Postdoctoral Scientist in Computational Genomics, Sydney

Employer: Victor Chang Cardiac Research Institute

Closing date: 31/12/2017

Brief position description: We are seeking an enthusiastic post-doctoral scientist to join the Computational Genomics Laboratory, led by Dr Eleni Giannoulatou. The successful candidate will be involved in the analysis of large next-generation sequencing datasets and the development of quantitative approaches to identify the genetic causes of cardiovascular diseases with a particular focus on Congenital Heart Disease. The ideal candidate will have:
• PhD in computational biology, bioinformatics, statistical genetics, or a relevant quantitative field with a demonstrated aptitude for bioinformatics research
• Experience with a statistical programming language (R/Bioconductor or Matlab) and a scripting language (Perl or Python) 
• Excellent computational and mathematical skills
• Strong up-to-date background in bioinformatics and its applications to genetics and next-generation sequencing
• Demonstrated capacity to work as a team member and independently and potential to supervise students
• Excellent interpersonal and communication skills
Please address the selection criteria in a cover letter.

Job website: https://www.victorchang.edu.au/uploads/Advertisement-PDS-Giannoulatou-Lab-Nov-2017.pdf

Contact name: Eleni Giannoulatou

Contact email: e.giannoulatou@victorchang.edu.au

Postdoctoral Researcher - Bioinformatics, Cairns

Employer: James Cook University

Closing date: January 7th, 2018

Brief position description: Provide expert advice and data analysis across a wide range of strategic multidisciplinary research projects in the field of tropical health and medicine.

We offer an exciting opportunity for a Research Fellow, Bioinformatics to join our world-leading institution at James Cook University (JCU). A fixed term appointment, this position is based in Cairns in picturesque Tropical North Queensland, where you can enjoy a tropical lifestyle whilst still achieving your career goals. 

Providing expert advice and data analysis across a wide range of strategic multidisciplinary research projects, you will have the opportunity to focus on a variety of topics including infectious disease genomics, microbiome analysis, biological determinants of chronic disease, and personalised medicine within Northern Queensland hospitals. You will also be expected to conduct internationally recognised research in biomedical sciences using bioinformatics methods.

Job website: http://www.jcu.edu.au/careers-at-jcu/vacancies/research-jobs

Contact name: Matt Field

Contact email: matt.field@jcu.edu.au

Postdoctoral Researcher Systems Biology/Personalized Medicine, Perth, Australia

Employer: Telethon Kids Institute

Closing date: 31 Dec 2017

Brief position description: The laboratories of Dr Anthony Bosco and Dr Parwinder Kaur have a joint opening for a postdoctoral position in computational systems biology. The position is part of a larger effort to establish a competitive personalised medicine program at the Telethon Kids Institute.

The postdoc will be involved in developing and applying state of the art computational approaches for genomic data analysis, data integration, network inference, and personalised risk stratification. A strong focus of the position will be to identify the molecular states that underpin phenotypic states, and make predictions about actionable possibilities to push biological systems between opposing molecular states in a directed manner. A broad range of genomic data sets will be available for analysis, including Hi-C, whole genomic sequencing, whole exome sequencing, epigenetic profiles, transcriptomics, single cell transcriptomics, metabolomics, and microbiome data. Data will be generated from diverse experimental settings, including experimental human, mouse, and rat models, birth cohort studies, human clinical trials, and experimental perturbations. The position represents an exciting opportunity to work at the crossroads between basic science and clinical practice. The successful candidate will have the unique opportunity to be part of a multidisciplinary team comprised of biologists, molecular biologists, clinicians, statisticians, mathematicians, and computational biologists. The successful candidate should have:

A PhD in a relevant subject area (e.g Computational Biology, Computer Science, Statistics or Mathematics) and a background in programming and command line UNIX/ Linux
Experience in the analysis of next generation sequencing data
The following traits: creative, ambitious, enthusiastic, self-motivated, proactive, passionate, reliable, hard-working, good writing and communication skills.
At least one publication
Ability to work independently and as part of a team
Experience with supercomputing clusters would be advantageous

This is a Full time/Fixed term role for 1 year with the possibility of extension. Remuneration package includes access to generous salary packaging.

Job website: http://www.telethonkids.org.au/be-involved/career-opportunities/current-vacancies/postdoctoral-researcher/

Contact name: Parwinder Kaur

Contact email: parwinder.kaur@telethonkids.org.au

Genomics Informatician, Adelaide

Employer: SA Pathology

Closing date: 1 December, 2017

Brief position description: Full time, Ongoing - $83,509 - $93,437 - ASO5

Working with an enthusiastic team of clinical, scientific and technical staff in the exciting and expanding area of clinical genomics, this is a great opportunity to improve the health and wellbeing of South Australians. The incumbent will work in diagnostic and clinical translational genomics to improve diagnoses of genetic diseases including cancer. Our laboratory has strong clinical partnerships to spearhead clinical implementation of genomics and we are national leaders in the provision of targeted gene panel and whole-exome sequencing for diagnostics. 

The Genome Informatician applies technical expertise in bioinformatics and genome analysis to contribute to the delivery of high-throughput genetic testing services. The incumbent will implement and maintain genome analysis pipelines for diagnostic applications from targeted and genome-scale next-generation sequencing and show great attention to detail for ensuring the quality of analysis solutions.

The Genome Informatician will have practical experience in bioinformatics and computational pipeline design and demonstrated aptitude to implement effective bioinformatics analysis solutions. The Genome Informatician will effectively prioritize tasks to maintain productivity and participate in research activities, as appropriate.

The South Australian public sector promotes diversity and flexible ways of working including part-time. Applicants are encouraged to discuss the flexible working arrangements for this role.

Job website: http://jobs.sahealthcareers.com.au/caw/en/job/636373/genomics-informatician

Contact name: Karin Kassahn

Contact email: Karin.Kassahn@sa.gov.au

Post-doc in Statistical Genetics, Melbourne

Employer: University of Melbourne

Closing date: 27 November 2017 

Brief position description: You will work with Prof David Balding in Melbourne and in collaboration with Dr Doug Speed in London and Aarhus to further develop their exciting recent work on genome-wide models for heritability and prediction for complex traits (see our paper in Nature Genetics doi: 10.1038/ng.3865). Only 18-months funding is available in the first instance, but it is hoped that funding will become available for a further appointment. A visit to London or Aarhus to liaise with the collaborator is expected to be available given satisfactory progress.

Job website: http://jobs.unimelb.edu.au/caw/en/job/892053/research-fellow-in-statistical-genetics

Contact name: David Balding 

Contact email: dbalding@unimelb.edu.au

Data Scientist / Biostatistician / Bioinformatician, CMRI, Sydney

• Make an important contribution to the health of children through medical research
• Work with one of Australia’s most respected national and independent medical research institutes
• Westmead Location, close to public transport

Children’s Medical Research Institute (CMRI) was Australia’s first dedicated paediatric research facility and is now one of the nation’s most highly regarded independent medical research centres.  Our research focuses on the areas of embryonic development and birth defects, 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. 

A post-doctoral research 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. One of the goals of ProCan is to measure thousands of proteins in about 70,000 cancers of all types with known treatment outcome and correlate tumour proteotypes with clinical phenotypes. The Cancer Data Science Group aims to develop novel computational tools and sophisticated machine learning algorithms to achieve this goal. Other major focuses of the group are 1) big proteogenomic data mining and management, 2) the genome-proteome association analysis and multi-omic data integration for studying cancer, 3) development of advanced statistical tools to account for batch effects caused by large-scale, high throughput proteomics, and 4) implementation of big data-driven, evidence-based computational tools to achieve predictive, preventive, personalized medicine.

We invite applications from PhD – MD/PhD scientists to join our group. Applicants should have a high degree of motivation in academic research, an excellent record of scientific accomplishments with publications in peer-reviewed journals, and the ability to work independently with outstanding communication and writing skills. Candidates should also have a strong background in computer science and/or mathematics and be interested in cancer-related proteomics or systems biology. Knowledge in bioinformatics, machine learning and high-throughput big data analysis/ visualization is essential. Strong programming skills in R, Python or Matlab are required. Previous experience in proteomics would be helpful, but not essential.

You will be provided with a competitive remuneration package in accordance with qualifications and experience, international working environment, and direct access to high quality, curated proteomic data sets. First and co-first author publications on high impact journals can be expected. This is a full-time position for two years with the possibility of extension. Additional benefits include the provision of a Public Benevolent Institution salary packaging scheme and participation in an employer-contributed superannuation fund.

Applications should include:

1.    A cover letter (citing PV1732) with statement of motivation and a detailed description of the qualifications described above,

2.    A curriculum vitae including a chronological list of publications

3.    Contact details (phone/email) of three professional referees

            and be forwarded to recruitment@cmri.org.au 

Closing date for applications is 7th December 2017.

Please direct enquiries regarding the position to Dr. Qing Zhong, Cancer Data Science Group: qzhong@cmri.org.au

POSTDOCTORAL FELLOW - BIOINFORMATICS, University of Melbourne

Employer: University of Melbourne, Centre for Cancer Research

Closing date: 26 Nov 2017

Brief position description: The RAre DIsease Oncogenomics (RADIO) Laboratory with the University of Melbourne Centre for Cancer Research (UMCCR) is dedicated to translational research of rare and orphan cancers. We are currently seeking an experienced and highly motivated junior post-doctoral bioinformatics researcher who will contribute to a new and exciting research study involving deep genomic analysis of neuroendocrine tumours (NET). NET is a rare but heterogeneous collection of tumours with a complex genetic makeup that often display unpredictable clinical behavior. We aim to identify the genetic determinants of NET tumours including those originating from sympathetic endocrine tissues such as the adrenal gland and extra-adrenal paraganglia. Our goal is to find genetic associations with clinical outcome, response to therapy and functional imaging properties and to translate these finding to improve patient care and outcome. The research will include high-level and integrated bioinformatic analysis of a large series of tumour samples collected through an international network (American Australian Asian Adrenal Alliance, A5) involving whole genome DNA sequencing, RNA sequencing and DNA methylation analysis. The candidate will work closely with a team of biologists and bioinformatics staff of the UMCCR at the Victorian Comprehensive Cancer Centre.

Job website: http://jobs.unimelb.edu.au/caw/en/job/892128/postdoctoral-fellow-bioinformatics

Contact name: Richard Tothill

Contact email: rtothill@unimelb.edu.au

Bioinformatics Research Officer or Research Assistant, Melbourne

Employer: Molecular Medicine Division, WEHI

Closing date: 24th November 2017

Brief position description: An opportunity exists for a Computational Scientist to work on the analysis of single-cell RNA-sequencing data. The appointee will use and develop advanced bioinformatics tools to analyse these data using high performance computing infrastructure. This role will be embedded in the recently established Single-cell Genomics Facility.

The successful candidate will ideally hold a PhD/Masters-level qualification and have experience in bioinformatics analysis with strong programming and data analysis skills. Good knowledge of R and Unix would be highly desirable.

The position is available for 3 years in the first instance. A salary range up to and including Academic Level B ($86,472 - $92,817) is available depending on qualifications and experience. Up to 17% superannuation and attractive salary packaging options are available. Flexible working arrangements are on offer.

The Institute is highly supportive of women scientists. Attractive awards including childcare fellowship (Craven and Shearer Award) and additional technical assistance (Page Betheras Award) during and after maternity leave. A new childcare facility will commence building in early 2017 with a proposed completion date of 2018. Mentoring programs and a strong postdoctoral association contribute to an outstanding career opportunity for an ambitious junior postdoc.

Job website: http://www.wehi.edu.au/careers

Contact name: Matt Ritchie

Contact email: mritchie@wehi.edu.au

PhD position in Computational Biology/ Bioinformatics at Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia

A PhD position is available for highly motivated trainee in the filed of Computational Biology/ Bioinformatics at “Epigenetics and Gene regulation Laboratory” within Biomedicine Discovery Institute (BDI), Monash University, Melbourne, Australia.

BDI Monash University is one of the largest and most successful biomedical research institutes in Australia. The BDI brings together more than 100 teams in a highly interactive environment, with access to truly world-class infrastruc- tures. For details, please look at- https://www.monash.edu/discovery-institute

Our laboratory research interest focuses on- how epigenetic and epi-transcriptomic changes regulate gene expression programs in ES cells, neural stem cells and differentiated cells under normal and pathological conditions, such as, can- cers and neurological disorders. We use various experimental approaches including - Cell and Molecular Biology, Biochemistry, CRISPRs, CRISPRs screens, ChIP-seq, RNA-seq, m6A RNA-seq, m5C RNA-seq, WGS, ATAC-seq, RRBS, Hi-C, proteomics and bioinformatics.

For research details, please see:

http://www.med.monash.edu.au/anatomy/research/epigenetics-and-gene-regulation.html

Requirements for Computational Biology students:
The candidates should have computer science, mathematics, statistics, system biology and bioinformatics related backgrounds. They should have excellent communication and writing skills, able to work independently and in teams. Experience working with commonly used bioinformatics tools, as well as on different types of NGS data- ChIP seq, RNA-seq, ATAC-seq would be plus. Candidates with first author/ co-author publications are encouraged to apply, it will be plus to obtain Monash Scholarships.

If you are interested, please send a cover letter, CV and contact information for 3 references via email to me-Dr. Partha Pratim Das. PhD (partha.das@monash.edu). Applicants must hold a Bachelor’s or equivalent degree with first-class Honours, Master of Science, or MPhil.

Notes: International students encouraged applying for Monash-based scholarships support. PhD students will be fully funded during their study. For international students an English proficiency test is required. Our laboratory is committed to diversity and equality.

Last date: 31st December, 2017

Senior Research Assistant/Post-doc (Computational Biology) position Monash Biomedicine Discovery Institute, Monash University, Melbourne, Australia

BDI Monash University is one of the largest and most successful biomedical research institutes in Australia. The BDI brings together more than 100 teams in a highly interactive environment, with access to truly world-class infrastructures. For details, please look at- https://www.monash.edu/discovery-institute

Our laboratory research interest focuses on- how epigenetic and epi-transcriptomic changes regulate gene expres- sion programs in ES cells, neural stem cells and differentiated cells under normal and pathological conditions, such as, cancers and neurological disorders. We use various experimental approaches including - Cell and Molecular Biology, Biochemistry, CRISPRs, CRISPRs screens, ChIP-seq, RNA-seq, m6A RNA-seq, m5C RNA-seq, WGS, ATAC-seq, RRBS, Hi-C, proteomics and bioinformatics.

For research details, please see:

http://www.med.monash.edu.au/anatomy/research/epigenetics-and-gene-regulation.html

Job description:

Faculty / Portfolio: Faculty of Medicine, Nursing and Health Sciences School of Biomedical Sciences
Department of Anatomy and Developmental Biology
Location: Clayton campus

Employment Type: Full-time
Duration: Three year fixed-term appointment
Remuneration: $82,645 - $90,646 pa HEW Level 07 (plus 17% employer superannuation)

Education/Qualifications requirement:

-A PhD in Bioinformatics, Computer Science, Mathematics, Statistics would be desirable with significant research experience in the field of Bioinformatics, Computational biology, Genomics and Epigenetics/ Epi-transcriptomics -Candidates must have first author/ co-author publications

Knowledge and Skills

-Excellent knowledge and hands on experience in NGS data, particularly- ChIP-seq, RNA-seq, m6A RNA-seq, WGS, ATAC-seq, HiC, SNPs and related genomics datasets
-Able to work independently and in teams
-Candidates should have excellent written and oral communication skills

-High-level of project management skills with a record of successfully coordinating and/or supporting projects -Planning and organisational skills, with the ability to prioritise multiple tasks and set and meet deadlines -Ready to handle creative and challenging assignments
-Willing to learn machine or deep learning, developing new bioinformatics tools

-A demonstrated awareness of the principles of confidentiality, privacy and information handling
If you are interested, please send a cover letter, CV and contact information for 3 references via email to me-

Contact: Dr. Partha Pratim Das. PhD (Partha.Das@monash.edu)

Closing Date: 31st Oct 2017