Research Officer / Postdoctoral Fellow in Bioinformatics /Computational Biology

About the role

Key responsibilities include:

• Lead the analysis and integration of multi-omic datasets (e.g. RNAseq, ATAC-seq, ChIPseq, spatial omics data) across a variety of different projects including in prostate cancer research.
• Implement and develop efficient pipelines/approaches for the analysis of these multi-omics data and where necessary develop new custom bioinformatics methods/approaches.
• Lead the writing of publications relating to the projects.
• Collaborate with other researchers and students in the Lynn Systems Immunology and Butler Prostate Cancer groups to support the bioinformatics components of their projects.
• Assist in the smooth running of projects and the wider group.
• Contribute to development of competitive funding applications.

About You

The successful candidate will possess the following key attributes:

• MSc or PhD in Bioinformatics, computer science, physics, statistics or other relevant discipline.

Essential experience, knowledge and skills

• A minimum of 2 years experience in genomics/NGS bioinformatics fields.
• Have a strong track record in bioinformatics as evidenced by prior publications in high impact journals in the field.
• Have expertise in several of the following areas: bulk RNAseq, ATACseq, ChIPseq, single RNAseq, spatial transcriptomics, metagenomics, multi-omics data integration, network analysis, data visualisation.
• Have significant prior experience with at least one of the following scripting languages: bash, R, Python and Perl.
• Be a highly collaborative person, a strong team player, and an excellent communicator.
• Have the ability to work in an organised, methodical way and to manage multiple ongoing projects.
• Have attention to detail and a desire to understand a project and the intricacies of the data analysis.
• Have demonstrated problem solving and communication skills.

Highly desirable experience, knowledge and skills

• Experience in the analysis of other omic's data e.g. metabolomics, proteomics
• Prior experience working in a high-performance computing environment
• Knowledge of biological systems, with experience in immunology/cancer biology being particularly desirable.
• Prior experience in machine learning.
• Prior experience in cancer systems biology
• Prior experience developing bioinformatics software (e.g. R packages; Cytoscape apps or standalone tools).

Special Requirements

• Some out of hours work may be required.

Everything we do is underpinned by our core values and our institute is dedicated to grow a culture that pursues, enables and demands research excellence. We are proud of the work we do and work hard as a team to make a positive difference to the community.  Our values of excellence, innovation, courage, integrity and teamwork are what help us achieve our goals. If these are also your values and goals, apply today.

As a not-for-profit organisation, SAHMRI employees can access salary packaging options up to $15,900. Salary packaging lets you pay for things like the everyday costs of living with money from your salary before tax. This reduces your taxable income, meaning you could pay less tax and take home more of what you earn. For more information on salary packaging please see the Maxxia website.

For a copy of the position description, please click here.

For more information, please contact Professor David Lynn at David.Lynn@sahrmi.com

Applications close: Sunday 13^th October 2024

Aboriginal and Torres Strait Islander people are strongly encouraged to apply

SAHMRI is a member of the Athena SWAN Science in Australia Gender Equity program. We have been awarded Bronze status for our commitment to advancing the careers of women, trans and gender diverse individuals in STEMM.