Spatial and Single-Cell Computational ImmunogenomicsJob no: 513184
Work type: Fixed term - Full-time
Campus: Adelaide
Categories: Faculty of Health & Medical Sciences, Level A
(Level A) $75,888 to $102,040 per annum plus an employer contribution of 17% superannuation applies. Fixed term, full time position available for 2 years. The position is for a postdoctoral fellow in computational immunogenomics. This position will advance cancer diagnosis by analysing immune responses and treatment efficacy through data-driven research and a multi-omic approach.
Exploring the dynamics of circulating immune cells in blood reveals crucial insights into the immune system's response, its efficacy against metastatic cancer, and its reaction to various treatments. Profiling peripheral blood immune single cells and circulating cytokines, we uncovered patterns of immune cell communication and composition linked to metastatic progression.
This exciting position aims to expand this research to encompass the local tumour microenvironment and apply this approach to identify individual immune characteristics influencing immunotherapy success. We aim to employ a multiomic approach, analysing extensive patient data across all stages of disease progression. This research will utilise state-of-the-art facilities, including 10x Xenium, 10x CITE-seq, Milliplex and proteomics.
We're searching for a dynamic individual for the Computational Biologist/Bioinformatician/Biostatistician role. This position is ideal for someone who excels in integrating data-driven biological research, developing necessary computational or statistical methodologies, and effectively managing and analysing research data. Joining our team offers a unique opportunity to enhance your skill set, establish a solid research profile in computational biology and biomedicine, and contribute significantly to improving patient outcomes.
The Stefano Mangiola Research Group at SAiGENCI is at the forefront of cancer immunogenomics, employing data-driven machine-learning techniques. Our interdisciplinary and international team collaborates extensively with immunology, cancer biology and machine learning experts, leveraging state-of-the-art experimental data to unravel biological processes and novel biomedical applications.
To be successful you will need: MSc/PhD in Bioinformatics, Computer Science, or related field;
High-dimensional data analysis skills;
Demonstrated ability to think creatively and innovatively in problem-solving, particularly in the application of computational methods to biological questions.
Proficiency in R or Python.
Responsibilities: Analysing, modelling and integrating large-scale single-cell and spatial single-molecule datasets.
Develop new methods and pipelines for large-scale and massively parallel data processing and modelling of transcriptomic, proteomic, metabolomic and imaging data.
Collaborate across teams, effectively communicating results and contributing to experimental design.
About You: Passionate about interdisciplinary collaboration, with strengths in both computational and biological sciences.
Organised, detail-oriented, and adept in managing complex datasets.
Eager to contribute to a forward-thinking research environment.
Self-driven in conducting research and making an impact.
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.
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.
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.
The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. 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 employercommitted 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. Advertised: 25 Mar 2024 12:00 AM
Applications close: 24 Apr 2024 11:55 PM
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