Employer: The University of Melbourne

Closing date: 09 Jun 2024 11:55 PM

Brief position description: Job no: 0062641
Location: Parkville
Role type: Full-time; Fixed-term for 2 years
Faculty: Faculty of Science
Department/School: School of Mathematics and Statistics
Salary: Level A – $83,468 - $113,262 p.a. plus 17% super

About the Role
We are seeking an enthusiastic R Software Developer to maintain and extend the mixOmics R toolkit.

mixOmics is a toolkit that implements 19 multivariate methods for the exploration and integration of “omics” data spanning from transcriptomics (the study of all transcripts) to microbiome data (the study of all bacteria). Thirteen of these methods have been developed by Lê Cao lab members. mixOmics has been ranked top 5% package in Bioconductor repository in the past 5 years.

This role involves working closely with lab members to integrate new statistical methods into mixOmics 2.0, participating in collaborative data analyses, and teaching in mixOmics workshops. The successful candidate will also moderate the mixOmics discussion forum, engage with users, and contribute to the dissemination of the toolkit.

Opportunities for co-authorship in peer-reviewed publications are available.

Your responsibilities will include:

- Participate actively in the maintenance, and development of the mixOmics R package
- Maintain the mixOmics website, respond to queries from users on Github issues and the discussion forum and ensure a positive user experience
- Participate as a member of the research team
- Maintain research data to a high standard, particularly data analysis files and related programs/scripts.

Who We Are Looking For
You will have work experience in statistical and computer programming, particularly in R and coding R packages. You will bring excellent verbal and written communication skills, meticulous record-keeping, and high attention to detail essential for effective research collaboration and engagement.

You will also have:

- Bachelor or Masters degree in Computer Science, Bioinformatics, Computational statistics or equivalent
- Demonstrated statistical and computer programming experience in R and coding R packages
- Demonstrated experience in version control on Github
- Experience in analysing high-throughput biological data

For further information regarding responsibilities and requirements, please refer to the attached PD.

Your New Team – “Melbourne Integrative Genomics (MIG)"

https://sites.research.unimelb.edu.au/integrative-genomics

Melbourne Integrative Genomics (MIG) is a cross-disciplinary initiative at the interface between biology, mathematics and statistics at the University of Melbourne.

MIG is a leading institution where we use innovative mathematical and computational approaches to answer pressing questions in biology and biomedicine. MIG, which was founded in 2017, fosters a vibrant environment for collaborative research and education.

https://research.unimelb.edu.au/integrative-genomics

Le Cao lab is part of Melbourne Integrative Genomics (MIG), which has been established in 2017 and is an initiative to strengthen the involvement of statisticians in the advances being made in genomics and computational biology. MIG is an interdisciplinary research centre for the application of maths/stats/computing techniques to genomic profiling data to help understand genotype-to-phenotype process in humans and other organisms.

Join Us!
If you feel this role is right for you, please review the Position Description and apply via
https://jobs.unimelb.edu.au/en/job/917181/research-assistant-r-software-developer

Job website: http://jobs.unimelb.edu.au/en/job/917181/research-assistant-r-software-developer

Contact name: Anna Gradoboeva

Contact email: hr-careers@unimelb.edu.au