Employer: Australian Genome Research Facility
Closing date: Sunday 25 August 2019
Brief position description: About us:
Australian Genome Research Facility (AGRF) is a not-for-profit organisation committed to quality and innovation. AGRF provides the gateway to a national network of essential genomic technology, expertise and innovation through our main laboratory operations located at the Victorian Comprehensive Cancer Centre in Melbourne, and laboratories located in Adelaide, Brisbane, Perth and Sydney,
We seek to empower Australia to be recognised for world-class genomics and innovation. By collaborating and sharing our knowledge and expertise, and providing local access to innovative and state-of-the-art genomic technologies, we enable Australian academia and industry to advance leading-edge genomic research internationally. We are a team of dependable, collaborative and innovative thinkers who are empowered to generate and deliver solutions to the scientific community.
About the role:
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 solutions for clients' research hypotheses and acting as Primary Analyst responsible for specific analysis. You will also provide support for internal and external training workshops, promote the service via liaison with external Bioinformatics groups and the life science community. As a team player you will support the optimisation of team operations and contribute to improving work efficiencies within the team.
•PhD or Masters in Bioinformatics, Computational Biology or an equivalent combination of experience and/or training
•Experience with common bioinformatics software for Next Generation Sequencing
•In-depth knowledge of and experience in high throughput sequencing data analysis
•Familiarity with basic concepts in biology
•Familiarity with research design and scientific methods
•Computer programming skills Linux/UNIX plus at least one of Python, Perl, R, shell scripting and/or other relevant languages
•Strong written and verbal communication skills
•Demonstrated ability to work effectively in a service role emphasising client satisfaction
•Demonstrated ability to handle tight deadlines and maintain high standards of work
Any of the following is desirable but not essential:
•Experience in working with job scheduling systems, such as SLURM, in HPC clusters
•Experience in teaching bioinformatics to life scientists
•Knowledge of working with version control systems such as Git, SVN
•Experience with analysing RNA-seq, GBS, exome/WGS, metagenomics
Attractive remuneration package on offer including 9.5% superannuation, salary packaging benefits and employee benefits discount program.
Job website: http://www.seek.com.au/job/39666898?_ga=2.243061511.445193512.1565824582-1683870033.1565311458
Contact name: Karen Jenkins
Contact email: firstname.lastname@example.org
Position title: Two positions - Research Associate/Fellow - Bioinformatics
Employer: Curtin University - Centre for Crop & DIsease Management
Closing date: 16/8/2019
Brief position description: Location: Perth
Centre for Crop and Disease Management (CCDM)/School of Molecular and Life Sciences (MLS)
Fixed term, full time until 22 June 2022
$88,135 - $118,115 (ALA /ALB) plus 17% Superannuation
Curtin University is ranked in the top 1% of universities worldwide (ARWU 2018 and QS World University Rankings 2019), and is placed 20th in the world for universities less than 50 years old (QS Top 50 Under 50 2019). Curtin is WA’s most preferred university, with highly engaged industry-facing partners. A major global player, with well-integrated campuses in Singapore, Malaysia, Mauritius and Dubai.
Centre for Crop and Disease Management (CCDM)
The Centre for Crop and Disease Management (CCDM) at Curtin University launched in April 2014 – a bilateral research agreement between the Grains Research and Development Corporation (GRDC) and Curtin University. The CCDM is a major investment in research training, crop disease-focussed research activity and infrastructure. The Centre includes a new high quality research facility at Curtin, used for research and development to sustainably reduce the impact of important grain pathogens and ultimately, to provide solutions to reduce the impact of diseases on farm business resilience. The Centre’s activities integrate molecular sciences with field-based agronomy to generate new avenues to breed disease resistant germplasm and to assist farmers to sustainably utilise a full range of disease control options. The CCDM has three themes of activity with several projects in each theme. There is strong interdisciplinary collaboration within the Centre and active collaboration with leading national and international scientists.
These positions sit within Research Theme B and Research Theme C, respectively.
Research Theme B – Cereal Diseases
Theme B of the CCDM focusses on cereal disease research and targets a range of costly and complex diseases of wheat and barley. Yield and economic losses of both of these crops remain a significant issue for the Australian grains industry. Theme B conducts pre-breeding research using biochemical, genetic and ‘omic’ approaches to help breeders develop disease-resistant varieties as an effective, long-term solution to crop disease control. Our researchers also explore the interaction of pathogens during co-infection and the resulting host responses.
Research Theme C – Canola and Pulse Diseases
Theme C of the CCDM, focuses on research into ascochyta blight of pulses and sclerotinia stem rot of canola and pulses. The successful candidate will work across projects involving the pathogens Ascochyta rabiei and Ascochyta lentis which infect chickpea and lentils, respectively, to identify sources of resistance and will develop links and work closely with breeding entities to ensure successful uptake and deployment of the identified sources of resistance in breeding programs. The successful candidate would also work closely with the broader CCDM bioinformatics team and Theme C colleagues to identify and characterize candidate effector genes of Ascochyta species. The successful candidate will present their research to colleagues in the centre and the field of research, as well as communicate their research to agronomists, growers and breeders.
Your new role
This rare opportunity is to work in a dynamic team of researchers to substantially improve yield stability for Australian grain growers.
These positions will be based at Bentley Campus, Perth Western Australia embedded with the School of Molecular and Life Sciences. The position will involve engaging with collaborators, industry partners both locally and internationally and developing funding proposals. This role may require some teaching activities.
What we offer you
The Faculty of Science and Engineering offers exciting career paths and trajectories including
conducting innovative work that will make real-world difference
interactions with and learnings from industry, government and academic partners
Curtin University offers a competitive remuneration and benefits package, a friendly and collaborative work environment, generous leave entitlements, flexible working arrangements, a relocation allowance, generous superannuation, salary-packaging arrangements including childcare, and the potential to support dual-career arrangements.
What we need from you
You are encouraged to respond specifically to the selection criteria:
Essential selection criteria:
Demonstrated ability to conduct innovative research in bioinformatics and/or computational biology
Demonstrated ability to develop experimental plans and pursue novel research approaches.
Ability to work with a broad range of people from varying research backgrounds and evidence of strong oral and written communication skills
Demonstrated commitment to publish the results of research in scientific journals.
Demonstrated ability to work independently under minimal supervision while contributing to overall team performance and proven ability to meet performance deadlines during the course of the project.
Preference will be given to applicants with desirable skills that include:
Experience with plant genetics and the development/utilization of mapping populations
Experience with the analysis of genomic and transcriptomic datasets
Experience with the identification and characterization of candidate fungal effector genes.
Job website: http://staff.curtin.edu.au/job-vacancies/?ja-job=49889
Contact name: Jo Monaghan
Contact email: CCDMAdmin@curtin.edu.au
Employer:University of Melbourne Centre for Cancer Research
Brief position description:We have a new opening for a Bioinformatician (PSC 8 - $103,409 -$111,927 p.a.).
## What would I be doing?
We are looking for a bioinformatician who will provide vital support to the [UoM Clinical Genomics Platform]: assisting with the flow of data through our systems, providing quality control assessments of sequencing data and helping to troubleshoot bottlenecks. You would help drive our ongoing WGS/WTS accreditation effort and be responsible for managing, analyzing and interpreting genomic data for accreditation, with corresponding documentation, and assess the DRAGEN environment using both HPC and cloud computing to improve our clinical reports. If you are interested in exploring large scale genomic data sets in a clinical setting (see [this paper] or [this poster] for typical examples) this might be the role for you. You will also have the opportunity to work with commercial partners at Illumina, AWS and Google as well as National Sequencing Initiatives to explore genomics data sharing technologies.
The team is inclusive and diverse, spans the whole range from biologists over bioinformaticians to software engineers, with junior and senior members. We collaborate with a number of international groups, e.g., the Broad Institute, Genomics England and global initiatives such as the Global Alliance for Genomics Health. This particular role will work in close collaboration with Illumina.
The role comes with 17% superannuation. We offer flexible working arrangements including working from home. Applications for part-time work are welcome!
Contact name:Oliver Hofmann
Employer: UNSW Sydney
Closing date: 11pm 15th August 2019
Brief position description: UNSW Medicine is a national leader in learning, teaching and research, with close affiliations to a number of Australia’s finest hospitals, research institutes and health care organisations. The UNSW Future Institute on Cellular Genomics has been established to represent a leading institute in single cell genomics in Australia and internationally. The institute is seeking a Postdoctoral Fellow who will be responsible for Analysis and modelling of single cell multi-omics in immuology related to the research in autoimmune disease and CAR T cells. The successful candidate will operate within the UNSW Future Cellular Genomics, and specifically at the Kirby Institute and the School of Medical Science, with active collaborations with close collaborators at the Garvan Institute.
The role involves both experimental and computational research activities, identifying opportunities for collaboration and funding and assisting the broader team with other research related duties. This position will focus on the development and application of single cell technologies including machine learning approaches) for analysing and interpreting muti-omics data of immune cells.
Job website: https://external-careers.jobs.unsw.edu.au/cw/en/job/497438/postdoctoral-fellow
Contact name: Fabio Luciani
Contact email: email@example.com
Post-doc position in bioinformatics at ULB: Genes and gene networks analysis related to root morphological response to nitrogen supply in Brassicaceae species
Employer: Universite libre de Bruxelles
Closing date: Applications must be received by August 1st 2019
Brief position description: One post-doc fellowship for non-Belgian resident (3 years) - as early as October 2019
Relevant experience: Arabidopsis - Brassica genomics, QTL mapping (association and linkage), ShoreMap, gene networks
Eligibility: Maximum 6 years after PhD, no more than 24 months residence in Belgium during the three last years
Mineral nitrogen (N) is the quantitatively most important nutrient in cropping systems. However, a considerable N fraction is lost through runoffs with detrimental consequences for the environment and human health. Increasing the plant N uptake by optimizing the degree of root branching for exploring a larger soil volume in search of the mobile nitrate resource may contribute to limit soil leaching. Oilseed rape (Brassica napus L.) is a major oil crop showing whose production highly dependents on N fertilization. The project aims at understanding the genetic control of root system architecture and how it is impacted by N nutrition. A measurable outcome will be to provide genetic markers for selecting new crop genotypes with positive root morphological features.
Enthusiastic researchers meeting these criteria (only those with previous experience in bioinformatics will be considered) are kindly invited to contact Christian HERMANS (firstname.lastname@example.org). Include your CV, qualifications and the names of two academic referees whom I can approach prior to appointment.
Contact name: Christian Hermans
Contact email: email@example.com
Closing date:15th July 2019
Brief position description:We are inviting applications for 4 funded PhD positions to develop whole-cell mathematical simulation models for Bacillus subtilis. If you are interested in multidisciplinary research and have relevant undergraduate and masters degrees in the life sciences, engineering, mathematics, statistics, physics, or computer science this is an excellent opportunity to embark on a research career in a world-leading, friendly and supportive computational biology research environment.
Understanding and being able to explain and predict the behaviour of Bacillus subtilis is of fundamental importance. But mathematical models are also essential for synthetic biology and biotechnology. For example, we need mathematical simulation models to design B. subtilis strains that help us tackle the effects of global warming and pollution. These four PhD projects will jointly work towards such a model:
1. Biological text-mining and knowledge representation
2. Statistical bioinformatics and bacterial genomics
3. Modelling of biophysical processes and cell cycle dynamics
4. Modelling of gene regulation and metabolic networks
You will join a thriving and collaborative community at the University of Melbourne. We are particularly keen to have a diverse cohort of researchers, who want to contribute to this environment. This is a perfect opportunity to engage in exciting and multidisciplinary research, and actively shape the future of systems, synthetic and computational cell biology.
Please address your questions and inquires to firstname.lastname@example.org
To apply please send your application including Cover Letter, CV, final transcripts (where available), and the details of two referees to email@example.com the 15th of July.
We can assist international students with their relocation expenses.
Contact name:Michael Stumpf
Employer: UTS / Faculty of Science/The ithree institute and School of Life Science
Closing date: 23rd July, 2019 at 11:59pm (AEST)
Brief position description:
At UTS, the concepts of equity and social justice are key to our core and purpose – we are recognised widely as supporting inclusivity and valuing diversity. Cited as a Workplace Gender Equality Agency Employer of Choice since the inception of the award, we are now among the first Australian institutions to receive the Athena SWAN Bronze Accreditationfor our commitment to action addressing gender equity in the STEMM disciplines. UTS Equal Futurescelebrates and supports women in academia through every stage of their career.
The Faculty of Scienceaims to ensure equitable representation in all occupational categories and in all levels of its workforce. In an effort to eliminate employment barriers we especially encourage applications from suitably qualified individuals from culturally and linguistically diverse backgrounds, from individuals with primary carer responsibilities, from Aboriginal and Torres Strait Islander candidates and from female candidates.
This is a fantastic opportunity for early-career academics specialising in bioinformatics to join a dynamic team of excellent scientists in The ithree institute within the Faculty of Science. This research-intensive role will provide you with the scope to hone your research and pedagogical skills and afford you the opportunity to work alongside and be mentored by, world-class life sciences scholars. We are really looking forward to helping you develop your career with us.
About the role
We are seeking to add breadth and depth to our current strength in bioinformatics through appointment of two new research-intensive Lecturers with expertise in bioinformatics and computational biology. You will be a core member of i3.
The roles carry a 20% teaching load focused on aspects of applied bioinformatics, microbiology, genetics, genomics, data analysis, and reproducible research teaching into relevant degree programs in the Faculty of Science. After three years the position defaults to a 40% teaching, 40% research workload.
Successful candidates will have a strong research background in bioinformaticsand computational biologythat aligns well with the existing research strengths in the UTS ithree institute(Infection, Immunity, and Innovation) in particular around genomic epidemiology, metagenomics, phylogenetics, transcriptomics,proteomics, machine learning, and microbiology.
To be successful in securing a role you will also have:
· A PhD or equivalent in a field relevant to the teaching and research scope of the position.
· Demonstrated experience in teaching and learning at undergraduate and/or course-taught postgraduate levels, including evidence of positive student learning outcomes
· Ability to develop research-led and industry-linked undergraduate or course-taught postgraduate curriculum in the Faculty.
· Demonstrated experience of managing higher degree students (with timely completions) and evidence of supporting their professional development for future success.
· A nationally or internationally competitive research track record in bioinformatics and computational biology as described above.
· Ability to gain external research funding and conduct successful research in bioinformatics;
· Demonstrated ability to carry out advanced computational analyses of biological data, including the development of new methods and algorithms and their implementation in software.
In return, you will get to work in state-of-the art teaching, learning and research facilitieswith a collaborative cohort of academics. You will receive solid support from the UTS in regard to research and you will have excellent opportunities to conduct research with reputed scholars from across the University through interdisciplinary research centres at UTS.
Remuneration & Benefits
Base Salary Range:$103,981 to $123,067 pa (Level B)
This role attracts 17% superannuation (pension) in addition to the base salary.
UTS staff also benefit from a wide range of Employee Benefitsinclude flexible work practices, child care centres, generous parental leave and salary packaging opportunities.
This position is full time and appointment will be made on a continuing basis
How to Apply
For the full list of the selection criteria and role responsibilities please click the apply link and download the Position Statement from the UTS website.
UTS is committed to diversity and inclusion in our workforce and we encourage applicants where relevant to include a relative to opportunity or career disruption/break statement within their CV
You are required to address the selection criteria in your submission, in a separate document.
Only those applications submitted via the UTS online recruitment system will be accepted. Current UTS employees should apply through their UTS Employee Self Service function.
As you will be unable to save your application once started, please have all required documents and information available prior to commencing.
Please ensure that the file name for each document submitted includes IRC135256.
Specific enquiries or issues with your application may be directed to the UTS Recruitment Team at firstname.lastname@example.org or on +61 (0) 2 9514 1080.
Job website: https://www.uts.edu.au/staff/jobs-uts/working-uts
Contact: Specific enquiries or issues with your application may be directed to the UTS Recruitment Team at email@example.com or on +61 (0) 2 9514 1080.
Employer:Garvan Institute of Medical Research
Closing date:Open until filled
Brief position description:We are currently seeking a Bioinformatician to work with members of the Single Cell and Computational Biology to support computational research activities across the following areas:
* Population genetics meets single cell sequencing
* Resolving the genetic mechanisms of complex human disease using stem cells
* Clinical translation of single cell sequencing for diagnosis and precision medicine
The role will involve curation, management, and analysis of high-throughput genomic data and patient medical records. In addition to supporting the research activities of other group members, opportunities will be made available to pursue and publish leading research.
Contact name:Jessica Su
Employer: Molecular Cardiology Program, Centenary Institute, Sydney NSW
Closing date: 5th July 2019
Brief position description: This role will lead research focused on understanding the genetic causes of inherited heart diseases. You will assist with the analysis and interpretation of genomic sequencing data generated within the Molecular Cardiology Program and the Australian Genomics Cardiovascular Genetic Disorders Flagship. This role will include analysis of genomic data such as exome, genome and RNA-Seq, and facilitate interpretation of the data to researchers within the Molecular Cardiology Program and wider research network.
Job website: http://www.seek.com.au/job/39255277
Contact name: Richard Bagnall
Contact email: firstname.lastname@example.org
Employer: Walter and Eliza Hall Institute
Closing date: 11/6/2019
Brief position description: The successful candidate will provide bioinformatics support for the study of the development and function of blood cells. This role will include genomics data analysis such as RNA-Seq, Single Cell Sequencing and ChIP-Seq, and as well as imaging analysis, as part of a range of projects within the lab.
You will support the genomics and imaging data analysis 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 software and approaches to enable haematopoietic research. This role will include genomics data analysis such as RNA-Seq, Single Cell Sequencing and ChIP-Seq, as well as imaging analysis.
Honours / Masters Degree in a computational discipline relevant to bioinformatics and cellular genomics (bioinformatics, statistics, machine learning, computer science, applied mathematics, physics or similar) and proficiency in one or more of R, Python, C++, Java, Perl and/or SQL computer programming and scripting languages is essential. You will have a demonstrated ability in the use of Unix-based systems, and experience in data analysis and management.
Ideally you will have 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, genetics, imaging, computational biology or bioinformatics will enhance your success in the role. Exposure to the statistical analysis of large-scale human and/or mouse genomic datasets will be highly regarded.
Job website: http://www.wehi.edu.au/bioinformatics-research-technician-hilton-lab
Contact name: Carolyn de Graaf
Contact email: email@example.com