Position title: Bioinformatician
Employer: Murdoch University - Australian National Phenome Centre
Closing date: 09/08/2020
Brief position description: This position is an opportunity for an experienced Bioinformatician or researcher to join this unique Centre under the scientific leadership of Professor Elaine Holmes (Director of CCSM and WA Premier’s Fellow in Phenomics and Systems Medicine) and Professor Jeremy Nicholson (Executive Director of the ANPC and the Pro Vice Chancellor Health Futures Institute). CCSM Bioinformaticians collate, manage and study metabolic phenotyping data using dedicated in-house databases and informatics pipelines; key duties include the application of data (pre-) processing workflows and to perform data modelling tasks for statistical evaluation, result visualisation and contextualisation within respective study frameworks.
Job website: http://webapps7.murdoch.edu.au/pls/apex/f?p=2903:VIEW_JOB:0:::5:P5_ID:8008
Contact name: sara lim
Contact email: sara.lim@murdoch.edu.au
Senior/Research Scientist - Translational Bioinformatics @ Melbourne
Position title: Senior/Research Scientist - Translational Bioinformatics
Employer: CSL Limited
Closing date: August 9, 2020
Brief position description: We have an opportunity available for a Senior/Research Scientist, Translational Bioinformatics to join our Research team located at Bio21 Institute. In this position, you will provide scientific and technical expertise to help answer biomedical questions at the pre-clinical and clinical stage of drug development using advanced bioinformatic methods. You will expand CSL’s research capability by supporting the Global Translational Science group in order to derive biological insights from in-house high-throughput sequencing data and large-scale genomic data available in public and commercial databases. Furthermore, you will devise an integrative approach to analyze multiple types of data obtained from in-house and external resources in order to answer key questions in the areas of biomarker discovery and understanding of mechanisms of action of targets, drug candidates and diseases of interest.
Working closely with the Data Science Group, the Translational Science Group and other Research, you will set project objectives and determine and implement data generation, analysis and software development strategies. You will also work alongside CSL’s external collaborators including spending time in their research laboratories as required to enable alignment of objectives and strategies for bioinformatics methods.
Reporting into the Senior Manager Bioinformatics & AI in the Global Research Data Science Group, you will be responsible to:
Provide input into thedesign of next-generation sequencing experiments including RNA-seq, DNA-seq, Rep-seq, etc.
Carry outbioinformatic analyses on datasets generated in-house from different NGS and array experiments or collected from external databases.
Contribute to theinterpretation and reporting of the biological insights derived from data analytics based on GSP guidelines.
Work with the Translational Science group to establish an in-house capability toutilize genetic and genomic variants in order to improve biomarker discovery, understanding of MoA, patient stratification strategies and prioritisation of indications for drug targets.
Work with the Translational Science group tobenchmark and adapt new sequencing technologies (e.g. long read and single cell sequencing) in order to answer challenging research questions across multiple drug discovery projects.
Work with the Translational Science group tointegrate data from external databases (e.g., GTEx, ExAC, ENCODE, UK Biobank) into CSL Research computational platforms and improve upon current data mining practices.
Work with in-house software developers to develop fullyautomated workflows that help accelerate Translational Science data processing activities.
Work with Research and IT data managers in order todevise new processes for managing translational data and ensure compliance with CSL’s regulatory requirements (e.g., Good Scientific Practices, etc.).
Contribute toCSL’s growing collaboration network with academic laboratories and industry partners locally and globally.
To be successful in this role, you will have:
PhD in computational biology, bioinformatics, computer science, statistical genetics, or a related discipline with significant computational and biomedical components coupled with Bachelor’s or Master’s degree in biological sciences
3+ years of post-doctoral experience in biomedical data analytics in a highly collaborative, interdisciplinary environment in academia and/or industry with a focus on translational research.
More information and application at https://www.linkedin.com/jobs/view/1951820997/
Job website: http://www.linkedin.com/jobs/view/1951820997/
Contact name: Sophie Saba
Contact email: Sophie.Saba@csl.com.au
Research officer @ Melbourne
Position title: Research officer
Employer: University of Melbourne
Closing date: 12th August 2020
Brief position description: We are seeking a Research Officer in bioinformatics to join the research group of Prof Lachlan Coin within the Department of Microbiology and Immunology at the Doherty Institute. The applicant should have a PhD in computer science, bioinformatics or another relevant discipline. Previous experience in genetics, genomics, computational biology or bioinformatics is essential and strong programming skills are required. This Research Officer will be expected to develop a research program in computational and statistical analysis of multi-omics datasets, including long-read RNA and DNA sequencing data, with application to the area of infectious disease. The candidate will develop a strong program of collaborative projects with other researchers in the Doherty Institute. A significant number of COVID related research projects are in progress and the candidate will develop and apply research tools in this area. The candidate will be responsible for initiating new areas of investigation and developing an independent program of research.
Job website: http://jobs.unimelb.edu.au/caw/en/job/900808/research-officer-bioinformatics
Contact name: Lachlan Coin
Contact email: lachlan.coin@unimelb.edu.au
Postdoctoral Bioinformatician @ Melbourne
Position title: Postdoctoral Bioinformatician
Employer: Baker Institute
Closing date: Thursday, 13 August 2020
Brief position description: We are looking for a Postdoctoral Bioinformatician. The successful candidate will be based at the Baker Institute in the Systems Genomics and Metabolomics Labs and supervised by A/Prof Michael Inouye (www.inouyelab.org) and Prof Peter Meikle (https://www.baker.edu.au/research/laboratories/metabolomics). The successful candidate's main roles will be (i) to provide expert biostatistical and bioinformatic analysis to perform risk prediction using a variety of data types, including polygenic risk scores and metabolomic data. (ii) develop new risk prediction methodologies that may transform how we screen for and prevent cardiovascular disease. (iii) oversee project management for sample processing and data management.
Job website: http://www.seek.com.au/job/50240119
Contact name: Mike Inouye
Contact email: michael.inouye@baker.edu.au
Research Associate/Fellow - Fungal and Plant Genome Bioinformatics @ Perth
Position title: Research Associate/Fellow - Fungal and Plant Genome Bioinformatics
Employer: Curtin University
Closing date: Friday 7 August, 10:00 PM AWST
Brief position description: Centre for Crop and Disease Management (CCDM)
The Centre for Crop and Disease Management (CCDM) at Curtin University launched in April 2014 as a co-investment between the Grains Research and Development Corporation (GRDC) and Curtin University. The CCDM is a major investment in research training, crop disease-focussed research activity and infrastructure. The Centre includes a new high quality research facility at Curtin, used for research and development to sustainably reduce the impact of important grain pathogens and ultimately, to provide solutions to reduce the impact of diseases on farm business resilience. The Centre’s activities integrate molecular sciences with field- based agronomy to generate new avenues to breed disease resistant germplasm and to assist farmers to sustainably utilise a full range of disease control options. The CCDM has three themes of activity with several projects in each theme. There is strong interdisciplinary collaboration within the Centre and active collaboration with leading national and international scientists.
Research Theme B – Cereal Diseases
This position is embedded in Theme B of the CCDM which focusses on cereal disease research and targets a range of costly and complex diseases of wheat and barley. Yield and economic losses of both of these crops remain a significant issue for the Australian grains industry. CCDM conducts pre-breeding research using a biochemical, genetic and ‘omic’ approaches to help breeders develop disease-resistant varieties as an effective, long-term solution to crop disease control. Our researchers also explore the interaction of pathogens during co-infection and the resulting host responses.
This role is a unique opportunity for the successful candidate to be part of the dynamic team in Theme B to substantially improve yield stability for Australian grain growers.
Responsibilities of the role include
Carry out fungal and wheat genome assemblies, gene annotation, RNAseq and pan-genomics analysis.
Adopt/modify/develop computational pipelines for various bioinformatics tasks.
Identify potential effector and plant receptor candidates.
Participate in group activities.
Supervise staff and students.
You will bring to the role
A Ph.D. in a relevant subject area (e.g. life science or bioinformatics). Candidates with theses under examination may also be considered.
Experience in programming languages (e.g. Perl, Python, R, Bash, etc.) and their scientific application.
Experience of using methodologies associated with bioinformatics and scientific computing.
Ability to write scripts or programs to support common bioinformatics/analysis tasks.
Prior experience with genome assembly, gene annotation, transcriptome analysis and comparative genomics.
Demonstrated commitment to publish the results of research in scientific journals.
Sound interpersonal skills, with the ability to work independently and as a team.
Strong oral and written communication skills.
Demonstrated experience in statistics and experimental design as applied to molecular biology.
Prior experience using high-performance supercomputing (desirable).
Experience with life sciences, molecular biology and/or host-microbe interactions (desirable).
Why choose Curtin?
Easily accessible location with great parking, bus station and end of trip facilities!
Vibrant campus with gym, childcare and medical services, and an array of food trucks, coffee shops and restaurants!
We are ranked in the top 1% of universities worldwide (ARWU 2018 and QS World University Rankings 2019)
A major global player, with well-integrated campuses in Singapore, Malaysia, Mauritius and Dubai.
The University has recently been named as one of Australia’s Inclusive Employers for 2019-2020 by the Diversity Council of Australia (DCA).
For further information on Curtin and all of our employee benefits visit https://about.curtin.edu.au/jobs/
Next steps
Please apply on-line with a cover letter, resume and documentation addressing the selection criteria to enable us to assess your suitability for the role. If you require reasonable accommodation to participate in the recruitment process please advise in your cover letter.
To view a copy of the role’s Position Description, please copy and paste the following link into you’re your browser
https://cloudstor.aarnet.edu.au/sender/?s=download&token=7b6c0840-7eae-4150-a0c6-293689327e1d
Applications close: Friday 7 August, 10:00 PM AWST
Contact details
If you have a query in relation to the application process please contact our careers team on curtincareers@curtin.edu.au or call Natalie Munro on 08 9266 2280.
If you wish to speak to a technical specialist please contact Huyen Phan (Project lead) on 08 9266 2099 or huyenphan.phan@curtin.edu.au.
Disclaimer
Curtin reserves the right at its sole discretion to withdraw from the recruitment process, not to make an appointment, or to appoint by invitation, at any time. We reserve the right to remove the advert earlier than the date on the advert.
Job website: http://www.seek.com.au/job/50221947?type=standout#searchRequestToken=e03a130f-1633-442e-a56c-0f5694f30bed
Contact name: Huyen Phan
Contact email: huyenphan.phan@curtin.edu.au
Research Computing Engineer or Senior Research Computing Engineer @ Melbourne
Position title: Research Computing Engineer or Senior Research Computing Engineer
Employer: The Walter and Eliza Hall Institute of Medical Research
Closing date: 23 July 2020
Brief position description: This is a science enablement role, the purpose of which is to develop solutions for computational science in complex environments spanning traditional on-premise facilities to cloud and complex hybrid execution models. This will involve areas such as pipeline and pipeline tool development, data management and data movement tools, web site development, database development, machine learning pipelines, collaborative planning of hardware and software infrastructure, etc. In addition, the incumbent will work with IT and researchers to develop policy and guide regular upgrades to our compute infrastructure.
Job website: https://www.wehi.edu.au/research-computing-engineer-or-senior-research-computing-engineer
Contact name: Evan Thomas
Contact email: thomas.e@wehi.edu.au
Bioinformatics Research Fellow @ SA
Position title: Bioinformatics Research Fellow
Employer: SA Health
Closing date: 17/7/2020
Brief position description: Bioinformatics Research Fellow (Research Level GFSc2)
• Based in the Centre for Cancer Biology (CCB)
• Full-time, bioinformatics/genome analysis vacancy of 1-year fixed term contract
• Total Indicative Renumeration: GFSc2, $92,017-$105,461 per annum
About the Job
For this position, we are seeking a bioinformatician to work jointly on the analysis of diverse NGS data with research groups throughout the CCB. You will implement and conduct high quality scientific research and report on research outcomes in line with research goals and milestones of the individual laboratories. Data types that will be encountered originate from DNA-Seq, coding and non-coding RNA-Seq, ChIP-Seq, HITS-CLIP, ATAC-Seq, single cell sequencing among others. You will be working both with short read Illumina and long read data.
About us
The Centre for Cancer Biology is an alliance between the University of South Australia and SA Pathology and boasts the largest concentration of fundamental cancer research in the state. Research groups within the CCB use Next Generation Sequencing and other high throughput technologies to study the fundamental causes of cancer and to find new ways to prevent and treat disease. Members of a large team of bioinformaticians work together with CCB researchers to analyse and interpret the resultant data.
The bioinformatics group of the CCB is located within the ACRF SA Cancer Genomics Facility as well as the CCB’s new laboratories in the Adelaide’s BioMed City. It is the largest biomedical bioinformatics group in South Australia, consisting of approx. 15 staff members and students. Group members are physically co-located but are employed through, and work with, individual CCB research groups, the Genomics Facility or SA Pathology’s diagnostic arm.
Skills and Experience
• To be eligible, you will have a post-graduate qualification in bioinformatics and/or statistics and/or computational science or related disciplines.
• You will also have competency in recording, analysing, presenting and disseminating research to stakeholders including the preparation of papers for high quality publications or posters for conference presentations - amongst other criteria as listed in the position description.
• To be successful, you will have high level of interpersonal, communications and organisational skills along with knowledge of scientific terminology relevant to the research projects.
Application
Applications for this position must be lodged through https://www.sahealth.sa.gov.au/careers (Job ID: 729725) and the application deadline is 17/07/2020.
Job website: http://www.sahealth.sa.gov.au/careers
Contact name: Andreas Schreiber
Contact email: andreas.schreiber@sa.gov.au
Research Officer / Post Doc @ Sydney
Position title: Research Officer / Post Doc
Employer: Garvan Institute of Medical Research
Closing date: 19/06/2020
Brief position description: The Garvan Institute of Medical Research (Garvan) is one of Australia’s leading medical research institutes, with over 600 scientists, students and support staff. Its mission is to make significant contributions to medical research that will change the directions of science and medicine and have major impacts on human health. Garvan’s research encompasses immunology, bone biology, neuroscience, diabetes and metabolism, cancer, and genomics and epigenetics. These research activities are organised within four themes: Cancer, Inflammatory Diseases, Healthy Aging, and Genomics, and three Centres: The Kinghorn Centre for Clinical Genomics, The Garvan-Weizmann Centre for Cellular Genomics and The Centre for Population Genomics.
The Garvan‐Weizmann Centre for Cellular Genomics (GWCCG) within the Institute houses a cellular genomics facility with cutting edge services for researchers and industry partners. The GWCCG team develops new technologies to solve critical problems and run research programs that focus on both fundamental and translational cellular genomics. The Garvan‐Weizmann Centre is one of the few global sites where state‐of‐the‐art technologies are seamlessly integrated, including the latest platforms in flow cytometry, microfluidics, genomics, high‐performance computing, and bioinformatics.
The Opportunity
Reporting to Group Leader Dr. Sara Ballouz in GWCCG, we are seeking an enthusiastic and talented postdoctoral fellow to join our research team for a 2-year full-time contract with a high possibility to extend. Broadly, the research officer will investigate and develop tools to study the molecular mechanisms that contribute to the development of sex differences in autoimmune diseases.
Key Responsibilities
Developing approaches to assess transcriptomic data from autoimmune patients
Studying the differences in the presentation of autoimmunity in males and females
Ensuring original contributions in research that creatively address questions of science in their field of expertise
Gain or sustain a significant international scientific reputation by effectively presenting high impact material at the most significant national and international scientific meetings in their field
Completion of research projects in an efficient and timely manner, with outcomes published under joint authorship in peer-reviewed journals
Publish papers in leading scientific journals
Stay up-to-date on advances in computational and functional genomics
About You
In order to be successful in this position, you will demonstrate the following key skills and attributes. The incumbent should have a PhD in an appropriate area of medical research. A background in cellular genomics and computational biology is desirable, but not essential.
A PhD (or soon to be awarded) in bioinformatics, computational biology, genomics or related fields
Able to conduct independent research with limited supervision
Track record of publications and conference presentations relative to opportunity
Able to work in a team and collaborate across disciplines
Strong interpersonal skills
Possess an innovative approach to problem solving
Strong expertise in functional genomics
Expert in R, Python or equivalent
How to Apply
Please submit your application with a CV and a cover letter. The position will remain open until 19, July 2020. As we will be reviewing applications as they are received, we encourage you to submit yours as soon as possible through our company website.
Only applicants with full working rights in Australia are eligible to apply for this role.
Job website: https://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Research-Officer---Post-Doc_PRF5490
Contact name: Michelle Earle
Contact email: m.earle@garvan.org.au
3 Bioinformatics/Computational Biologist Positions
SAHMRI315
FTC - Full-time Contract
Applications close Monday 06, July 2020
South Australian Genomics Centre
Full-Time, 2 Year Contract
The South Australian Genomics Centre (SAGC) has recently been established to support researchers across the genomics community in South Australia, nationally and internationally. The SAGC is a partnership between SAHMRI, the 3 universities in SA, the Australian Genome Research Facility, and the Australian Wine Research Institute. SAGC will provide a broad range of sequencing services that will be supported by a dedicated Bioinformatics Platform.
SAGC is seeking three talented bioinformaticians to join the SAGC Bioinformatics Platform. They will support users of the facility and develop advanced and customised approaches for data analysis, integration and visualisation. Staff in the Bioinformatics Platform will also engage in education and outreach activities to develop researcher capabilities to analyse and interpret their own data.
The successful candidates will join existing bioinformatics/computational biology staff in the SAGC to establish the SAGC Bioinformatics Platform. Successful candidates will need to demonstrate proven skills and experience in bioinformatics/computational biology (or closely related field) and must be able to manage multiple projects and customers simultaneously. Two of these positions will primarily be based at the SAGC hub facility at SAHMRI, while the other position will focus on supporting plant and environmental genomics and will be primarily based at AGRF’s facilities on the University of Adelaide’s Waite Campus.
About the SAGC
The SAGC will support genomics researchers, industry partners, and clinicians working in animal, plant, environmental, microbial and human genomics, and will provide a broad range of services including RNA sequencing, small RNA sequencing, exome and genome sequencing, epigenomics, metagenomics, single cell genomics and a range of other bespoke methods. These services will be supported by a dedicated Bioinformatics Platform that will support users of the facility and will develop advanced and customised approaches for data analysis, integration and visualisation. Staff in the Bioinformatics Platform will also engage in education and outreach activities to develop researcher capabilities to analyse and interpret their own data.
About the Role
Key responsibilities include:
Provide collaborative analysis support to SAGC clients with the bioinformatics components of their projects.
Implement and develop efficient pipelines for the QC, analysis, and visualisation of a wide range of genomics data and where necessary develop new custom bioinformatics methods and/or pipelines.
Develop methods to aid SAGC facility users to integrate their genomics data with other types of data including proteomics and metabolomics.
Undertake education and outreach activities to support the research community in SA to enhance skills in bioinformatics/computational biology.
Lead or assist with drafting publications relating to the projects.
Contribute to development of competitive funding applications.
About You
The successful candidate will possess the following key attributes:
PhD or MSc in Bioinformatics, Computer Science, Physics, Statistics or closely related field
A strong track record in bioinformatics as evidenced by prior publications in high impact journals in the field.
Prior experience working in a high-performance computing environment.
Programming skills in one or several of the following: Python, R, C/C++, Perl, SQL, Go or Java.
Prior experience in bioinformatics software/package development.
Prior experience working in at least some of the following areas is essential:
High-throughput sequencing, statistics, data integration, and analysis in omics techniques such as genomics, transcriptomics, metagenomics, metabolomics or proteomics.
Demonstrated experience in implementing FAIR Data Principles (Findable, Accessible, Interoperable, Reusable)
Demonstrated problem solving and communication skills.
Must be highly collaborative, be a strong team player and be able to manage multiple ongoing projects.
Desirable
Prior experience in providing bioinformatics support in a research environment would be a strong asset.
Prior experience in plant genomics; incl. genome assembly.
Prior experience in the analysis of single cell genomics data.
Prior experience in student supervision and other education and outreach activities.
Prior experience in writing competitive funding applications.
For a copy of the position description, please click here.
Applications should include a cover letter that briefly summarises their relevant qualifications, experience, knowledge and skills, as listed in the Position Description.
For a confidential discussion and more information, please contact interim SAGC Scientific Director, Prof. David Lynn at David.Lynn@sahmri.com
Applications close: - 6th July 2020, 5pm
Aboriginal and Torres Strait Islander people are strongly encouraged to apply
SAHMRI is a member of the Athena SWAN Science in Australia Gender Equity program. We have been awarded Bronze status for our commitment to advancing the careers of women, trans and gender diverse individuals in STEMM.
Research Fellow - real-time phylogenetics @ Sydney
Position title: Research Fellow - real-time phylogenetics
Employer: University of Technology Sydney
Closing date: June 30 2020
Brief position description: The UTS ithree institute is looking to appoint a Research Fellow to work on a project looking at real-time phylogenetics for food-borne outbreak surveillance. The role of the successful applicant will be tailored to their scientific background and interests. A potential area of research includes developing and publishing novel theorems regarding statistical efficiency of sequential Monte Carlo with an emphasis on online phylogenetics. Alternatively the project can focus on the development of real-time surveillance algorithms to detect and track bacterial and viral outbreaks and analyse microbial data using bioinformatic tools. You will produce high quality publications, and deliver presentations at research seminars and international conferences. You may also have the opportunity to engage in tutorial development and delivery.
Working alongside experts in the field, this is an ideal opportunity for an early career researcher to contribute to collaborative and innovative research while developing and enhancing their own research profile. The successful applicant will work closely with researchers from the NSW Department of Primary Industries at the Elizabeth Macarthur Agricultural Institute. This position also provides substantial opportunities to work with international collaborators from the USA and UK.
About you:
For a theory-focused project you will have previous research experience in mathematical statistics, statistical physics, Bayesian statistics, and/or computational statistics (Monte Carlo methodology, sequential Monte Carlo, Markov chain Monte Carlo). For a computational or applied project you will have previous research experience in data science with solid skills in bioinformatics and computer science with proven skills in programming languages such as R, python, C++ and java.
You will also have:
● A strong writing ability demonstrated by a developing track record of peer reviewed publications.
● A PhD degree in statistics, mathematics, physics, computer science, bioinformatics, engineering or a related quantitative field.
A demonstrated interest in further developing skills in HPC and cloud computing; and applying quantitative skills to biological problems related to the field of phylogenetics and evolutionary biology would be highly regarded.
About the position:
● Early career research role: level A or B
● Full-time role for fixed term of 2 years
More information and a position statement available on the UTS website.
Job website: https://bit.ly/IRC161803
Contact name: Mathieu Fourment
Contact email: mathieu.fourment@uts.edu.au