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Postdoc level A computational biology: Multiomics pipelines in R and AI/Machine-learning methods development
3 months ago
Postdoc level A computational biology: Multiomics pipelines in R and AI/Machine-learning methods development
(Level A) $78,544 to $105,611 per annum plus an employer contribution of 17% superannuation applies.
Fixed term, full time position available for 24 months.
Large-scale multiomic data analysis, and development of high-performance analysis pipelines in R.
The position is for a postdoctoral or research-assistant fellow expert in large-scale data analysis and advanced R programming. High-throughput single-cell and multiomic data are revolutionising medical research. There is the need to develop analysis methods and pipelines that scale to tens of millions of cells. Tidyomics (Nature Methods 2024) is an R software ecosystem that enhances the analysis and visualisation of high-dimensional omics data, applying the principles of tidy data analysis, a de facto standard in data science. Given its large adoption, we propose to improve the documentation, robustness, and interoperability of the Tidyomics ecosystem and extend it to spatial profiling technologies.
Tidyomics packages enable computational biologists to employ a user-friendly grammar to manipulate popular data containers across omics (genomics, transcriptomics, cytometry) and platforms (Bioconductor, Seurat). Tidyomics aggregates a growing user base and community of developers, forming an international network that spans five continents.
This exciting position beyond developing tidyomics, also aims to develop high-performance single-cell and spatial analysis pipelines in R, for high-performance and cloud computing. These pipelines will serve our popular CuratedAtlasQuery database, which deploys the curated and annotated single-cell universe to researchers and institutions. Using these pipelines, you will model single-cell data at scale, to extract meaningful knowledge about cancer and the immune system.
Key responsibilities: Develop and enhance the tidyomics ecosystem (GitHub: tidyomics), write documentation and create and deliver workshops nationally and internationally. Enhance the pipeline HPCell (GitHub: MangiolaLaboratory/HPCell) and the single-cell knowledge base CuartedAtlasQuery. Analyse large-scale single-cell and spatial data in the context of cancer immunology.
To be successful you will need:
Explicitly address each selection criteria
- Attach a CV to the application including at least the following subsections: Education, Publication, Awards, GitHub profile.
- MSc/PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field with a strong focus on machine learning and deep learning applications.
- Proficiency R, with the ability to handle complex data analysis tasks. Please provide publicly available examples.
- A record of research, evidenced by publications in peer-reviewed journals or presentations at significant conferences, particularly in areas related to AI, language modelling, computational biology, bioinformatics, or immunogenomics.
Desirable:
- Demonstrable experience in analysing large-scale single-cell genomic data.
- Extensive experience in handling, processing, and interpreting large-scale biological datasets, including single-cell RNA-Seq data.
- Knowledge of Python and bash.
- Familiarity with immunogenomics, including the understanding of immune cell types, pathways, and mechanisms, especially in the context of cancer.
Enjoy an outstanding career environment
The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you a vast scope and opportunity for a long, fulfilling career.
It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.
Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.
We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life.
In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.
Learn more at: adelaide.edu.au/jobs
Your faculty's broader role
The Faculty of Health and Medical Sciences contains one of Australia's largest concentrations of leading health researchers, teachers and clinical titleholders. It's comprised of eight schools and a number of specialist disciplines, institutes and centres, variously focused on world-class research, and training the next generation of: medical doctors; surgeons; dentists; nurses; psychiatrists; psychologists; and other health professionals.
Learn more at: health.adelaide.edu.au
If you have the talent, we'll give you the opportunity. Together, let's make history.
Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.
Applications close 11:55pm, 6 September 2024.
The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.
For further information
For a confidential discussion regarding this position, contact:
Stefano Mangiola
Group Leader - SAiGENCI
E: stefano.mangiola@adelaide.edu.au
You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device)
The University of Adelaide is an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at time of application.
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