Data Analyst in Omics

** Role type:
** Full Time, Fixed Term for 2 years   
** Faculty:
** Faculty of Science   
** School:
** School of Mathematics and Statistics    
** Salary:
** Level

A.4 - $102,218  p.a. plus 17% super Analyse diverse omics datasets, contribute to pioneering research and develop integrative bioinformatics skills

Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.  society through the transformative impact of education and research. As a Data Analyst in the Lê Cao lab, you'll play a crucial role in unravelling complex biological systems through integrative analysis of high-throughput omics datasets. You'll have the opportunity to work on diverse projects, from transcriptomics to single-cell analysis, contributing to cutting-edge research in molecular biology.

Working within a multidisciplinary team, you'll develop and implement reproducible analysis pipelines, collaborate on high-impact publications, and potentially contribute to the renowned mix Omics toolkit.
** Your responsibilities will include:
** Knowledge Dissemination:
Contribute to publications, present findings, and support mix Omics-related training activities.

You are a detail-oriented and proactive data analyst with a strong background in bioinformatics or computational biology, demonstrating expertise in statistical programming and a passion for solving complex biological problems through data-driven approaches.

Have experience in analysing high-throughput omics data across various types (e.g., transcriptomics, proteomics, metabolomics).Demonstrate strong statistical and computer programming skills in R and Python.
** What we offer you
** We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:
Salary packaging and access to a range of discounted services including Bupa health insurance
** Please note**:
This role requires current valid work rights for Australia. Visa sponsorship is not available.
If this role is right for you, please apply with the following documents:
** Cover Letter outlining your interest and experience
** 1. Masters degree in Bioinformatics, Computational Biology, Statistics, or a closely related discipline (or equivalent professional experience in a relevant setting).2. Experience performing statistical analyses of high-throughput omics data (for example transcriptomics, microbiome, proteomics, metabolomics, single-cell), including appropriate preprocessing and quality control.
3. Demonstrated statistical and computer programming experience in R and Python experience in version control on For job-specific queries, refer to the contact details in the Position Description.
** Position

Description:

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