Position title: Post Doctoral Researcher - Molecular Biomarkers and Translational Genomics Laboratory
Employer: Peter MacCallum Cancer Centre
Closing date: 24th April 2023
Brief position description: Applications are invited to join an exciting research program within the Molecular Biomarkers and Translational Genomics Laboratory led by Sarah-Jane Dawson at the Peter MacCallum Cancer Centre (https://www.thedawsonlab.com/). The research will explore the use of circulating tumour DNA to study genomic and transcriptional evolution and provide insights into treatment response and resistance in cancer.
The position will involve the analysis of large-scale genomic data, with a focus on whole genome sequencing, through the application of best-practice bioinformatics workflows and the development of innovative new methods as required. Applicants should have demonstrated experience developing and maintaining bioinformatics analysis workflows. Experience working with cloud computing, containers and version-controlled pipelines is desirable but not required.
The position will require a highly motivated and skilled bioinformatician or computational biologist with expertise in the analysis of next generation sequencing data, integration of genome-wide datasets, competency in programming languages R and/or Python/Perl and experience with working on a high-performance computing cluster. The individual will be responsible for driving their own specified projects, but will also collaborate very closely with cancer molecular biologists to work on joint initiatives.
The position will be in a research environment that includes a large and interactive group of bioinformaticians and computational biologists in the Computational Cancer Biology Program and the Bioinformatics Core Facility. The position will be initially for a fixed term of 12 months with the opportunity to extend. Remuneration will be commensurate with qualifications and experience.
Essential Requirements
PhD in Computational Biology, Bioinformatics or similar
Experience in analysing a wide range of next generation sequencing data including whole genome, targeted sequencing and/or RNA sequencing.
Demonstrated capacity for independent research and supervision
Demonstrated experience developing and maintaining bioinformatics analysis workflows
Willingness to learn new techniques
Ability to work both independently and as part of a team
High level organisational, interpersonal and time management skills
First author publications in a relevant area
Excellent Python or R programming skills
Experience with high performance computing clusters environments
Desirable Requirements
Expertise in cancer research
Experience working with cloud computing, containers and version-controlled pipelines
Applicants to this role should provide a covering letter outlining relative key skills and experience to assist us with our assessment.
Contact name: Dineika Chandrananda
Contact email: Dineika.Chandrananda@petermac.org