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Sunday
May282017

Senior Research Assistant (Computational Biology) - Monash Biomedicine Discovery Institute, Monash University

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 transcription factors (TFs) and epigenetic regulators, along with small RNAs and long non-coding RNAs (lncRNAs) regulate gene expression programs in ES cells, neural stem cells and differentiated cells under normal and pathological conditions, such as, cancers and neurodegenerative diseases. We use various experimental approaches including Cell and Molecular Biology, Biochemistry, CRISPRs, CRISPRs screens, ChIP-seq, RNA-seq, WGS, ATAC-seq, RRBS, ChIA-PET, 3C, 4C, 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: Job No. 557456

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 Knowledge and Skills
  • Excellent knowledge and hands on experience in NGS data, particularly- ChIP-seq, RNA-seq, WGS, ATACseq, HiC and ChiA-PET, 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 organizational skills, with the ability to prioritize 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-Dr. Partha Pratim Das. PhD (Partha.Das@monash.edu or ppdas@bloodgroup.tch.harvard.edu) OR apply through this link: http://careers.pageuppeople.com/513/cw/en/job/557456/senior-research-assistant-computational-biology

Closing Date: Sunday 28 May 2017, 11:55pm AEDT

Click here for further details..

Friday
May262017

Post-doctoral bioinformatics research officer - Oshlack lab, Murdoch Children's Research Insitiute

We currently require a full time (or part time) Research Officer on a 2-year contract to join the Bioinformatics research group. The Research Officer will perform analysis and develop analysis methods in the area of cancer transcriptomics. The position will also involve examining and analysing gene expression data and potentially other types of sequencing data from cancer samples. The focus of this position will be on developing further insights into childhood cancers using patient samples collected locally at the Royal Children’s Hospital.

 

You will also be responsible for:

  • Actively collaborating with scientists from the cancer research group within the Institute as well as research groups elsewhere.
  • Contributing to projects that require design and analysis of experiments using state-of-the-art statistical and computational analysis.
  • Developing new methods of computational and statistical analysis as well as visualization and interpretation of data.
  • Developing a deeper understanding of the molecular biology and genetics of cancer over the duration of the position.
  • Examining and analysing gene expression data and potentially other types of sequencing data from cancer samples.

 

Key Selection Criteria

To be successful in this role you will have:

  • PhD in a relevant field such as bioinformatics, statistics, computer science, physics, genetics or mathematics
  • Appropriate level of expertise gained from a combination of experience, training or professional accreditation
  • Demonstrated excellence in scientific research
  • Experience with handling large data sets in a scientific context
  • Experience with computational data analysis
  • Be proficient in R, Python or another scripting language
  • Have an interest in genetics and medical research
  • Demonstrate high-level interpersonal, verbal, and written communication skills, and an ability to work in a small team with minimal supervision
  • Working with Children & National Police Clearance (if appointed) in compliance with the Victorian Governments Child Safety Standards.

 

Only applicants who address the key selection criteria will be considered. Please place your responses to the key selection criteria at the end of your cover letter. For more information on this position please contact Associate Professor Alicia Oshlack alicia.oshlack@mcri.edu.au

 

Salary Range: $84,869 – $91,099 per annum, pro rata plus super

Closing Date: Friday 26 May 2017

Position Reference: 6441

 

Please see the full ad. for the position description:

https://career10.successfactors.com/career?career_ns=job_listing&company=C0007531036P&navBarLevel=JOB_SEARCH&rcm_site_locale=en_GB&career_job_req_id=6441&selected_lang=en_GB&jobAlertController_jobAlertId=&jobAlertController_jobAlertName=&_s.crb=USrVAQzND9AuYJix6O3V3fCiL2Q%3d

Thursday
May252017

Research Fellow / Senior Research Fellow (Biostatistics) – University of Sydney

Research Fellow / Senior Research Fellow – Biostatistics, Discipline of Pharmacology, School of Medical Sciences
Reference no. 800/0417

  • Join an organisation that encourages progressive thinking
  • Be valued for your exceptional knowledge and experience in biostatistics
  • Full-time, fixed term for two years with further offers possible


About the opportunity

We are seeking to appoint a Biostatistician to support an NHMRC funded program grant under Professor Nick Buckley in the Discipline of Pharmacology. You will provide statistical advice and support to researchers, collaborators, research fellows and research students concerning the design and appropriate statistical methodologies, with focus on pharmaco-epidemiology, pharmacometric modelling, epidemiology and clinical trials. Responsibilities will include planning and leading statistical analyses, using statistical software to manage and analyse data; contributing to drafting scientific protocols, grant applications and scientific publications; developing and implementing best-practice procedures relating to statistics and data management. You will be expected to make an independent and significant contribution to research, and supervise higher degree students.

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 Biostatistician who possesses demonstrated expertise in: • a PhD or a postgraduate degree in biostatistics, statistics, or other quantitative research techniques or or equivalent experience • a history of research evidenced by peer reviewed publications • expertise and experience in fitting and interpreting complex statistical models • excellent data organisation and analysis skills • experience as statistician in pharmacometric, pharmacoepidemiology or health research (desirable) • excellent oral and written communication skills, including the ability to communicate statistical results to non-statisticians • strong statistical computing skills in statistical software (SAS, Stata, SPSS, R, Matlab, Nonmem).

For appointment at the more senior level you will also have:

  • demonstrated ability to work with high level of independence and leadership
  • experience in research-based leadership role
  • demonstrated ability to develop and oversee the implementation of best-practice statistical and data management processes
  • a history of attracting grant funding (desirable).


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: 11pm 25 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...