Position title: Research Associate - Phylogenetics
Employer: University of Technology Sydney
Closing date: Wednesday 4th March 2020
Brief position description: • Early career research role
• Full-time / part-time flexibility
• Base Salary PLUS 17% superannuation
About the role
In this role you will be tasked with developing and publishing novel theorems regarding statistical efficiency, producing high quality publications, and delivering presentations at research seminars and international conferences. You may also have the opportunity to engage in tutorial development and delivery.
Working alongside experts in the field, this is an ideal opportunity for an early career researcher to contribute to collaborative and innovative research while developing and enhancing their own research profile.
About you
You will have previous research experience in data science with solid skills in Bayesian statistics and computational statistics (Monte Carlo methodology, sequential Monte Carlo, Markov chain Monte Carlo). You will have a strong writing ability demonstrated by a developing track record of peer reviewed publications.
You will also have:
• Skills in programming languages such as R and python
• A PhD degree in statistics, mathematics, physics, computer science, engineering or a related quantitative field.
A demonstrated interest in further developing skills in HPC and cloud computing; and applying quantitative skills to biological problems related to the field of phylogenetics and evolutionary biology would be highly regarded.
More information and a position statement are available on the UTS website.
Job website: http://bit.ly/380J5oK
Contact name: Mathieu Fourment
Contact email: Mathieu.Fourment@uts.edu.au
Bioinformatician in Computational Functional Genomics @ New South Wales
Position title: Bioinformatician in Computational Functional Genomics
Employer: Children’s Medical Research Institute (CMRI)
Closing date: Friday 28th February 2020
Brief position description: We are seeking a qualified Bioinformatician / Data Scientist to join the Functional Genomics program. This role will involve supporting researchers from the CMRI and collaborating institutions in the analysis of multi-omic data of rare genetic diseases, disease modelling and single-cell analytics. The successful applicant will have opportunities to explore and interrogate a diverse range of data, including genomics, epi-genomics, transcriptomics, and clinically relevant sequence data. Additionally, the successful applicant will work alongside highly experienced research data scientists/bioinformaticians.
Children’s Medical Research Institute (CMRI) was Australia’s first dedicated paediatric research facility and is one of the nation’s most highly regarded independent medical research centres. Our research focuses on embryonic development, cancer, neuroscience and gene therapy and we have a strong international reputation based on our research outcomes. CMRI’s research programs are supported by state of the art facilities and committed research and support staff. Our achievements are made possible by a loyal network of community supporters, highly engaged donors and the very successful Jeans for Genes® fundraising campaign.
Job website: http://www.cmri.org.au/getattachment/About-Us/Job-Vacancies-and-Careers/Bioinformatician,-Computational-Functional-Genomics-(PV2005).pdf.aspx?lang=en-AU
Contact name: Patrick Tam
Contact email: ptam@cmri.org.au
Research Fellow - Klebsiella pneumoniae genomics and metabolic modelling @ Melbourne
Position title: Research Fellow - Klebsiella pneumoniae genomics and metabolic modelling
Employer: Monash University
Closing date: February 29 2020
Brief position description: We are recruiting a Research Fellow to work on an exciting new project exploring metabolic diversity in Klebsiella pneumoniae, a World Health Organization priority pathogen. The appointee will use a combination of comparative genomics and genome-scale metabolic modelling approaches to investigate how metabolic capabilities are distributed in the K. pneumoniae population.
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, indicating that metabolic capability varies substantially between strains. 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.
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, with experience in using command-line programs, as well as writing and troubleshooting code in Python and/or similar programming languages. Previous experience in genome-scale metabolic modelling is helpful but not required.
The appointee will be supervised by Dr Kelly Wyres and Prof Kathryn Holt; will interact with research scientists, students, and administrative staff of Monash University; and collaborate closely with other members of the laboratory, the Department, and international collaborators at the University of California San Diego (USA) and Institut Pasteur (France).
12 month fixed-term appointment with possibility for extension.
Job website: http://careers.pageuppeople.com/513/cw/en/job/601348/research-fellow-klebsiella-pneumoniae-genomics-and-metabolic-modelling
Contact name: Kelly Wyres
Contact email: kelly.wyres@monash.edu
Bioinformatician in Computational Functional Genomics @ New South Wales
Employer: Children's Medical Research Institute
Closing date: 28/02/2020
Brief position description: We are seeking a qualified Bioinformatician / Data Scientist to join the Functional Genomics program. This role will involve supporting researchers from the CMRI and collaborating institutions in the analysis of multi-omic data of rare genetic diseases, disease modelling and single-cell analytics.
Job website: https://www.cmri.org.au/About-Us/Job-Vacancies-and-Careers
Contact name: Paulina Baranowski
Contact email: pbaranowski@cmri.org.au
Biostatistician- ProCan @ New South Wales
Employer: Children's Medical Research Institute
Closing date: 21/02/2020
Brief position description: A Biostatistician position is available in the ProCan Cancer Data Science Group, led by Dr. Qing Zhong. ProCan (the ACRF International Centre for the Proteome of Human Cancer) is a world-first initiative developed and launched in September 2016 by Professors Phil Robinson and Roger Reddel, and established with a $10 million grant from the Australian Cancer Research Foundation (ACRF). Equipped with six SCIEX mass spectrometers and a super computer (800TB / 480 cores), ProCan processes tumour samples through a proteomic method, SWATH-MS, which allows fast mass spectrometric conversion of small amounts of tissue (biopsy level) into a single, permanent digital file representing the quantitative proteome of the sample.
Job website: https://www.cmri.org.au/About-Us/Job-Vacancies-and-Careers
Contact name: Paulina Baranowski
Contact email: pbaranowski@cmri.org.au
Clinical Bioinformatician @ Sydney
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