Position title: Research Fellow - Klebsiella Genomic Surveillance and Sero-epidemiology
Employer: Monash University
Closing date: 10 July 2022
Brief position description: We are seeking a post-doctoral research fellow with expertise in bacterial genomic analyses to contribute to ongoing projects exploring the diversity and epidemiology of Klebsiella surface antigens. The appointee will use computational biology approaches to investigate the sero-epidemiology of Klebsiella polysaccharide capsules and lipopolysaccharides. Klebsiella species are among the World Health Organization priority pathogens for which novel control strategies are urgently needed, and the Klebsiella capsule and lipopolysaccharides are key targets for novel vaccines. Our team has developed genomic approaches to explore the diversity and epidemiology of these important antigens. In collaboration with researchers at the London School of Hygiene and Tropical Medicine (UK), the Statens Serum Institut (Denmark) and other global partners, we are continuing to improve these analytical approaches and apply them to large genomic datasets in order to directly inform vaccine design. The appointee will contribute to these and related efforts exploring the genomic epidemiology of Klebsiella species.
Job website: http://careers.pageuppeople.com/513/cw/en/job/637116/research-fellow-klebsiella-genomic-surveillance-and-seroepidemiology
Contact name: Kelly Wyres
Contact email: kelly.wyres@monash.edu
BioCloud DevOps Engineer @ NSW
Position title: BioCloud DevOps Engineer
Employer: University of Sydney
Closing date: 29/06/2022
Brief position description: As the BioCloud DevOps Engineer, you will work collaboratively with the Australian BioCommons (NCRIS) and the Sydney Informatics Hub (SIH) to develop, deploy, maintain, and continuously improve national data analytics platforms and services. You will have the opportunity to address the emerging needs of the Australian life sciences community and provide strategic support for national organisations. Your key responsibilities will be to: - report to the Australian BioCommons and Bioinformatics Group Lead in the SIH - explore technical solutions with the ‘Response to Community Roadmaps’ Scientific Business Analyst, the BioCommons - Platforms and Services Team and the BioCommons BioCloud Delivery Team - develop new or extend existing BioCommons services and software that are robust, scalable, and maintainable - collaborate and move newly established services to BAU (business as usual) processes - work collaboratively with other parts of SIH to build and develop an entrepreneurial culture - develop common technical skill sets with other SIH team members.
Job website: http://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/BioCloud-DevOps-Engineer_0093560-2?RECR_SOURCE_SEEK
Contact name: Tracy Chew
Contact email: tracy.chew@sydney.edu.au
Bioinformatics Researcher, Papenfuss Lab WEHI @ VIC
Position title: Bioinformatics Researcher, Papenfuss Lab WEHI
Employer: WEHI
Closing date: 12/7/2022
Brief position description: An exciting opportunity exists for a talented and motivated bioinformatics researcher to join our team, to develop and apply novel methods for cancer genome analysis at Australia’s pre-eminent biomedical research institute. The position will involve developing and applying novel computational methods to analyze cancer genome sequencing data and other cancer omics data, especially from our unique rare cancer patient cohort. The role will generate new bioinformatics methods and contribute to new discoveries of cancer drivers and other phenomena including chromosomal instability and the role of extra-chromosomal DNA. This will involve building methods to analyse short and long read DNA sequencing data from individual genomes and cohorts. The successful candidate will join a dynamic team of computational scientists in a supportive and flexible working environment. They will be encouraged to develop new research directions that complement existing themes within the division and have the opportunity to establish and contribute to collaborative research projects and to gain supervision experience. The research is supported by state-of-the-art computing facilities and expert engineering. The successful candidate will have a PhD in a quantitative discipline such as Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics or Physics, together with strong computing and programming skills, experience developing new algorithms, and a keen interest in pursuing a career in computational cancer biology research. The level of appointment will depend on the candidate's experience. The position is available for a period of 2 years in the first instance with renewal dependent on performance. Up to 17% superannuation and very attractive salary packaging options are available.
Job website: https://wehi.wd3.myworkdayjobs.com/en-US/WEHI/details/Bioinformatics-Research-Officer_JR939-1
Contact name: Tony Papenfuss
Contact email: papenfuss@wehi.edu.au
Bioinformatics postdoctoral researcher: Large-scale cancer omics analyses and methods development @ VIC
Position title: Bioinformatics postdoctoral researcher: Large-scale cancer omics analyses and methods development
Employer: WEHI
Closing date: 30 June 2022
Brief position description: An exciting opportunity exists for a talented and motivated researcher to join our research team to apply and develop statistical bioinformatics methods for use with large cancer genomics and other omics datasets at Australia’s pre-eminent biomedical research institute. The position will involve applying and developing novel analytical methods for normalizing and integrating large cancer genomics and other omics datasets and using the results in collaboration with cancer researchers to contribute new insights into cancer. In the first instance the appointee will work with Profs Terry Speed and Tony Papenfuss and Dr Ramyar Molania on expanding the analyses presented in the publication "Removing unwanted variation from large-scale cancer RNA sequencing data" (Nature Biotechnology, to appear) to specific datasets of interest to WEHI cancer researchers. It is hoped that this line of research can then be continued and further developed to the point where we will have normalized and integrated essentially all major datasets of a given type on particular cancers of interest to researchers from WEHI (e.g. bulk RNA-seq breast cancer) and elsewhere in the Parkville Precinct. Collaborative research with these researchers through interrogating the integrated datasets should follow. Extensions to newer technologies such as single cell RNA-seq and multi-omic datasets, and spatial studies should naturally follow. A major goal here is the development of “big data resources and expertise” so that both wet and dry lab WEHI researchers can benefit from this initiative.
Job website: https://wehi.wd3.myworkdayjobs.com/en-US/WEHI/details/Bioinformatics-Research-Officer_JR929-1
Contact name: Terry Speed
Contact email: terry@wehi.edu.au
Post-Doctoral Researcher in Bioinformatics and Immune Oncogenomics @ VIC
Position title: Post-Doctoral Researcher in Bioinformatics and Immune Oncogenomics
Employer: Peter MacCallum Cancer Centre
Closing date: 28/06/2022
Brief position description: An excellent opportunity exists for an enthusiastic, motivated and skilled postdoctoral researcher to join the Goode and Parish Labs within the Computational Biology and Cancer Immunology Programs respectively. An exciting new collaborative research direction is currently being pioneered between the Goode and Parish Labs to design and apply analytical approaches to data from emerging high-throughput sequencing, single cell sequencing and spatial immune profiling technologies to investigate the role of the immune system in cancer. The advertised position will involve collaboration with both industry, and laboratory scientists conducting cutting-edge research in immune oncology. The successful applicant will be based within the Goode and Parish Labs at Peter Mac. Suitable candidates will possess a PhD and must have research experience and a strong track record in a relevant quantitative field, such as bioinformatics, physics, statistics, computer science or mathematics. They must also have advanced skills in a scripting programming language (such as R or Python), analysis of biological data, and development of novel algorithms or statistical analysis approaches. The successful candidate will be self-driven, possess a love of learning and have a friendly and enthusiastic disposition. Previous research experience in transcriptomics, single-cell data or spatial analysis would be an advantage. The position is initially for a fixed period of 12 months with potential for extension. Remuneration will be commensurate with qualifications and experience
Job website: https://petermac.mercury.com.au/ViewPosition.aspx?id=Jj9AgdVJ6E4=&jbc=ere
Contact name: David Goode
Contact email: david.goode@petermac.org
Senior Scientist, Translational Bioinformatics (Statistical Genetics) @ VIC
Position title: Senior Scientist, Translational Bioinformatics (Statistical Genetics)
Employer: CSL Innovation
Closing date: 19 June 2022
Brief position description: CSL has an exciting opportunity for a Senior Scientist, Translational Bioinformatics (Statistical Genetics) to join our team. In this newly created position, you will provide scientific and technical expertise to help answer biomedical research questions at the pre-clinical and clinical stage of drug development using advanced bioinformatics and human genetics methods. You will expand CSL’s R&D capability in Translational Bioinformatics (with a focus on Statistical Genetics) in order to derive biological insights from large-scale genetic/genomic data available in public and commercial databases, as well as in-house high-throughput sequencing and other ‘omic experiments.
You will work closely with scientists within the Data Science Group, the Translational Science Group and other Research and Clinical Development groups to set project objectives and to determine and implement data generation, data analytics, and bioinformatics platform development strategies. You will also work alongside CSL’s external collaborators including spending time in their research laboratories as required to enable alignment of objectives and bioinformatics strategies.
Job website: http://www.linkedin.com/jobs/view/3100799934
Contact name: Gad Abraham
Contact email: gad.abraham@csl.com.au
Post-Doctoral Bioinformatics Research Scientist @ VIC
Position title: Post-Doctoral Bioinformatics Research Scientist
Employer: University of Melbourne
Closing date: 24 Jun 2022
Brief position description: A post-doctoral bioinformatics scientist is required for the SUPER-NEXT study involving development of a novel diagnostic method involving whole-genome analysis of cancers of unknown primary.
SUPER-NEXT aims to evaluate complete genome sequencing and the use of liquid biopsies in a group of diagnostically challenging cancers, collectively known as cancers of unknown primary (CUP). SUPER-NEXT is recruiting CUP patients from more than 12 sites around Australia for centralised biobanking and genomic testing at the University of Melbourne Centre for Cancer Research (UMCCR) and the Peter MacCallum Cancer Centre, both located at the Victorian Comprehensive Cancer Centre. The SUPER-NEXT study is funded as part of the Medical Research Future Fund Genomics Health Future Mission.
The incumbent will undertake a project leveraging the resources of the SUPER-NEXT study that is focussed on developing a diagnostic method from cell free DNA in patient blood samples. The method will use whole genome sequencing for mutation signature detection and ctDNA fragment analysis. The project will be highly translational with the goal to develop a diagnostic tool ready for deployment in CUP in the short to medium term. The candidate will require prior experience with Linux-based high-performance computing environments, as well as experience with scripting languages such as R, Python, and Shell-script. A strong background in mathematics or statistics is also highly desirable.
Job website: https://jobs.unimelb.edu.au/caw/en/job/908903?lApplicationSubSourceID=
Contact name: Richard Tothill
Contact email: rtothill@unimelb.edu.au
Lead Computational Biologist @ VIC
Position title: Lead Computational Biologist
Employer: Peter MacCallum Cancer Centre
Closing date: 24/06/2022
Brief position description: The Cancer Genomics Translational Research Centre requires a highly experienced research scientist to take on the role of Lead Computational Biologist, with expertise in cancer genomics, bioinformatic methods, clinical informatics and statistics. In this exciting new role, the lead will be responsible for the co-ordination and execution of multiple translational research projects, including involvement in building and supervising of a team of staff. Key duties and responsibilities include (but are not limited to): - In conjunction with the Head of the Cancer Genomics TRC and other TRCs, the lead scientist will design, conduct and report on defined academic and commercial translational research projects. - Establish, train and mentor a team with capabilities across a range of different computational methods. - Work with other TRC members to establish an efficient data analysis workflow and data management structure. - In collaboration with other researchers, core faculties, the research computing facility and the clinical bioinformatics team, the lead scientist will research and develop innovative computational methods for use by the TRC, focusing on developing tools for clinical translation and potential commercial application.
Job website: http://petermac.mercury.com.au/ViewPosition.aspx?id=Cayf75659Rs=&jbc=ere
Contact name: Stephen Wong
Contact email: stephen.wong@petermac.org
Prostate Cancer Precision Medicine PhD Scholarship @ SA
Position title: Prostate Cancer Precision Medicine PhD Scholarship
Employer: Flinders University
Closing date: 30/06/2022
Brief position description: The Prostate Cancer Precision Medicine Scholarship is an exciting new research opportunity for a PhD student within the Flinders Health and Medical Research Institute at Flinders University. Our group has access to individual-patient data (demographic, clinical, laboratory and tumour data) from thousands of patients with advanced prostate cancer. The broad aim of the project is to use sophisticated data analytic methods (e.g. machine learning) to interrogate this unique dataset and, from there, develop tools and guidelines that enable more precise and effective patient treatment. This project represents an exciting and emerging field of research that uses “big data” to improve health outcomes. The successful candidate will be supervised by an outstanding multidisciplinary team comprising experts in clinical epidemiology, biostatistics and data analytics (Dr Ashley Hopkins, Professor Michael Sorich), prostate cancer biology (Associate Professor Luke Selth) and prostate cancer medical oncology and pharmacology (Dr Ganessan Kichenadasse).
Job website: http://www.flinders.edu.au/scholarships/prostate-cancer-precision-medicine-phd-scholarship
Contact name: Luke Selth
Contact email: luke.selth@flinders.edu.au
Bioinformatician @ VIC
Position title: Bioinformatician
Employer: Peter MacCallum Cancer Centre
Closing date: 15 June 2022
Brief position description: The primary responsibility of this role is to support the bioinformatics analysis of cancer research projects in the Bioinformatics Core Facility, and will work closely with Professor Ben Hogan and Dr Lizzie Mason in the Program for Organogenesis and Cancer, and other researchers at the Peter MacCallum Cancer Centre.
The Bioinformatics Core Facility aims to provide all levels of bioinformatics support to research laboratories within Peter Mac. The team of bioinformaticians and postdoctoral scientists at the core work alongside laboratory and clinical researchers and contribute to their experimental design, grant applications and the analysis and publication of genomic and transcriptomic data. The core also develops and maintains software infrastructure required for bioinformatics processing, including pipelines and cloud provision systems.
The successful candidate will have an Honour’s or Master’s degree in Bioinformatics, Computational Biology, Systems Biology, Computer Science, or equivalent. The candidate will have strong computational skills and experience applying them in the analysis of genomic data.
Job website: http://petermac.mercury.com.au/ViewPosition.aspx?id=Vm6Z7pbJhWk=&jbc=ere
Contact name: Richard Lupat
Contact email: richard.lupat@petermac.org