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
Research Fellow - Klebsiella pneumoniae genomics and metabolic modelling @ Melbourne
Employer: Monash University
Closing date: January 5th 2020; 11:55pm AEDT
Brief position description: An exciting opportunity exists for a post-doctoral researcher to join the Department of Infectious Diseases at Central Clinical School, Monash University. The appointee will use computational biology approaches to investigate the metabolic diversity of Klebsiella pneumoniae, a World Health Organization priority pathogen. K. pneumoniae is a ubiquitous bacterium that can inhabit a broad range of hosts and environmental niches. It is also extremely diverse with access to a gene-pool of more than 100,000 genes, at least a third of which are predicted to encode proteins with metabolic functions. This is of particular interest because metabolic capacity is considered a key driver of niche preference and the ability to cause disease in different hosts or body sites. However, little is known about metabolic variation in this species. In collaboration with researchers at the University of California San Diego (USA) and Institut Pasteur (France) we aim to address this knowledge gap and develop a first-of-a-kind population metabolism framework for K. pneumoniae. The appointee will contribute directly to this project by combining the power of large-scale comparative genomics analyses with state-of-the-art genome-scale metabolic modelling.
This genomics-focused position is suitable for an individual with strong undergraduate and graduate training in a relevant area of biology (molecular biology, genetics, microbiology, biochemistry, evolutionary biology) as well as demonstrated skills and/or training in a quantitative discipline (statistics, computing, mathematics). The ideal candidate will have experience working with high-throughput genomic data from bacteria. Previous experience in genome-scale metabolic modelling is helpful but not required.
The appointee will be supervised by Dr Kelly Wyres and Professor Kathryn Holt, and based within the laboratory of Professor Holt (http://holtlab.net) in the Department of Infectious Diseases, located at the Alfred Medical Research and Education Precinct. The appointee will interact with research scientists, students and administrative staff of Monash University; and collaborate closely with other members of the laboratory and international collaborators. They will also have the opportunity to attend overseas conferences.
Job website: http://careers.pageuppeople.com/513/cw/en/job/601348/research-fellow
Contact name: Kelly Wyres
Contact email: kelly.wyres@monash.edu
Senior Bioinformatician @ Newcastle
Employer: Hunter Medical Research Institute
Closing date: Friday 3 January 2020
Brief position description: Hunter Medical Research Institute (HMRI) are broadening our research scope and funding opportunities and are now looking for a Senior Bioinformatician to support the Bioinformatics and integrated data services.
About the Role
The Senior Bioinformatician will consult with researchers and clinicians in the design, implementation, analysis and seamless delivery of bioinformatics services to support cutting-edge medical research activities at HMRI. Working closely with the Senior Bioinformatics and Integrated Data Analyst, this role is responsible for integrating high throughput sequencing data with clinical, imaging and multi-omics.
Specifically, this role will:
* Perform quality control, assembly, annotation, and analysis of high throughput next generation multi-omics data;
* Apply and develop computational biology techniques to the analysis of these and other large medical datasets;
* Develop bioinformatics data analysis pipelines in standalone machines and high-performance computing clusters, including cloud computing;
* Collaborate with researchers in the design, testing and quality control of analytical approaches.
What you’ll need to succeed
* Post-graduate/doctoral qualifications in computer science, statistics, mathematics or engineering with a background in applied bioinformatics and extensive relevant experience.
* Demonstrated experience in the application of state-of-the-art tools and techniques for bioinformatics analysis.
* Advanced knowledge of biological cellular processes at the molecular level and current measurement techniques capabilities and limitations.
* Demonstrated ability in working collaboratively in a multidisciplinary environment to answer complex research questions.
* Project management skills, including ability to prioritise multiple deadlines and managing client expectations.
* Strong written and verbal communication skills, including high quality reporting and presentation skills.
* Demonstrated experience in consulting within the biomedical industry or government.
This position is offered on a full-time, fixed-term three-year contract (with the possibility of renewal subject to availability of funding).
How to Apply
A position description can be obtained at www.hmri.org.au/careers.
All applications should be forwarded to recruitment@hmri.org.au and must include a cover letter, current resume including at least two (2) work-related referees, and responses to all of the selection criteria outlined above.
Please note that applications that do not address the selection criteria will not be considered.
Only candidates with the right to work in Australia may apply for this position.
Applications close: Friday 3 January 2020
Job website: http://www.seek.com.au/job/40326966?_ga=2.38880673.324315406.1575240896-1443467767.1565586304
Contact name: Michelle Gillam
Contact email: michelle.gillam@hmri.org.au