Bioinformatics Research Officer in Single Cell Cancer Multi-omics @ WEHI
Employer: Walter and Eliza Hall Institute of Medical Research
Closing date: 21 June 2024
Brief position description:
An exciting opportunity exists for a talented bioinformatician to join the Papenfuss Lab in the Bioinformatics Division, to help drive a large-scale cancer project involving single cell multi-omics aimed at identifying biomarkers in lung cancer at Australia’s pre-eminent biomedical research institute.
About the position
The role, which is part of the national lung cancer TRACKER project, will involve establishing analysis pipelines, developing new methods, performing analyses and integrating CITE-seq, genomic sequencing data and other omicswith high-quality clinical data in order to identify the cellular and molecular determinants of drug response and patient outcome in metastatic lung cancer.
The position will be based in the Papenfuss Laboratory within the Bioinformatics Division at WEHI. The role will have ample opportunity for methods development and biological discovery. The role will work alongside a dedicated Research Software Engineer, who will develop a data platform for management, analysis and sharing of data.
The successful candidate will join a passionate team of computational scientists working on related projects in a supportive and flexible working environment. They will work alongside other bioinformaticians, computational biologists, and AI and machine learning experts. The research is well-supported by state-of-the-art computing facilities and engineering expertise. They will also collaborate closely with a team of passionate laboratory researchers, medical oncologists, surgeons and consumers.
The successful candidate will have a PhD in a quantitative discipline such as Bioinformatics, Computational Biology, Mathematics, Statistics, Computer Science or Physics, together with expertise in single cell transcriptomics and multi-omics, and experience managing large-scale cancer data. An interest or expertise in machine learning or AI would also be highly regarded.
Selection Criteria
Personal:
A PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics or Physics
A passion for making a difference in real world health problems
A collegiate approach and enthusiasm for collaboration
Excellent skills engaging with and managing collaborators and stakeholders
Strong time management skills
Knowledge and skills:
Strong bioinformatics expertise
Strong experience analysing CITE-seq data
Experience performing downstream analysis of genomic sequencing data
Experience applying machine learning techniques to biological data
Strong data management skills
Experience working with large-scale omics data
High-level data management skills
Highly developed written and verbal communication skills
Terms of Appointment
The position is available for a period of 2 years in the first instance with the possibility of renewal. Salary is Research Employee Level A-B (97,152-$130,353), subject to experience. Up to 17% superannuation and very attractive salary packaging options are available.
Contact name: Tony Papenfuss
Contact email: papenfuss@wehi.edu.au