Staff Bioinformatician (Genome Medicine) @ Melbourne

Employer:University of Melbourne Centre for Cancer Research

Closing date:28/8/2019

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][1]: 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][2] or [this poster][3] 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!

[1]: https://research.unimelb.edu.au/centre-for-cancer-research/engage/services#clinical-genomics-platform
[2]: https://www.biorxiv.org/content/10.1101/623702v1
[3]: https://www.nygenome.org/bioinformatics/wp-content/uploads/2019/05/BOG-poster-20194.pdf

Job website:http://umccr.org/blog/hiring-take2/

Contact name:Oliver Hofmann

Contact email:ohofmann72@gmail.com

Postdoctoral researcher @ UNSW Sydney

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: luciani@unsw.edu.au

Post-doc position in bioinformatics @ ULB

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 (chermans@ulb.ac.be). Include your CV, qualifications and the names of two academic referees whom I can approach prior to appointment.

Job website:

Contact name: Christian Hermans

Contact email: chermans@ulb.ac.be

4 funded PhD Positions in Bioinformatics, Machine Learning, Systems and Synthetic Biology @ Melbourne

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 mstumpf@unimelb.edu.au

To apply please send your application including Cover Letter, CV, final transcripts (where available), and the details of two referees to mstumpf@unimelb.edu.auby the 15th of July.

We can assist international students with their relocation expenses.

Job website:

Contact name:Michael Stumpf

Contact email:mstumpf@unimelb.edu.au

Lecturer, Computational Biology

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 epidemiologymetagenomicsphylogeneticstranscriptomics,proteomicsmachine learning, and microbiology.

 

About you

 

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 recruitment@uts.edu.au 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 recruitment@uts.edu.au or on +61 (0) 2 9514 1080.

Bioinformatician in Garvan Institute of Medical Research (Sydney, NSW)

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.

Job website:http://garvan.applynow.net.au/jobs/GC201972

Contact name:Jessica Su

Contact email:j.su@garvan.org.au

Postdoctoral Scientist in Computational Genomics / Bioinformatics @ Sydney

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: r.bagnall@centenary.org.au

Bioinformatics Research Technician (Melbourne)

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: degraaf@wehi.edu.au

Medical Laboratory Scientist - Molecular Haematology :Permanent - Full Time (Sydney)

Employer: NSW Health Pathology (RPA Hospital)

Closing date: 03/06/2019 - 11:59 PM

Brief position description: We are looking for a Scientist with a demonstrated knowledge of massively parallel sequencing and and molecular diagnostics who will be a involved in the validation, implementation and operation of molecular diagnostic services in our laboratory.
The Molecular Haematology Laboratory is a well established molecular diagnostic laboratory that is part of the Institute of Haematology at Royal Prince Alfred Hospital. As part of NSW Health Pathology, the successful applicant will be entitled to the benefits and opportunities available to all employees of the organisation.
The role will primarily be responsible for performing massively parallel sequencing on DNA and RNA samples from patients who are being investigated for haematological disorders. The workflow will include sample processing and storage, library preparation and quantitation, sequencing, and output file management.

Job website: http://iworkfor.nsw.gov.au/job/medical-laboratory-scientist-molecular-haematology-156694

Contact name: Alberto Catalano

Contact email: alberto.catalano@health.nsw.gov.au

Tenure-Track Assistant Professor in Public Health Integrative and Computational Biology (Hong Kong)

Employer:The University of Hong Kong

Closing date:30 June 2019

Brief position description:Applications are invited for appointment as Tenure-Track Assistant Professor in Public Health Integrative and Computational Biology in the School of Public Health (Ref.: 494162), to commence as soon as possible, on a three-year fixed-term basis with the possibility of renewal and with consideration for tenure before the expiry of a second three-year fixed-term contract, subject to satisfactory performance.

Applicants should possess a doctoral degree in molecular biology, genomics, computational biology, public health or a related field, with a track record of high-quality research in the field of biomedical sciences. Preference will be given to those with proven experience in applying cutting-edge approaches to explore biological questions that can be translated into public health practice. The primary selection criterion will be scientific excellence and the perceived ability to augment the intellectual creativity and innovation potential of the School of Public Health. The appointee will work in the HKU-Pasteur Research Pole under the School of Public Health. He/She will spearhead quantitative biology research programmes at the intersection of molecular biology, virology, immunology, genetics and public health; teach related courses at undergraduate/postgraduate levels; and conduct relevant knowledge exchange (KE) activities for the community. He/She is expected to harness the use of the School’s long-running cohorts in building biobanks for promoting precision public health, and advance the translation of discoveries into disease prevention and population health strategies. Information about the School can be obtained at http://sph.hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided as applicable.

Job website:http://jobs.hku.hk/cw/en/job/494162/tenuretrack-assistant-professor-in-public-health-integrative-and-computational-biology

Contact name:Joshua Ho

Contact email:jwkho@hku.hk