Peter MacCallum Cancer Centre
Outstanding candidates are encouraged to apply for positions now open at Peter MacCallum Cancer Centre - a place where our normal days are extraordinary; as are the people we care for.
Peter Mac is one of a handful of integrated cancer research, education and treatment centres in the world. Each day our team strives to provide the very best in cancer care, even better treatments and potential cancer cures for all people affected by cancer.
Globally, we are facing one of the most pivotal times in the pursuit of cancer cures, and Peter Mac stands at its forefront. Together, we aim to lead a new era of cancer prevention, care and discovery, supported by state-of-the-art facilities at our new home within the Victorian Comprehensive Cancer Centre building.
Your role in our future.
This position will join the Bioinformatics Core Facility and Goel Laboratory to provide bioinformatics support to next-generation sequencing and other high-throughput genomics data using best-practice methods. This position is a full time one-year, fixed term position with a prospect for a permanent position.
This position will primarily support the analysis of single-cell RNA sequencing data at Peter Mac Research. Prior experience in single-cell data analysis is essential. This position will work and communicate closely with a team of cell biologists and bioinformaticians to address the analytical challenges posed by evolving genomic technologies. In this role you will:
Analyse single-cell RNA seq and other next generation sequencing data using best-practice methods and pipelines
Be exposed to cutting-edge research techniques in cancer therapeutics and contribute to solving related bioinformatics problems
Develop pipelines and support data processing
Apply computational and statistical methods to answer research questions
Communicate work progress and results to researchers frequently
Candidates who wish to apply for this position MUST have:
A Master or higher degree in Mathematics/Statistics/Bioinformatics or equivalent, with outstanding academic results in final year subjects
At least two years of experience in the analysis of next-generation sequencing data for human disease research
At least one year of experience in single-cell RNA-seq data analysis
Highly developed R and Python programming skills
Experience working in a Unix environment and shell scripting
Excellent verbal and written communication skills
Strong interests in cancer research
Proven ability to manage time effectively and be reliable and approachable
Desirable (non-compulsory) qualifications include:
Experience with Cloud Computing and High-Performance Computing
Understanding of cancer research concepts and techniques
Experience in Machine Learning & Machine Learning Operations
For further information about this opportunity, please review the position description or contact us for a confidential discussion.
Application will be closed 11:59 pm 5 April 2023.