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

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

Employer: Monash University

Closing date: 31st dec, 2017

Brief position description: PhD position is available for highly motivated trainee in the led 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. e 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 di erentiated 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:
e candidates should have computer science, mathematics, statistics, system biology and bioinformatics related backgrounds. ey 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 di erent types of NGS data- ChIP seq, RNA-seq, ATAC-seq would be plus. Candidates with rst 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 rst-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 pro ciency test is required. Our laboratory is committed to diversity and equality.

Job website:

Contact name: Partha Pratim Das

Contact email: Partha.Das@monash.edu

Postdoctoral Position in Psychiatric Genetics, Yale University School of Medicine

Employer: Yale University School of Medicine 

Closing date: 31/12/2017 

Brief position description: Postdoctoral position available in the Division of Human Genetics at Yale Department of Psychiatry. The primary research focus will be to investigate the predisposition to psychiatric disorders and behavioral traits using genome-wide data. Expertise in one of the following areas is required: genetic epidemiology, bioinformatics, statistics, or related fields. Applicants must have, or be about to be awarded, a Ph.D. and/or M.D degree.

The successful candidate will work with Dr. Renato Polimanti (http://bit.ly/2w7VZlT) on projects funded by the Brain & Behavior Research Foundation, the American Foundation for Suicide Prevention, and the Simons Foundation Autism Research Initiative. Further studies of substance use disorders will be carried out in collaboration with the group of Dr. Joel Gelernter via genome-wide investigations of a deeply-phenotyped cohort including more than 13,000 subjects. Please email your application including a cover letter, a detailed CV, and contact details of 3 referees to renato.polimanti@yale.edu. 

Job website: http://postdocs.yale.edu/yale-postdoctoral-positions 

Contact name: Renato Polimanti 

Contact email: renato.polimanti@yale.edu

Research fellow in computational biology / statistics, Melbourne

Employer: University of Melbourne

Closing date: 01/10/2017

Brief position description: The Centre for Stem Cell Systems is seeking a skilled research fellow to work on our exciting large-scale data integration projects conducted at the Centre. The Research Fellow in Computational Biology/Statistics will have the unique opportunity to work at the interface between stem cell biologists, bioinformaticians, and statisticians in contributing to novel and innovative statistical developments to integrate different sources of biological data available on matched biological samples (transcripts, miRNA, proteomics, metabolites, etc) to identify molecular signatures, as well as further refine or characterise subtypes of human stem cell.

Job website: http://careers.pageuppeople.com/422/ci/en/job/890666/research-fellow-in-computational-biologystatistics-readvertised

Contact name: Kim-Anh Le Cao

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

Postdoctoral Fellow - Environmental Genomics, QUT

Employer: Queensland University of Technology

Position title: Postdoctoral Fellow - Environmental Genomics, Science and Engineering Faculty

Closing date: 8/10/2017

Brief position description: 
Environomics—genomics for environmental science—is a frontier science that brings together advances in DNA sequencing, evolutionary biology, big-data and environmental modelling. Just as genomics has revolutionised agriculture and medicine, Environomics will shift Australia towards a whole-of-environment understanding of the genetic roots and relationships of our
biodiversity, from our evolutionary hotspots, to the trillions of microbes essential to our soils, to the genes that give plants drought tolerance. Environomics will allow us to see beyond the Australian landscape to the genescape, transforming our ability to manage our biodiversity and make use of the genetic resources locked inside.

We are seeking a capable and enthusiastic researcher, ideally with skills in biology, computing and statistics, to enable the development and application of quantitative tools and methods for metagenomic and environmental DNA (eDNA) analysis. Development of quantitative or semiquantitative methods for estimation of abundance in both metagenomics and eDNA is a key research focus. There are also research opportunities in metagenomics/eDNA analysis including genome assembly; clustering; search; sparse matrix analysis; visualization; and linking phenotype, space, time and abundance. In addition, we are looking for a researcher who can work with and manage very large datasets that include a mix of legacy and current (i.e., recently changing) data.

Within this breadth of possible research paths, the exact focus of the collaborative research will be determined in conjunction with CSIRO and QUT project leaders, and in consideration of how the appointee could best contribute. With this in mind, we are looking for someone who can add to our ideas and help shape the project’s research agenda.

We are looking for someone with the personal attributes and (ideally) experience to collaborate well with a range of stakeholders from different disciplines across QUT and CSIRO.

This position will sit within the School’s Data Science Discipline whose research focuses on computational methods for the analysis and understanding of the relationships embedded within large-scale data sets, including genomic and metagenomic samples.

This work is funded by the CSIRO Environomics Future Science Platform:
https://www.csiro.au/en/Research/Collections/Environomics

To view a full copy of the position description and to apply for the position please click on the link below.   Applications close on 8 October 2017.

Job website: http://qut.nga.net.au/cp/index.cfm?event=jobs.checkJobDetailsNewApplication&returnToEvent=jobs.listJobs&jobid=31263BB4-7430-9331-4E2D-9B706CDC4F37&CurATC=EXT&CurBID=1877E01E-78DD-4ED2-9D7A-9DB40135CFF4&JobListID=1ad2dcdd-b614-6387-c683-52af99b625ee&jobsListKey=7622474c-236a-4de7-a087-30e07a69df49&persistVariables=CurATC,CurBID,JobListID,jobsListKey,JobID&lid=84717980058