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ABACBS (pron.ˈabəkəs) runs the Australian Bioinformatics Network

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Sunday
May142017

Research Fellow in Computational Systems Biology - Systems Biology Laboratory, University of Melbourne

Salary: $66,809* – $90,657 p.a. Level A (*PhD Entry Level $84,458 p.a.) or $95,434 – $113,323 p.a. Level B

The Research Fellow will be supervised by Prof. Edmund Crampin, in collaboration with other investigators in the ARC Centre of Excellence in Convergent Bio-Nano Science & Technology.

Start date negotiable, although available to start immediately. Appointment will be initially for two years, with possibility of renewal contingent on satisfactory performance, progress in carrying out the assigned duties, and mutual agreement. Salary is commensurate with experience. Applications can be submitted through the University of Melbourne website (links below) however informal enquiries can be directed to Professor Edmund J. Crampin (email: edmund.crampin@unimelb.edu.au).

You will develop standards and approaches for integrative computational modelling to understand the interactions between nano-scale materials and cells. As part of a highly interdisciplinary and collaborative team at the ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, and across several Australian universities, the project aims to better understand and hence predict how properties of nano-engineered particles for drug delivery determine cellular recognition, uptake and processing. Knowledge of systems biology standards, databases and use of computational modelling to interpret experimental data would be advantageous, along with confidence and willingness to bring mathematical and computational approaches into a highly collaborative research cluster.  

DEADLINE: 14 May 2017
University of Melbourne Job no: 0043121
http://jobs.unimelb.edu.au/caw/en/job/890565/research-fellow-in-computational-systems-biology

Sunday
May142017

Research Fellow in Energy-based Systems Biology - Systems Biology Laboratory, University of Melbourne

Salary: $66,809* – $90,657 p.a. Level A (*PhD Entry Level $84,458 p.a.) or $95,434 – $113,323 p.a. Level B

The project will be supervised by Prof. Edmund Crampin and Prof. Peter Gawthrop (Melbourne School of Engineering).

Start date negotiable, although available to start immediately. Appointment will be initially for two years, with possibility of renewal contingent on satisfactory performance, progress in carrying out the assigned duties, and mutual agreement. Salary is commensurate with experience. Applications can be submitted through the University of Melbourne website (links below) however informal enquiries can be directed to Professor Edmund J. Crampin (email: edmund.crampin@unimelb.edu.au).

The Research Fellow will undertake research to develop an energy-based approach to modelling cellular processes. Most current systems biology models consider networks of biochemical reactions in terms of fluxes, or reaction rates. This provides a very incomplete description as it ignores the flow of energy through the system. Energy is fundamental to all biological systems and processes. The aim of the research project is to develop new approaches with which to represent energy flows in biochemical processes, in addition to fluxes, using bond graphs. In particular this approach will be applied to analysis of heart cells, as part of the ‘cardiac cell physiome’ project. Desirable skills include experience working with large systems of nonlinear ODEs, knowledge of and interest in thermodynamics, familiarity with markup languages (such as CellML and SBML).

DEADLINE:  14 May 2017
University of Melbourne Job no: 0043120
http://jobs.unimelb.edu.au/caw/en/job/890563/research-fellow-in-systems-biology

Wednesday
May172017

Translational Data Scientist - University of Sydney

Translational Data Scientist
Brain and Mind Centre DVC Research
Portfolio Reference no. 680/0417

  • Be valued for your exceptional knowledge and experience in Data Science
  • Full-time fixed term for 12 months with possibility of extension
  • Remuneration package: $106K p.a. which includes leave loading and up to 17% super


About the opportunity

Reporting to the Brain and Mind Centre Academic Lead for Data Science, the Translational Data Scientist in brain and mind sciences (neuroscience and mental health) will help support research opportunities across all areas of basic, clinical and translational medicine and health. The role will enhance and develop data science projects across Brain and Mind Centre; grow data science capacity to promote discovery; provide support with open-source and proprietary software for generating data visualisations and data understanding; and assist with data access and management.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance in recruiting talent aligned to these values in the pursuit of research excellence. We are looking for a Translational Data Scientist who possesses demonstrated expertise in:

  • using complex data sets
  • modern data-centric programming languages including one of Python, R and developmental languages including one of C++ or Java
  • understanding of modern data software and tools, from cloud computing to the many existing commercial products used for data analytics


Further, this role relies on an aptitude for understanding and interpreting researchers’ needs, advising on and providing appropriate data science skills for the research objectives, and communicating and translating this back to the researchers, in an ongoing discussion, to progress and achieve successful outcomes.

The successful candidate will work closely with basic science, clinical research and academic staff working in brain and mind sciences both physically at Brain and Mind Centre and across The University and its affiliated teaching hospitals and research partners.

About us

Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across 9 campuses, we employ over 7600 academic and non-academic staff who support over 47,000 students.

We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us.

For more information on the position and University, please view the candidate information pack available from the job’s listing on the University of Sydney careers website.

All applications must be submitted via the University of Sydney careers website. Visit sydney.edu.au/recruitment and search by the reference number to apply.

Closing date: 11.30pm 17 May 2017

The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.

If we think your skills are needed in other areas of the University, we will be sure to contact you about other opportunities.

The University reserves the right not to proceed with any appointment.

Wednesday
May242017

Research Fellow in Computational Biostatistics - University of Melbourne

The Centre for Stem Cell Systems is seeking a skilled and experienced research fellow to work on our exciting Mesenchymal Stromal Cells subtype classification project. Human Mesenchymal Stromal Cells (MSC) are rare multipotent cells that are being increasingly adopted in cell therapy. However, they are poorly defined and difficult to isolate from other stromal or blood cells. Work on this project has involved the review, collation and curation of hundreds of datasets on MSC source, growth, differentiation capacity and associated donor properties. This is the largest international collection of curated MSC data, which are available through our stem cell data repository www.stemformatics.org. By focussing on studies with whole-transcriptome profiling and high quality associated phenotypic data, we have developed a statistical method to identify a reliable gene signature to classify “MSC” versus other cell types (https://www.stemformatics.org/workbench/rohart_msc_test; Rohart et al. 2016).

The role will be responsible for leading novel and innovative statistical developments in stem cell research to understand the identity, heterogeneity and therapeutic potential of MSC. The successful applicant will work in close interaction with stem cell laboratory researchers, bioinformaticians and statisticians in this initiative.

The position will be based at the Centre for Stem Cell Systems in the Department of Anatomy and Neuroscience and will primarily report to the Centre Director, Professor Christine Wells. The successful candidate will also work under direction of Dr Kim-Anh Lê Cao in the Centre for Systems Genomics.

Click here for further details...


Wednesday
May242017

Bioinformatician (Computational Systems Biology) – University of Melbourne

The Centre for Stem Cell Systems is seeking an experienced computational biologist/ bioinformatician with an interest in the development and application of methods for multi-omics data integration and interrogation. Working as part of a multidisciplinary team, the incumbent will be responsible for the analysis of research data generated as part of the Bioplatforms Australia (BPA) Stem Cell Atlas Project.

Click here for further details...