Employer : Peter MacCallum Cancer Centre
Closing date: 04/04/2025
Brief position description:
This 1.0EFT position is for a bioinformatics postdoctoral fellow to drive the computational aspects of a range of exciting projects, both new and ongoing, in the Dawson laboratory. The position will involve the analysis of large-scale single cell data through the application of best-practice bioinformatics workflows and the development of innovative methods as required. The position will require a highly motivated bioinformatician or computational biologist to build on innovative methods including SPLINTR (Fennell, Vassiliadis et al; Nature 2022; Holze et al Cell Reports Methods 2024; Guirguis et al Cancer Discovery 2023) – a cellular barcoding and lineage tracing technique. The role will include the analysis of various single cell sequencing data types, including scRNA-seq, scChIP-seq, scATAC-seq, spatial transcriptomics and other emerging single cell platforms. The role requires strong R programming skills as well as familiarity with additional programming languages such as Python and/or Perl. The position requires experience working on a high-performance computing cluster in a Linux environment and knowledge of shell scripting. Best practices in documentation and coding, particularly with respect to reproducible and transparent science are required. The individual will collaborate very closely with other bioinformaticians, as well as cell and molecular biologists and clinical fellows to advance joint initiatives.
The successful applicant must have the ability to conduct research both independently and as part of a team, provide competent computational and analysis skills to the laboratory and be able to communicate results with research investigators.
This role is based within the Collaborative Centre for Genomic Cancer Medicine, a joint venture of the University of Melbourne and Peter MacCallum Cancer Centre seeking to improve the lives of people with cancer through equitable access to personalised treatment options and prevention strategies informed by the latest genomic tests and analysis.
This role will contribute to the University of Melbourne's partnership with international genomics company Illumina by collaborating with The Advanced Genomics Collaboration, jointly fostering the development of world-leading genomics research and innovation activities and to accelerate the translation of these innovation through to adoption in the healthcare system.
Contact name: Enid Lam
Contact email: enid.lam@petermac.org