising the junior bioinformaticians on day to day production tasks, processing patient samples, analyzing accreditation data and evaluating new assays.
Data Manager - A National Warehouse for Cancer Genomics:
We have just received ARDC funding to establish a cancer genomics warehouse in collaboration with the Australian BioCommons, ZERO Childhood Cancer, Australian Genomics and others. This leverages the NIH-funded gen3 Commons infrastructure and aims to implement the standards and data structures required to capture, discovery and disseminate cancer data. As a Data Manager you would help drive the curation and annotation of our genomic data, coordinate with initiatives such as ICGC-ARGO, ZERO and the GA4GH Cancer Working Group to harmonize clinical information, and work with our project managers to ensure all genomic information is captured in our warehouse, linked to consent and disseminated to project partners and public repositories. Your work also involves the evaluation of new approaches such as Dynamic Consent (CTRL) and Federated EGA.
All: Community involvement
All of our work is community-oriented - the code is open source and MIT licensed, and most of our projects are part of active collaborations with the Illumina DRAGEN team, the Hartwig Medical Foundation team and other partners. We also contribute to standards and international projects where possible, and we work closely with the Global Alliance for Genomics and Health. For the data manager that includes work on DUO, machine-readable consent and coordination with the Genomic Knowledge Standards workstream on data dictionaries; for the bioinformaticians this means interacting with and contributing to standards such as TES, WES, DRS, htsget and active participation in the workflow language communities.