Postdoc level A in Bioinformatics: Innovating Computational Tools for the Cell Data Universe

Job Description

(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. The Mangiola Group at SAiGENCI seeks a highly motivated Postdoctoral Fellow to lead the development of advanced bioinformatic tools and methods for analysing and harmonising large-scale single-cell and spatial cell data. This position offers an exciting opportunity to shape the future of computational approaches in precision oncology by driving innovation in data science. About the Position This role is focused on creating state-of-the-art computational frameworks for large-scale data manipulation and analysis, prioritising the development of tools that address the complexity of single-cell and spatial data. The successful candidate will contribute to building robust, scalable software solutions that enhance reproducibility, usability, and insight generation for high-dimensional datasets. Those include tidyomics (Hutchison et al., 2024), HPCell, and more. The development will be done primarily in R and possibly in Python. Our solutions might include the implementation of deep-learning models on our data resources. Key responsibilities include: Designing and implementing novel bioinformatic tools and interfaces, primarily in R with extensions in Python, to handle the challenges of multiomic data integration. Developing and expanding tidyomics (Hutchison et al., 2024), a modular software ecosystem for data manipulation and analysis, ensuring it meets the needs of complex datasets in biomedical research. Creating and optimising pipelines to support harmonisation, scalability, and computational efficiency for analysing the cell data universe. Incorporating cutting-edge methods, including aspects of artificial intelligence, to complement bioinformatic tools. To be successful you will need: PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field. Demonstrable experience in analysing large-scale single-cell genomic data. Proficiency in programming languages commonly used in computational biology and data science, such as R and possibly Python, with the ability to handle complex data analysis tasks. Please provide publicly available examples. A strong record of research, evidenced by publications in peer-reviewed journals or presentations at significant conferences, particularly in areas related to bioinformatics, computational biology, bioinformatics, or immunogenomics. Desirable: Familiarity with R tidyverse. Extensive experience in handling, processing, and interpreting large-scale biological datasets, including single-cell RNA-Seq data. Experience in training foundational models of cell biology. Familiarity with immunogenomics, including the understanding of immune cell types, pathways, and mechanisms, especially in the context of cancer. Enjoy an outstanding career environment We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaboration - offers you vast scope and opportunity for a long, fulfilling career. 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. 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 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 selection criteria document, including at least the following subsections: Education, Publication, Awards, GitHub profile. Applications close 11:55pm, 27 February 2025. 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 MangiolaGroup Leader, SAiGENCIE: We are 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. #J-18808-Ljbffr