Computational biologist in the Gastrointestinal Genetics Lab, Monash University

Employer:Monash University

Closing date:Position open until an ideal candidate is identified

Brief position description:Level A/B research position (depending on qualifications) fully funded for up to 3 yrs is available immediately to join the new Gastrointestinal Genetics Research Group directed by Prof Mauro D’Amato (https://scholar.google.com/citations?user=NkBZE9QAAAAJ&hl=en) at the School of Biological Sciences, Monash University, Clayton Campus. The team combines genomic, computational and pre-clinical expertise to elucidate the pathogenetic mechanisms predisposing to gastrointestinal (GI) disease. The druggable genome, nutrigenetics and host (genome) - microbiota interactions are new research lines. The ultimate goal is a translational application for therapeutic precision in gastroenterology.

We are seeking a computational biologist/bioinformatics expert to join our team and lead research focused on the genetic causes of inflammatory bowel disease, irritable bowel syndrome, microscopic colitis and other GI conditions. The successful candidate will be in charge of project(s) involving large-scale data analysis (genomics, (epi)genetics, transcriptomics, metagenomics etc), the interpretation of results and their communication in scientific journals and at international meetings, including co-supervision of junior members of the team. Specific projects will be discussed based on the candidate interest, competence and projected scientific trajectory (we are happy to serve as springboard for independence).

You are at an advanced stage of your postdoc/junior PI scientific career, or have equivalent research experience as support analyst/computational biologist, and are looking for the opportunity to take on a pivotal role in a nascent group of internationally recognised leaders. You hold a PhD in computer science, bioinformatics, genetics or related fields, have documented knowledge of R/Bioconductor, Python and programming languages, Unix environment and high-performance computing clusters.

Contact name:Mauro D'Amato

Contact email:mauro.damato@monash.edu

Computational biologist in the Gastrointestinal Genetics Lab (Melbourne)

Employer: Monash University

Closing date: May 2019

Brief position description: Level A/B research position (depending on qualifications) fully funded for up to 3 yrs is available immediately to join the new Gastrointestinal Genetics Research Group directed by Prof Mauro D’Amato (https://scholar.google.com/citations?user=NkBZE9QAAAAJ&hl=en) at the School of Biological Sciences, Monash University, Clayton Campus. The team combines genomic, computational and pre-clinical expertise to elucidate the pathogenetic mechanisms predisposing to gastrointestinal (GI) disease. The druggable genome, nutrigenetics and host (genome) - microbiota interactions are new research lines. The ultimate goal is a translational application for therapeutic precision in gastroenterology. 
We are seeking a computational biologist/bioinformatics expert to join our team and lead research focused on the genetic causes of inflammatory bowel disease, irritable bowel syndrome, microscopic colitis and other GI conditions. The successful candidate will be in charge of project(s) involving large-scale data analysis (genomics, (epi)genetics, transcriptomics, metagenomics etc), the interpretation of results and their communication in scientific journals and at international meetings, including co-supervision of junior members of the team. Specific projects will be discussed based on the candidate interest, competence and projected scientific trajectory (we are happy to serve as springboard for independence).
You are at an advanced stage of your postdoc/junior PI scientific career, or have equivalent research experience as support analyst/computational biologist, and are looking for the opportunity to take on a pivotal role in a nascent group of internationally recognised leaders. You hold a PhD in computer science, bioinformatics, genetics or related fields, have documented knowledge of R/Bioconductor, Python and programming languages, Unix environment and high-performance computing clusters.

The position is available immediately until filled, if interested please get in touch

Contact name: Mauro Damato

Contact email: mauro.damato@monash.edu

Bioinformatics Postdoctoral Fellowship (Hong Kong)

Employer:The University of Hong Kong

Closing date:30 September 2019

Brief position description:Applications are invited for appointment as Post-doctoral Fellow in the School of Biomedical Sciences (Ref.: 494193), to commence as soon as possible for two to three years.

Applicants should have a Ph.D. degree preferably in Bioinformatics, Computer Science, Statistics, Mathematics, Biomedical Sciences, Bioengineering or a related discipline, with experience in developing and applying bioinformatics software to solve a variety of biomedical problems. They should also be organized, self-motivated, and able to work independently and in a team; and must be proficient in at least one computer programming language. The appointee will participate in research projects relating to single-cell analysis, disease genomics, metagenomics, and systems biology. Enquiries about the post should be sent to Dr. Joshua Ho at jwkho@hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

Job website:http://jobs.hku.hk/cw/en/job/494193/postdoctoral-fellow

Contact name:Joshua Ho

Contact email:jwkho@hku.hk

Postdoc position - canine genome analysis - focus on the Australian dingo

Employer: University of New South Wales

Closing date: April 8, 2018

Brief position description: Specific responsibilities for this role include:
• Analyses of canine genomes focusing on the Australian dingo.
• Bioinformatics and programing to determine genes under selection.
• Determination of basic population genetic parameters.
• Maintain an accurate and well-kept laboratory notebook.
• Assist with preparation of animal ethics protocols.
• Other relevant duties as required by the supervisor.
• Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others.

SELECTION CRITERIA
• PhD in a relevant field.
• Demonstrated experience in mammalian genomics.
• Demonstrated experience in population genetics.
• Demonstrated experience in bioinformatics or basic programming.
• Excellent organisational, written, and verbal communication skills.
• Demonstrated ability to prioritise work, meet deadlines and publish research findings.
• Demonstrated ability to work effectively in a team environment and at times with minimal supervision.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Postdoc in Statistical Genomics 

Employer: University of Melbourne 

Closing date: 18/04/19 

Brief position description: Postdoc position funded by an ARC grant to develop models relating whole-genome genotypes with outcomes of interest in humans and other organisms, including bacteria. It's a field of great current progress and excitement with many opportunities for further advances. You will work with a small team in Melbourne Integrative Genomics and with collaborators in Denmark, Norway and other centres. You should have a PhD in a highly-quantitative discipline, experience of scientific computer programming and be familiar with handling large datasets. 

Job website: http://careers.pageuppeople.com/422/ci/en/job/899342/research-fellow-in-statistical-genetics

Contact name: David Balding 

Contact email: dbalding@unimelb.edu.au

RESEARCH OFFICER/POSTDOCTORAL FELLOW IN BIOINFORMATICS/COMPUTATIONAL BIOLOGY

Employer: South Australian Health & Medical Research Institute (SAHMRI)

Closing date: This position will remain open until a suitable candidate is identified.

Brief position description: The Lynn EMBL Australia Group at the South Australian Health and Medical Research Institute (SAHMRI) in Adelaide, Australia is now seeking applications for a bioinformatics/computational biology researcher to work on a variety of projects in the cancer systems biology and systems immunology areas. Prior experience in at least some of the following areas is essential: analysis of next generation sequencing (NGS) data; network and pathway biology; cancer systems biology; machine learning methods and experience in biomarker discovery and validation. Active collaboration and the ability to manage multiple different projects simultaneously is essential. An initial 2 year full-time contract is available, potentially renewable.

The successful candidate will work as part of a multi-disciplinary team that is equally divided between computational and experimental systems biology. The group is headed by Prof. David Lynn, who also heads the SAHMRI Computational and Systems Biology Program, one of 16 research programs at the institute. The group is currently funded by EMBL Australia Group Leader funding, The NHMRC, Cancer Australia, as well as several smaller grants and consists of five senior postdoctoral researchers, two research officers as well as PhD and honours students, who employ in vitro and in vivo experimental and clinical models coupled with systems biology approaches to investigate cancer and the immune system. On the bioinformatics side, the group leads the development of a wide range of bioinformatics applications including InnateDB.com, an internationally recognised systems biology platform. David has also led the computational biology aspects of €12 million European Commission funded cancer systems biology project.

Please see https://www.sahmriresearch.org/human-resources/careers/218 for a position description and to apply.
The position will remain open until a suitable candidate is identified.

Job website: http://www.sahmriresearch.org/human-resources/careers/218

Contact name: David Lynn

Contact email: david.lynn@sahmri.com



Research Officer/Senior Research Officer

Employer: The Walter and Eliza Hall Institute

Closing date: 10/04/2019

Brief position description: This position will lead research projects to identify regulatory mechanisms implicated in cancer plasticity and progression. The successful applicant will have strong analytical skills and experience in the analysis of complex, high-dimensional data, with an interest in cancer. This position also presents opportunities to participate in national and international collaborations, participate in projects with industry partners, and gain experience supervising research students.

Job website: http://www.wehi.edu.au/research-officer-senior-research-officer-davis-laboratory

Contact name: Melissa Davis

Contact email: davis.m@wehi.edu.au

Research Officer / Senior Research Officer - Bioinformatics/ Computational Biology

Employer: Garvan Institute of Medical Research

Closing date: This role will remain open until filled. As we will be reviewing applications as they are received, we encourage you to submit yours as soon as possible.

Brief position description: The Opportunity
We are seeking a Research Officer / Senior Research Officer to investigate the earliest steps in cancer initiation and evolution, integrating bioinformatic and population genetic methods. 

Reporting to Professor David Thomas, Laboratory Head – Genomic Cancer Medicine, the key responsibilities include:
• Planning and executing research
• Developing methods to extract quantitative, ultra-low frequency variation from sequence data derived from tumor and blood samples.
• Analysing ultra-low frequency clonal variation in in vitro clonal evolution under selective pressures;
• Applying these methods to quantitate clonal neoplastic events in an extremely cancer-prone population with Li-Fraumeni syndrome; and
• Analysing the whole genomes of more than 20 tumors arising in a cancer-prone family, aiming to identify the common pathways resulting in the formation of tumors in a defined genetic context.

The role will be offered full-time for 2 years in the first instance.

About You
The successful candidate will possess the following key skills and qualifications:
• A PhD in bioinformatics or computational biology, or equivalent experience in a related field.
• Proficiency with genotyping of human samples using massively parallel sequencing technology.
• Ability to manage and process large datasets in a POSIX environment.
• Fluency in at least one scripting language.
• Excellent communication skills and strong in team work and collaborative research
• Ability to conceptualise and execute a research plan to investigate an open-ended question, with minimal supervision.
• A proven track record e.g. publications, grants, software/tool development
• Familiarity with the ethical issues and guidelines relating to the use of human tissue and clinical data for research
• Statistical expertise and experience with the R programming language and key libraries is highly desirable.
• Knowledge of cancer biology and evolution is highly desirable.

Job website: http://garvan.applynow.net.au/jobs/GC201934

Contact name: Human Resources

Contact email: <not provided>



Junior Bioinformatics Developer

Employer: Longas

Closing date: 18/3/2019

Brief position description: We’re a biotech startup launched by UTS with Australia-based venture backing. We’re developing advanced DNA sequencing methods that should make a huge impact in the molecular biology research and diagnostics space. We’re looking for an enthusiastic junior developer to join us.

We have a maturing data processing pipeline that includes several existing bioinformatics applications as well as a some bespoke tools developed in house. We’re looking for someone to help us design, implement and optimise sequence analysis algorithms for de novo human and microbial genome assembly by creating and using long read sequencing data.

We’re a small team which means that we’re regularly touching the code at multiple places across the stack including: algorithm development, testing, data management, ops / deployment and QA. Our main algorithm is written primarily in Python and C++ but we support that code using several existing bioinformatics tools deployed on Linux, Amazon Web Services, Nextflow, Ansible, git and a few of the toys from Hashicorp.

We’re an agile team and we’re committed to continuously improving our code, our processes and of course, ourselves. We offer a friendly working environment with ability to spend some time working remotely.

Job website:

Contact name: Aaron Darling

Contact email: aaron.darling@longastech.com