Research Fellow, Bioinformatics
University of Melbourne
Description
About the Role The Peter Doherty Institute for Infection and Immunity (Doherty Institute) is internationally renowned for its cutting-edge studies of infectious diseases and immunity, as highlighted during the COVID-19 pandemic. To support ongoing and new research activities at the Doherty Institute, a new Computational Sciences Initiative has been formed. This is to provide new resources for computational and data sciences, incorporating bioinformatics, biostatistics, infectious disease modelling and artificial intelligence.
As part of the Institute's Computational Sciences Initiative, a Research Fellow is required to drive computational and statistical analysis of multi- omics datasets, applied to the areas of infectious diseases and immunology. The candidate will be self-motivated and develop a strong program of collaborative projects with other researchers in the Doherty Institute. This is anticipated to generate substantial new scientific discovery in areas spanning Immunology and Microbiology pursued in the institute. It will also facilitate the development of novel approaches in bioinformatics, particularly in the application of mathematical and computational techniques to analyse data from new and emerging ‘omic' technologies, including genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Talented, highly motivated, computer scientists with an interest in infection and immunity are encouraged to apply
About You
PhD in bioinformatics, statistivs, computer science or a related field
Demonstrated ability to communicate across teams and disciplines (biology and computer science), work as a member of a research team, and interact in a courteous, collaborative and effective manner with academic, administrative and support staff
Experience in running bioinformatics workflows on high-performance computing clusters
Experience in analysis of high-dimensional datasets, ideally those arising from high-throughput molecular assays
Strong organisation skills and accurate recording and analysis of data generated from research undertaken
Demonstrated experience in using initiative, working with minimal supervision and ability to prioritise tasks to achieve project objectives within timelines
Excellent verbal and written communication skills, demonstrated by presentation of research results at internal forums, conferences, and through manuscript submissions, inclusive of manuscripts posted to preprint servers
Experience in the following would be desirable: analysing single cell RNAseq datasets; integrating different high-dimensional datasets and multi-omics analyses; developing bioinformatics pipelines and/or software packages; cloud computing; machine learning or statistics; supervising students or research staff; and fundamental understanding and prior exposure to concepts in immunology and/or microbiology.
Benefits of Working with Us In addition to having the opportunity to grow and be challenged, and to be part of a vibrant campus life, our people enjoy a range of rewarding benefits:
Flexible working arrangements and generous personal, parental and cultural leave
Competitive remuneration, 17% super, salary packaging and leave loading
Free and subsidised health and wellbeing services, and access to fitness and cultural clubs
Discounts on a wide range of products and services including Myki cards and Qantas Club
Career development opportunities and 25% off graduate courses for staff and their immediate families
To find out more, please visit https: // about.unimelb.edu.au/careers/staff- benefits.
Be Yourself At UoM, we value the unique backgrounds, experiences and contributions that each person brings to our community, and we encourage and celebrate diversity. Indigenous Australians, those identifying as LGBTQIA+, females, people of all ages and culturally diverse backgrounds are encouraged to apply for our roles. Our aim is to create a workforce that reflects the community in which we live.
Join Us! If you feel this role is right for you, please submit your application including a brief cover letter, your resume and your responses against the selection criteria (found in the Position Description) for the role.
For information to help you with compiling short statements to answer the selection criteria and competencies, please go to https:// about.unimelb.edu.au/careers/selection-criteria
Should you require any reasonable adjustments with the recruitment process, please contact the Talent Acquisition team at hr-talent@unimelb.edu.au.
