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

Bioinformatics postdoc in Shi Lab at the Walter and Eliza Hall Institute, Melbourne, Australia

Employer: Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia

Closing date: Sat, 11/11/2017 - 5:00pm

Brief position description: An opportunity is available for a talented Research Officer to join the Shi Lab to work on the development of new bioinformatics methods and on the analyses of sequencing datasets. The appointee will work under the supervision of Dr Wei Shi and collaborate with Prof Axel Kallies’ group at the Peter Doherty Institute (University of Melbourne). Prof Kallies is a world leader in investigating transcriptional networks that regulate immune cell differentiation and diversification. The appointee will work on methodology development for analyses of sequence data generated by next-generation and third-generation sequencers. He/she will also work on collaborative projects to analyze genomic sequencing data such as RNA-seq, ChIP-seq and ATAC-seq data.

The applicant should have a PhD degree in computer science, bioinformatics or other relevant disciplines. Strong programming skills are required. Experience in C/C++ programming is essential and experience in R and Python programming is desirable. Previous experience in bioinformatics is not essential but the applicant is expected to be motivated to work on genomics and bioinformatics research.

Job website: https://www.wehi.edu.au/research-officer-bioinformatics-division

Contact name: Wei Shi

Contact email: shi@wehi.edu.au

Senior Research Fellow in Computational Genomics/Statistics, University of Melbourne

Employer: University of Melbourne

Closing date: 13/11/2017

Brief position description: The School for Mathematics and Statistics and its partner, the Centre for Systems Genomics (CSG), are seeking an enthusiastic research fellow to work on our pioneering projects in statistical integration of large biological data sets, and their implementation in the mixOmics multivariate R toolkit.

The Research Fellow will be responsible for leading cutting-edge statistical developments to address some of the data analysis challenges arising from the latest advances in high-throughput sequencing technologies, including the analysis of microbiome data (amplicon, shotgun sequencing and longitudinal experiments), genetic or single cell sequencing data. In this role you will thrive in a unique multi-disciplinary environment amongst statisticians, bioinformaticians and biologists in this initiative, and enjoy the opportunity to contribute to teaching in the classroom (within your areas of expertise) and for hands-on multiple day workshops. You will be part of the Lê Cao lab that specialises in the development of novel computational methods for biological ‘omics data.

The position will be based at the Centre for Systems Genomics and will report to Dr Kim-Anh Lê Cao. This presents the opportunity to contribute to and benefit from the development of the Centre, to collaborate and interact with several other new appointees in the Statistics and Mathematical & Computational Biology research groups within the School, and with researchers from a wide range of biological research areas who interact with members of the Centre.

Job website: http://jobs.unimelb.edu.au/caw/en/job/890674/research-fellow-in-computational-genomics-and-statistics-readvertised

Contact name: Kim-Anh Le Cao

Contact email: kimanh.lecao@unimelb.edu.au

Research Assistant in Bioinformatics and Computational Biology, Peter MacCallum Cancer Centre, Melbourne

Employer: Peter MacCallum Cancer Centre

Closing date: 23/10/2017

Brief position description: The Peter MacCallum Cancer Centre is Australia’s only public hospital solely dedicated to cancer and one of an elite group of hospitals worldwide to have its own integrated cancer research program and laboratories. 

The Cancer Epigenetics Laboratory and the Molecular Biomarkers & Translational Genomics laboratory are currently seeking a full time Research Assistant for a 1 year fixed term position, with the opportunity for future extension. This position will involve working closely with members of the two group to provide bioinformatics support. 

The position requires a highly motivated and organised scientist capable of working in an independent manner within an existing team. Further to this it is essential that the individual can communicate effectively at all levels and work collaboratively with colleagues.

The successful candidate will have a B.Sc. (or equivalent research experience) in bioinformatics, computational biology, statistics. Outstanding organisational and record keeping skills, ability to conduct independent research, high quality written and oral communication skills and ability to work with independence and collaboratively as part of a team are essential. Previous experience in the analysis of next-generation sequencing data is highly desirable.

The position will be in a research environment that includes a large and interactive group of bioinformaticians and computational biologists in the Computational Cancer Biology Program and the Bioinformatics Core Facility. The position will be initially for a fixed term of 12 months with the opportunity to extend. Remuneration will be commensurate with qualifications and experience.

Job website: http://petermac.mercury.com.au/ViewPosition.aspx?id=wYv08u9BeCQ=&jbc=ere

Contact name: Enid Lam

Contact email: enid.lam@petermac.org

Senior Research Assistant/Post-doc in Computational Biology, Monash Biomedicine Discovery Institute, Monash University

Employer: Monash University

Closing date: 31st Oct 2017

Brief position description: 

BDI Monash University is one of the largest and most successful biomedical research institutes in Australia. e 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 di erentiated 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: ree year xed-term appointment

Remuneration: $82,645 - $90,646 pa HEW Level 07 (plus 17% employer superannuation)

Education/Quali cations requirement:
-A PhD in Bioinformatics, Computer Science, Mathematics, Statistics would be desirable with signi cant research experience in the eld of Bioinformatics, Computational biology, Genomics and Epigenetics/ Epi-transcriptomics -Candidates must have rst 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 con dentiality, privacy and information handling
If you are interested, please send a cover letter, CV and contact information for 3 references via email to Dr. Partha Pratim Das. PhD (Partha.Das@monash.edu)

Job website:

Contact name: Partha Pratim Das

Contact email: Partha.Das@monash.edu