Senior Clinical Bioinformatician @ SA

Position title: Senior Clinical Bioinformatician

Employer: SA Pathology

Closing date: 11:55 pm Friday 15 July 2022

Brief position description: PO3: The primary objective of the Senior Clinical Bioinformatician is to contribute to the delivery of high-throughput genetic testing technologies by implementing and maintaining genome analysis pipelines for diagnostic application. The incumbent is responsible for the delivery of specific tasks relating to project deliverables, including collaborating in the ongoing development of scalable platforms for storing, analysing and exchanging clinical and genetic data, participating in currently implemented algorithms for mapping and analysing human molecular variation. As a senior member of the Technology Advancement Unit, the incumbent leads and directs projects under limited supervision and collaborates and directs activities of other staff to drive service development and innovation. Bachelor of Science required, Bachelor of Applied Science or equivalent, preferably with experience in bioinformatics and genome analysis. PO4: The Senior Clinical Bioinformatician oversees the delivery of bioinformatics analysis and software solutions for high-throughput genetic testing by applying high level technical expertise to implement and maintain genome analysis pipelines for diagnostic application. Working collaboratively with Unit Heads and service development scientists, the Senior Clinical Bioinformatician will determine the most efficient way to deliver bioinformatics and genome analysis pipelines to meet service requirements for genetic diagnoses. The Senior Clinical Bioinformatician contributes to defining best-practise standards for bioinformatics and genomic analysis in the Directorate and contributes to national and international genomic initiatives to advance clinical genomics. The incumbent will participate in research activities, including research publications and applications for funding, as appropriate. Bachelor of Science required, Bachelor of Applied Science or equivalent, (e.g., Doctor of Philosophy in Computer Science), preferably with experience in bioinformatics and genome analysis.

Job website: https://iworkfor.sa.gov.au/page.php?pageID=160&windowUID=0&AdvertID=648821#brs_jbcontent

Contact name: Song Gao

Contact email: song.gao@sa.gov.au

Bioinformatics Research Officer - Papenfuss Lab, WEHI @ VIC

Position title: Bioinformatics Research Officer - Papenfuss Lab, WEHI

Employer: WEHI

Closing date: 20 July 2022

Brief position description: An exciting new opportunity exists for a talented and motivated computational researcher to join our research team at Australia’s pre-eminent biomedical research institute. The role will involve developing and applying novel algorithms and models to identify genomic rearrangements or structural variants (SVs) in cancer genome sequencing data to understand chromosomal instability. Building on current state-of-the-art computational techniques that were created in the lab, the position will involve developing and applying novel algorithms and potentially transformational approaches using machine learning to identify and making sense of SVs. These will be applied to a number of outstanding cancer genome sequencing cohorts to drive new cancer discoveries using computational approaches and make an impact in understanding chromosomal instability in cancer. 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 labs and have the opportunity to establish and contribute to collaborative research projects and to gain supervision experience.

Job website: https://wehi.wd3.myworkdayjobs.com/en-US/WEHI/details/Bioinformatics-Research-Officer--Papenfuss-Lab-_JR967-1

Contact name: Tony Papenfuss

Contact email: papenfuss@wehi.edu.au

Taiyang and Loong PhD scholarships in Computational Biology (International applicants) @ ACT

Position title: Taiyang and Loong PhD scholarships in Computational Biology (International applicants)

Employer: The Australian National University

Closing date: 31 August 2022

Brief position description: We are seeking candidates to join the PhD program of the John Curtin School of Medical Research (JCSMR) at the ANU. Successful candidates will join the new Talo Computational Talent Accelerator of the JCSMR to apply knowledge and research skills from computer science to address biomedical problems. We offer PhD scholarships for intellectually curious and high-performing students with a thirst for cross-disciplinary learning and impact in health and biology. Over a four-year program, PhD scholars will engage in computational biology research at the JCSMR. The program will include focused training on Biology, Genomics, and Biological Data Analysis, as well as outreach activities to undergraduate and masters students. Additional soft-skill training will be available, with a special focus on effective partnerships with biomedical scientists. Besides the production of outstanding research and accomplishment of a PhD degree, the objectives of these PhD scholarships also include to: - Achieve an in-depth understanding of biomedical science and the ability to communicate across diverse backgrounds. - Understand biomedical problems and identify the right technology to address them. - Identify potential applications of new computational technologies to biomedicine that may produce new insights and advances in research and innovation. - Identify the translational applications of these technology developments. - Exposure to applications of computational technologies in industry and startup companies A list of potential PhD projects is available here: https://jcsmr.anu.edu.au/study/talo-computational-biology-talent-accelerator/potential-phd-projects More information about the research happening at JCSMR can be found here: https://jcsmr.anu.edu.au/ We recommend prospective candidates to contact first potential supervisors to prepare the application. Applications for International candidates (non-Australians) close on the 31st of August, applications for Australians close on the 31st of October.

Job website: http://www.anu.edu.au/study/scholarships/find-a-scholarship/taiyang-and-loong-phd-scholarship

Contact name: JCSMR Higher Degree Research

Contact email: Jcsmr.hdr.sa@anu.edu.au

Taiyang and Loong PhD scholarships in Computational Biology (Australian applicants) @ ACT

Position title: Taiyang and Loong PhD scholarships in Computational Biology (Australian applicants)

Employer: The Australian National University

Closing date: 31 October 2022

Brief position description: We are seeking candidates to join the PhD program of the John Curtin School of Medical Research (JCSMR) at the ANU. Successful candidates will join the new Talo Computational Talent Accelerator of the JCSMR to apply knowledge and research skills from computer science to address biomedical problems. We offer PhD scholarships for intellectually curious and high-performing students with a thirst for cross-disciplinary learning and impact in health and biology. Over a four-year program, PhD scholars will engage in computational biology research at the JCSMR. The program will include focused training on Biology, Genomics, and Biological Data Analysis, as well as outreach activities to undergraduate and masters students. Additional soft-skill training will be available, with a special focus on effective partnerships with biomedical scientists. Besides the production of outstanding research and accomplishment of a PhD degree, the objectives of these PhD scholarships also include to: - Achieve an in-depth understanding of biomedical science and the ability to communicate across diverse backgrounds. - Understand biomedical problems and identify the right technology to address them. - Identify potential applications of new computational technologies to biomedicine that may produce new insights and advances in research and innovation. - Identify the translational applications of these technology developments. - Exposure to applications of computational technologies in industry and startup companies A list of potential PhD projects is available here: https://jcsmr.anu.edu.au/study/talo-computational-biology-talent-accelerator/potential-phd-projects More information about the research happening at JCSMR can be found here: https://jcsmr.anu.edu.au/ We recommend prospective candidates to contact first potential supervisors to prepare the application. Applications for International candidates (non-Australians) close on the 31st of August, applications for Australians close on the 31st of October.

Job website: http://www.anu.edu.au/study/scholarships/find-a-scholarship/taiyang-and-loong-phd-scholarship

Contact name: JCSMR Higher Degree Research

Contact email: Jcsmr.hdr.sa@anu.edu.au

Research Fellow - Klebsiella Genomic Surveillance and Sero-epidemiology @ VIC

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