Position title: Clinical Bioinformatician
Employer: Neuroscience Research Australia
Closing date: 5PM Wednesday 5th February
Brief position description: This position will support the molecular genetics laboratory, Mackenzie's Mission and the CRE-NCD by assisting with clinical cloud-based bioinformatics requirements for the analysis of next generation sequencing (NGS) data, implementation and maintenance of bioinformatics pipelines around design, performance, validation and quality control. The clinically targeted NGS panels, exomes or genomes and bioinformatics pipelines require embedded bioinformatic expertise. NGS data analysis using computer programming and Unix-based servers is required. This is also largely a development role, so experience with front-end and back-end development and working with Amazon Web Services is desirable The successful candidate will be working closely with wet lab scientists, clinicians, pathologists, genomic analysts, and other bioinformaticians/software developers.
We are seeking an experienced and motivated development Bioinformatician interested in applying their skills in a clinical setting and able to work both independently and as part of a team. This is a full time position for two years.
Job website: https://www.seek.com.au/job/40675630?type=standard#searchRequestToken=6cf8acc7-3a6b-46a4-97e0-5ca79f2d6690
Contact name: Tony Roscioli
Contact email: Tony.Roscioli@health.nsw.gov.au
Postdoctoral Research Officer - DNA Repair and Recombination @ Melbourne
Employer: St Vincent's Institute of Medical Research
Closing date: 14 February 2020
Brief position description: Facility
St Vincent’s Institute (SVI) www.svi.edu.au is an internationally recognized independent research organization, based on the St Vincent’s Hospital Campus on the edge of Melbourne’s CBD. The Institute has a dedicated team of over 150 staff and students, who are committed to improving the health and life-expectancy of Australians. We focus on common diseases that represent major health issues for Australians today, including infertility, diabetes, bone diseases, cancer, cardiovascular disease, obesity and Alzheimer’s disease. With an exceptional pool of talented researchers and a growing number of state-of-the-art facilities, we are enthusiastic about the future.
Laboratory & Research Focus:
The DNA Repair and Recombination Laboratory is an established research group at SVI, focused on understanding the genetic control of DNA repair and recombination. Our vision is to translate basic knowledge of DNA repair pathways into treatments for infertility, bone marrow failure syndromes and cancer. Our team is a dynamic research environment with 13 members (senior scientists, postdocs, post-graduate students, RAs) who all share a passion for research and having fun along the way.
Position
We are seeking a self-motivated and passionate postdoctoral Researcher to join the DNA Repair and Recombination Laboratory team headed by Dr Wayne Crismani. This role will manage a project focused on genetics, meiotic crossover formation and leveraging the power of single cell sequencing in gametes. The incumbent will work primarily as a wet-lab scientist, however, they will work closely with research bioinformaticians and statisticians for all experimental stages from planning through to data analysis.
Our laboratory has made significant advances already on the project and a driven post doc will have ample opportunities for high quality publications in broad interest journals plus those with a focus in genetics and method development.
The successful appointee will have a PhD (or equivalent) focused on genetics and molecular biology. A strong understanding of Mendalian genetics and breeding strategies is essential.
The appointee will be highly organised, excellent at maintaining laboratory records and a clear communicator. Applicants whose first language is not English are welcome to provide supporting documentation such as IELTS or TOEFL scores.
Salary: commensurate with experience ranging from $85,000 to $91,911 per annum, plus 9.5% superannuation and generous $15,900 FBT exempt salary packaging.
Position Descriptions: https://www.svi.edu.au/careers_students/careers/current_vacancies
Further information: Dr Wayne Crismani wcrismani@svi.edu.au
To apply: All applications addressed to Dr Wayne Crismani should include the following:
- Current CV (2 page maximum); and
- Cover letter addressing the selection criteria (1 page maximum).
Job website: http://www.seek.com.au/job/40774713?
Contact name: Dr Wayne Crismani
Contact email: wcrismani@svi.edu.au
Postdoctoral Clinical Bioinformatician @ Sydney
Employer: Centenary Institute
Closing date: 31st January 2020
Brief position description: We are seeking a bioinformatician to join our highly productive team to investigate the genetic causes of inherited heart disease. This position will assist research studies within the Molecular Cardiology Program and the Australian Genomics Cardiovascular Genetic Disorders Flagship. The role will involve analysis of exome, genome and RNA-Seq data to facilitate translation of genomics to the clinical care of families with inherited heart disease. The successful applicant will work closely with wet-lab scientists, clinicians, genetic counsellors and bioinformaticians. Proficiency in one or more computer programming and scripting languages is essential. You will have demonstrated ability in the use of Unix-based systems and high-performance computing clusters, and experience in genomic data analysis and management.
Job website: http://www.seek.com.au/job/40753739?_ga=2.133003150.1090400154.1579140193-502531155.1574214385&_gac=1.237702708.1578360178.EAIaIQobChMI7uHA66nw5gIV2jUrCh1GJA2SEAAYASAAEgKlQfD_BwE
Contact name: Richard Bagnall
Contact email: r.bagnall@centenary.org.au
Research Fellow - Genetic Epidemiology @ Melbourne
Employer: The University of Melbourne
Closing date: Extended closing date 28/1/2020
Brief position description: We are seeking a highly motivated post-doctoral researcher with expertise in genetic epidemiology to join the research program of Dr Sarah Dunstan at the Doherty Institute, which focuses on the human and pathogen genomics of infectious diseases. Our research utilises genomic technology to interrogate pathogen and host genome variation in tuberculosis and typhoid fever, to acquire critical new knowledge that can be exploited to develop essential new tools for disease control.
The overall objective of the position is to investigate tuberculosis and typhoid fever, by focusing on human genetic susceptibility to disease and vaccination, as well as integrated approaches of host-pathogen genomic analysis. The research fellow would be required to work on existing and future datasets generated by the Dunstan group, using a range of statistical and computational methods. These datasets are aligned to a number of large-scale collaborative projects which will require the applicant to work with colleagues in Australia and internationally.
Job website: http://jobs.unimelb.edu.au/caw/en/job/901714/research-fellow-genetic-epidemiology
Contact name: Sarah Dunstan
Contact email: sarah.dunstan@unimelb.edu.au
Research Officer @ Melbourne
Employer: St Vincent's Institute - Medical Research
Closing date: COB Friday, 14 February 2020
Brief position description: We are seeking a motivated and successful postdoctoral Researcher to manage an independent project in single-cell genetics, developing new computational methods and open-source software to enable cloud-scale analyses of single-cell data. You will implement statistical and machine learning approaches and coordinate the processing and analysis of ‘omic data, specifically related to recombination in meiosis and DNA repair, as well as identifying opportunities to customise more efficient workflows and methods where warranted.
The position also plays an important role in the overall performance and scientific activities of the laboratory as you will contribute to publications, assist in the supervision of students and present at seminars and lab meetings. The researcher will also have an organisation-wide responsibility in collaborating closely with the researchers of the wet-lab laboratories, providing computational expertise on experimental design and data analysis in specific cases.
The successful incumbent will have a PhD (or equivalent) in a computational discipline relevant to bioinformatics and cellular genomics (bioinformatics, statistics, machine learning, computer science, applied mathematics, physics or similar) and possess advanced skills in using computer programming and scripting in R or Python and, ideally, familiarity with one or more of Julia, C++, Go, Nim, Rust, Java, Perl or SQL programming languages. You will have a demonstrated ability in the use of Unix-based systems, computing clusters and related queuing systems and in large-scale data analysis and management. Ideally you will have prior experience working in high-performance computing environments, including academic and/or commercial cloud computing platforms and experience using bioinformatics workflow management software (e.g. Snakemake, Nextflow, WDL). Your track record in bioinformatics, genomics, computational biology or other relevant quantitative fields will be evidenced by high-quality publications. Demonstrated experience developing open-source software and reproducible data analyses will be highly regarded.
Job website: http://www.seek.com.au/job/40742290?
Contact name: Dr Davis McCarthy
Contact email: dmccarthy@svi.edu.au
Research Assistant @ Melbourne
Employer: St Vincent's Institute - Medical Research
Closing date extended: COB 5 February 2020
Brief position description: We are seeking a talented Research Assistant to support the clinical imaging (breast-cancer screening) and single-cell genetics research of the laboratory. Playing a key role alongside the senior scientists, you will carry out a range of supervised work activities across a variety of projects using computational methods, approaches and software to enable clinical imaging and single-cell genetics research.
The successful incumbent will have a Honours Degree in a computational discipline relevant to bioinformatics and cellular genomics (bioinformatics, statistics, machine learning, computer science, applied mathematics, physics or similar) and have proficiency in one or more of R, Python, Julia, C++, Go, Nim, Rust, Java, Perl and/or SQL computer programming and scripting languages. You will have a demonstrated ability in the use of Unix-based systems, computing clusters and related queuing systems and experience in data analysis and data management.
Ideally you will have prior experience working in a high-performance computing environment where you have developed expertise in statistics and/or machine learning. Prior exposure to research in genomics (ideally single-cell genomics), genetics, computational biology, bioinformatics or image analysis will enhance your success in the role. Exposure to the statistical analysis of large-scale human and/or mouse genomic and/or clinical imaging datasets will be highly regarded.
Job website: http://www.seek.com.au/job/40741955?
Contact name: Dr Davis McCarthy
Contact email: dmccarthy@svi.edu.au
Casual data scientist/bioinformatician @ Melbourne
Employer: St Vincent’s Institute of Medical Research
Closing date: 24-01-2020
Brief position description: Details
This casual position for a data scientist/bioinformatician is at St Vincent's Institute of Medical Research. Your role will be in a dynamic research team focused on serious human diseases such as cancer and rare genetic conditions.
The job will primarily involve tidying data and data frame manipulation into a form that is ready to analyse. There is scope for data analysis too such as building weighted scoring models and other interesting biological problems.
The position will be casual part time over summer with an immediate start. Depending on the candidate and the project there may be scope for some work in the future. Initially it is anticipated that this project will require up to the equivalent of two weeks full time for completion.
Essential selection criteria:
Successful completion of 2nd or 3rd year of a data science or bioinformatics degree or similar with a WAM > 75
Proficient in an appropriate computer language such as R or Python
Familiarity with the concept of tidy data
Applications will be considered as they are received. Please use the word 'random' in your cover letter to demonstrate attention to detail.
Residency Requirements
All candidates considered including international students
Application procedures
To apply, please send an academic transcript, CV (one page max) and brief cover letter (1-2 paragraphs) on why you would be suited to this position. Please submit all documents as one PDF in the format LASTNAME_2020_ANALYST
Salary
$32.65/hr plus superannuation
Job website: http://Www.Svi.edu.au
Contact name: Wayne Crismani
Contact email: wcrismani@svi.edu.au
Bioinformatician @ AGRF Australia
Employer: Australian Genomics Research Facility
Closing date: Monday 27 January 2020
Brief position description: We are seeking a motivated and talented Bioinformatician to join our highly skilled Bioinformatics team. In this full-time, 12 month contract role of Bioinformatician, you will report directly to the Bioinformatics Manager and support AGRF's national bioinformatics capability through delivering innovative and tailored bioinformatics solutions for clients' research hypotheses and acting as the primary analyst responsible for long read and single cell analysis. You will also provide support for internal and external training workshops. As a team player you will support the optimisation of team operations and contribute to improving work efficiencies within the team. This position can be located in Melbourne or Brisbane.
Job website: http://www.agrf.org.au/careers
Contact name: Karen Jenkins
Contact email: Karen.Jenkins@agrf.org.au
Postdoc in Statistical Bioinformatics and Proteomics @ Melbourne
Employer: Walter and Eliza Hall Institute of Medical Research
Closing date: 20 January 2020
Brief position description: An excellent opportunity exists for a talented postdoctoral Statistical Bioinformatician/Scientist to join the Walter and Eliza Hall Institute of Medical Research (WEHI) in a joint appointment between the Colonial Foundation Healthy Ageing Centre (CFHAC) and the Bioinformatics Division.
About the position
The WEHI and the Royal Melbourne Hospital have come together to create the CFHAC to lead the complex change necessary to deliver the next generation diagnostics for ageing related disease within Victoria’s healthcare system. The newly founded Centre headed by Associate Professor Andrew Webb brings together clinicians, pathologists and researchers from hospitals and research centres to apply the latest knowledge and technologies to transform the clinical discovery process and rapidly translate discoveries into clinical utility.
The position will be part of the CFHAC and will be jointly supervised by Professor Gordon Smyth. The Smyth Lab develops statistical methodology and computational algorithms for analysing genomic and proteomic data, with a view to understanding gene expression patterns and gene regulatory mechanisms. WEHI’s bioinformatic division has an excellent international reputation and the Smyth Lab is well known for developing widely used bioinformatics methodology including limma, edgeR, csaw, diffHic and Rsubread.
The appointee will work closely with the Bioinformatics and CFHAC team to develop novel statistical bioinformatic methods for processing, interpreting and analysing large-scale proteomic datasets to facilitate biological discoveries related to ageing and disease. The appointee will particularly develop analysis pipelines appropriate for the latest time-of-flight mass spec technology and apply these pipelines in collaborations with the clinical partners of the CFHAC for implementation into clinical diagnostics.
The position would suit a PhD graduate in a relevant discipline such as statistics, mathematics, computer science, computational biology or genetics. The appointee will have solid mathematical training as well as strong programming and data analysis skills. Familiarity with statistical bioinformatics software such as R and Bioconductor would be an advantage. Prior experience in genomic or proteomics research is not essential, but the applicant must be highly motivated to work on problems in medical biology.
Terms of appointment
This position will be available for 2 years in a full-time capacity. Salary is Academic Level A (AUD90,053 - 96,661 per year, dependent upon qualifications and experience) for Research Officer, and Academic Level B (AUD101,756 - 120,828 per year, dependent upon qualifications and experience) for Senior Research Officer. Up to 17% superannuation and very attractive salary packaging options are available.
How to apply
Applications should include a cover letter, current resume, a document addressing the key selection criteria and contact details of three referees. Please email your application in PDF format to jobapplications@wehi.edu.au quoting reference WEHI/DAGS in the subject line if you wish to apply for the Research Officer (Level A) position or WEHI/DASRO if you wish to apply as a Senior Research Officer (Level B).
Job website: https://support.bioconductor.org/p/126114/
Contact name: Gordon Smyth
Contact email: smyth@wehi.edu.au
Research Fellow - Genetic Epidemiology @ Melbourne
Employer: The University of Melbourne
Closing date: 16/1/2020
Brief position description: We are seeking a highly motivated post-doctoral researcher with expertise in genetic epidemiology to join the research program of Dr Sarah Dunstan at the Doherty Institute, which focuses on the human and pathogen genomics of infectious diseases. Our research utilises genomic technology to interrogate pathogen and host genome variation in tuberculosis and typhoid fever, to acquire critical new knowledge that can be exploited to develop essential new tools for disease control.
The overall objective of the position is to investigate tuberculosis and typhoid fever, by focusing on human genetic susceptibility to disease and vaccination, as well as integrated approaches of host-pathogen genomic analysis. The research fellow would be required to work on existing and future datasets generated by the Dunstan group, using a range of statistical and computational methods. These datasets are aligned to a number of large-scale collaborative projects which will require the applicant to work with colleagues in Australia and internationally.
Job website: http://jobs.unimelb.edu.au/caw/en/job/901714/research-fellow-genetic-epidemiology#.Xe8I0nHoHo8.twitter
Contact name: Sarah Dunstan
Contact email: sarah.dunstan@unimelb.edu.au