Position title: Senior Research Bioinformatician
Employer: University of Sydney
Closing date: 11.30pm, 12 June 2021
Brief position description: The Sydney Informatics Hub have an exciting new opportunity for a Senior Research Bioinformatician to join their team. As the Senior Research Bioinformatician, you will provide expert leadership, advice and training to researchers and other users of the facility, in particular in the field of bioinformatics. This position will see you take on a range of duties including, but not limited to;
- providing bioinformatics technical and scientific expertise. Taking leadership, managing and delivering advanced user support in bioinformatics for internal and external researchers
- contributing to the coordination and unification of the University’s bioscience research communities and infrastructure by the Sydney Informatics Hub to facilitate ‘omics research throughout the University of Sydney and partner organisations
- designing experiments for bioinformatics research projects utilising University, national and commercial compute facilities, such as Artemis HPC, NCI Gadi HPC and Amazon Cloud to meet the needs of the project, researchers and/or other technical staff in the facility.
This is a full time, 3 year fixed term contract (until 2024) offering a base salary of $95K p.a., plus leave loading and a generous employer’s contribution to superannuation.
Job website: http://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Senior-Research-Bioinformatician_0080560-2
Contact name: Tracy Chew
Contact email: tracy.chew@sydney.edu.au
Bioinformatician/ Computational Biologist / Biostatistician @ VIC
Position title: Bioinformatician/ Computational Biologist / Biostatistician
Employer: Children's Medical Research Institute
Closing date: 25th June 2021
Brief position description: Children’s Medical Research Institute (CMRI) was Australia’s first dedicated paediatric research facility and is now one of the world’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. It is also home to the world-first proteomics project, ProCan, which is changing the way cancer is diagnosed and treated. 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 data scientist 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.
Job website: https://www.seek.com.au/job/52216861
Contact name: Qing Zhong
Contact email: qzhong@cmri.org.au
Scientist - Bioinformatician @ QLD
Position title: Scientist - Bioinformatician
Employer: Queensland Health
Closing date: 24-May-2021
Brief position description: Pathology Queensland are seeking a fixed term temporary full -time HP4 Scientist - Bioinformatician (for 5 months) to join our team. Located in Brisbane the primary purpose of this position is to provide bioinformatics advice and support to the scientists of Pathology Queensland, particularly around developing and supporting tools and pipelines for next generation sequencing analysis. The position will support, improve and automate software programs used as databases and scientific tools within laboratories and work with high performance and virtual and cloud computing used within the facility. If this sounds like the type of role for you we encourage you to apply.
Job website: http://smartjobs.qld.gov.au/jobs/QLD-HSQ372487
Contact name: Ben Lundie 0736468161
Computational Biologist @ NZ
Position title: Computational Biologist
Employer: Fonterra
Closing date: 31/05/2021
Brief position description: About us
We are a proud New Zealand Co-operative built by generations of farming whānau. We believe nutritious food is essential to sustain people today, and for future generations to thrive, which is why we challenge ourselves to find new ways to bring our dairy goodness to people around the world.
Located in Palmerston North, New Zealand, the Fonterra Research and Development Centre (FRDC) is home to a highly collegial team of around 300 qualified scientists, technologists and engineers – many of whom are the world’s leading experts in dairy science – and it is investing in new techniques with cutting edge technology right now!
About the opportunity
As an established researcher supporting the Food Assurance Science Team within Fonterra’s Research and Development Centre, you will be part of a multidisciplinary team working on world leading projects covering Microbiology, Chemistry and Biochemistry.
As Computational Biologist and part of the Data Programme team, you will contribute to produce sustained, significant commercial value for Fonterra in the area of Food Safety and Quality Science and Innovation through data analysis, interpretation and predictive modelling.
You will use your expertise to plan and lead research on the effective management of microbiological effects on the food chain. You will be part of a wider multi-disciplinary team of experts working in the areas of: Genomics, Metagenomics, Metabolomics, Risk Modelling and solutions (tools/app) development. You will have a passion for research, successful track record of delivering key goals, and enjoy working with a multidisciplinary team to deliver value to the business.
Key responsibilities:
Conduct modelling of biological systems and microorganisms to understand effects on dairy products
Develop algorithms, methods and models to understand biological systems and relationships
Provide scientific guidance through breadth, depth and currency of theoretical expertise in specialized areas, applying this to enhance the capacity of our R&D function
Maintain subject matter expertise; identify and pursue opportunities for professional development
Contribute to Data Programme and Food Assurance Science direction, including identification, evaluation and presentation of opportunities relevant to business initiatives
Deliver timely, self-critiqued quality research outputs according to prioritised business needs
About you
Your strong communication skills and an ability to tell a story using data is key. Experience in computational or predictive/systems biology is necessary, however we are open to applicants from any industry where you can clearly demonstrate the core skill set.
With a passion for delivering results, engaging across the business, and bringing numbers to life, this is where you will shine.
Key skills and experience:
Degree (Masters/PhD) or extensive experience in the Biological Sciences, Computer Science, or Statistics is favoured.
Expertise in modelling of biological systems
Extensive experience with applied predictive modelling for quantitative risk analysis
Experience with Food Safety Systems
Experience across a range of computing languages and systems
Ability to identify and incorporate new knowledge
Willingness to help build wider capabilities within a team
Our Story
Whanaungatanga, our Co-operative spirit gives us all a common strength and purpose. Manaakitanga is how we care for all our people who are at the heart of what we do, we want our farmers, employees, customers and communities to thrive. Kaitiakitanga, ensures we take care of the land. We are committed to farming in a way that regenerates our farms and environment for future generations.
Whakaohooho constantly inspires ourselves and each other with great career development opportunities and benefits. We enable flexibility and balance to suit everyone’s lifestyles and choices.
Our Co-operative is a place where everyone can be themselves, feel empowered to do their best.
Sound good to you? Come join our whānau. You, me, Us Together Tᾱtou tᾱtou.
With unparalleled scope, visibility and challenge this opportunity is not to be missed. If you’re results driven and ready for your next big career move this could be for you – Apply now!
Please note that all applications must be made online via the Fonterra careers site. Applications made via email can not be considered.
Job website: https://careers.fonterra.com/job/Palmerston-North-Computational-Biologist-Microbiologist/675711001/
Contact name: Tanja Lohr
Contact email: tanja.lohr2@fonterra.com
Computational Biologist/Microbiologist @ NZ
Position title: Computational Biologist/Microbiologist
Employer: Fonterra
Closing date: 31/5/2020
Brief position description: About us
We are a proud New Zealand Co-operative built by generations of farming whānau. We believe nutritious food is essential to sustain people today, and for future generations to thrive, which is why we challenge ourselves to find new ways to bring our dairy goodness to people around the world.
Located in Palmerston North, New Zealand, the Fonterra Research and Development Centre (FRDC) is home to a highly collegial team of around 300 qualified scientists, technologists and engineers – many of whom are the world’s leading experts in dairy science – and it is investing in new techniques with cutting edge technology right now!
About the opportunity
As an established researcher supporting the Food Assurance Science Team within Fonterra’s Research and Development Centre, you will be part of a multidisciplinary team working on world leading projects covering Microbiology, Chemistry and Biochemistry.
As Computational Biologist and part of the Data Programme team, you will contribute to produce sustained, significant commercial value for Fonterra in the area of Food Safety and Quality Science and Innovation through data analysis, interpretation and predictive modelling.
You will use your expertise to plan and lead research on the effective management of microbiological effects on the food chain. You will be part of a wider multi-disciplinary team of experts working in the areas of: Genomics, Metagenomics, Metabolomics, Risk Modelling and solutions (tools/app) development. You will have a passion for research, successful track record of delivering key goals, and enjoy working with a multidisciplinary team to deliver value to the business.
Key responsibilities:
• Conduct modelling of biological systems and microorganisms to understand effects on dairy products
• Develop algorithms, methods and models to understand biological systems and relationships
• Provide scientific guidance through breadth, depth and currency of theoretical expertise in specialized areas, applying this to enhance the capacity of our R&D function
• Maintain subject matter expertise; identify and pursue opportunities for professional development
• Contribute to Data Programme and Food Assurance Science direction, including identification, evaluation and presentation of opportunities relevant to business initiatives
• Deliver timely, self-critiqued quality research outputs according to prioritised business needs
About you
Your strong communication skills and an ability to tell a story using data is key. Experience in computational or predictive/systems biology is necessary, however we are open to applicants from any industry where you can clearly demonstrate the core skill set.
With a passion for delivering results, engaging across the business, and bringing numbers to life, this is where you will shine.
Key skills and experience:
• Degree (Masters/PhD) or extensive experience in the Biological Sciences, Computer Science, or Statistics is favoured.
• Expertise in modelling of biological systems
• Extensive experience with applied predictive modelling for quantitative risk analysis
• Experience with Food Safety Systems
• Experience across a range of computing languages and systems
• Ability to identify and incorporate new knowledge
• Willingness to help build wider capabilities within a team
Our Story
Whanaungatanga, our Co-operative spirit gives us all a common strength and purpose. Manaakitanga is how we care for all our people who are at the heart of what we do, we want our farmers, employees, customers and communities to thrive. Kaitiakitanga, ensures we take care of the land. We are committed to farming in a way that regenerates our farms and environment for future generations.
Whakaohooho constantly inspires ourselves and each other with great career development opportunities and benefits. We enable flexibility and balance to suit everyone’s lifestyles and choices.
Our Co-operative is a place where everyone can be themselves, feel empowered to do their best.
Sound good to you? Come join our whānau. You, me, Us Together Tᾱtou tᾱtou.
With unparalleled scope, visibility and challenge this opportunity is not to be missed. If you’re results driven and ready for your next big career move this could be for you – Apply now!
Job website: http://career10.successfactors.com/sfcareer/jobreqcareer?jobId=4428&company=C0001206658P
Contact name: Tanja Lohr
Contact email: tanja.lohr2@fonterra.com
Postdoctoral Research Fellow/Research Fellow @ QLD
Position title: Postdoctoral Research Fellow/Research Fellow
Employer: The University of Queensland
Closing date: 3 June 2021
Brief position description: The Postdoctoral Research Fellow/Research Fellow will be a part of the Professor Di Yu’s Research Group to undertake internationally competitive research in the areas of immunology. The fellow will conduct Bioinformatic Research to investigate immune system, with an emphasis to apply and develop algorithms and computational methodology to model
immune responses in human diseases and immunotherapies. The role will be a leading position in the Group and will involve driving forward research projects and supervision of students.
We are seeking candidates who have completed (or near completion of a relevant PhD in the area of bioinformatics, mathematics/statistics, computational sciences, immunology, or a comparable data analytic discipline). Experience in TCR or BCR repertoire analysis is highly regarded.
Job website: http://www.seek.com.au/job/52204255?type=standout#searchRequestToken=90186ff8-0618-4ab6-9971-b392c71c8536
Contact name: Di Yu
Contact email: di.yu@uq.edu.au
Computational Biologist @ NSW
Position title: Computational Biologist
Employer: Garvan Institute of Medical Research
Closing date: 30/06/2021
Brief position description: The Garvan Institute of Medical Research brings together world-leading clinicians and basic and translational researchers to break down barriers between traditional scientific disciplines and find solutions to disease. Founded in 1963, Garvan’s mission is to harness all the information encoded in our genome to better diagnose, treat, predict and prevent disease.
Our scientists work across four intersecting research themes: medical genomics, epigenetics, and cellular genomics; diseases of immunity and inflammation; cancer; and diseases of ageing affecting bone, brain and metabolism. In addition, Garvan has three major Centres: The Kinghorn Centre for Clinical Genomics, the Garvan-Weizmann Centre for Cellular Genomics, and the Centre for Population Genomics.
This position is based in the Centre for Population Genomics (CPG), a joint initiative of the Garvan Institute of Medical Research (Garvan) in Sydney and the Murdoch Children’s Research Institute (MCRI) in Melbourne.
CPG’s vision is a world in which genomic information enables comprehensive disease prediction, accurate diagnosis and effective therapeutics for all people. CPG’s purpose is: To establish respectful partnerships with diverse communities, collect and analyse genomic data at transformative scale and drive genomic discovery and equitable genomic medicine in Australia.
CPG is led by experts in community engagement, software development, genomic analysis and project management. Director Daniel MacArthur previously served as the co-director of Medical and Population Genetics at the Broad Institute of MIT and Harvard, where he led the development of the Genome Aggregation Database (gnomAD), the largest and most widely used collection of human DNA sequencing data in the world.
The Opportunity
We are seeking a Computational Biologist to contribute to the development of novel analysis pipelines for large-scale genomic datasets, to apply these pipelines to increasingly large human genomic data sets, and to work closely with other Centre staff and external researchers to carry out and publish novel analyses of the data. The Computational Biologist will join a highly collaborative team including other analysis and methods development staff, software engineers, project managers, communities specialists, and trainees.
As part of the mission of the Centre for Population Genomics, this team will be responsible for handling data generated through new sequencing projects as well as the aggregation of public resources to create a new resource for human genetics that reflects the remarkable population diversity of Australia. The team will also manage genome, exome, RNA-seq and other genomic data sets from rare disease patients and their family members, with the goal of improving the diagnosis of severe genetic diseases. These analyses will be performed within a scalable cloud-based computational platform. The resulting data sets and software will be widely shared with the broader research community, maximising their impact on science and health outcomes.
While this position will involve direct exposure to cutting-edge genomic science, the measures of success and promotion will be on developing and deploying complex analysis methods at scale, and not on traditional academic metrics such as leading publications. These positions are centrally funded and are not dependent on fellowships or other fundraising. These roles will be best-suited to individuals with a strong track record of scientific output who are interested in continuing to contribute to impactful science but not in the traditional academic career track.
To adapt to the impact of COVID-19, we have launched the Centre under a completely remote model and are open to remote positions over the longer term.
This is a 3-year full-time position with an annual salary range between $92,000 - $120,000k taking into consideration skillset and experience, plus superannuation and salary packaging benefits and the possibility to extend.
Key Responsibilities
The Computational Biologist will be part of the Centre’s Analysis Team, which will be responsible for developing scalable pipelines for complex genomic analyses, for working closely with the Centre’s software development team to implement these at production scale across data from tens of thousands of individuals, and for performing quality control and analysis across the resulting data sets. This team will be composed of members with diverse skills across computational biology, statistical genetics, and population genetics, working collaboratively to create these pipelines, perform analyses, and contribute extensively to the publication of high-impact science.
The key responsibilities include:
Developing novel approaches, and rigorously benchmarking existing approaches, for the analysis of large-scale genome sequencing, RNA-seq, single-cell RNA-seq, and other genomic data types across tens of thousands of human samples
Developing prototype code for analysis approaches, and working closely with a software engineering team to ensure this code can be deployed at scale and shared as open-source software
Performing rigorous quality control and analysis of massive genomic data sets
Meeting regularly with Centre trainees and other scientific staff to identify major challenges in data handling and analysis, and work proactively with other team members to define solutions
Contributing actively to scientific discussions around the best approaches to make sense of the large data sets generated and handled by the Centre
Contributing actively to the development of programming and analysis best practices through regular code review meetings and other activities such as pair programming
About You
The key skills and experience include:
Either a masters or PhD in computational biology, functional genomics, machine learning, statistics, or a related field, or an equivalent total amount of direct work experience in these fields
Considerable experience with Python and R, or similar
Demonstrated experience working in high-performance or cloud computing environments
Demonstrated experience with version control and software repositories
Direct experience in performing quality control and analysis of genomic data sets or other complex data types
Highly autonomous and self-motivated: able to define and manage the execution of novel strategies for analysis across their domain of expertise
Good written communication skills: able to contribute effectively to papers and technical reports
A genuine passion for open-source software development, and contributing code to the wider computational biology ecosystem
Highly collaborative: more focused on solving important biological and medical problems by working with others than with securing individual credit and willing to engage with other team members from a diverse range of background to execute on complex scientific tasks
A problem-solving mentality: able to navigate a complex and dynamic series of technical obstacles, and to pivot rapidly when needed, to build a first-of-its-kind research project; someone who identifies problems even if they fall outside their immediate mandate, and works with other team members to solve them
DESIRABLE SKILLS
Direct experience with cloud computing, and the analysis of very large genomic data sets, would be beneficial
Direct experience in complex data visualization or machine learning approaches would also be a plus
How to Apply
To apply for this position, please submit your application with a CV and cover letter as one document, stating why you are interested in this role. We are reviewing applications as they are received. If you think you’re the right person for this role, we’d love to hear how your capabilities, achievements and experience set you apart. Only applicants with full working rights in Australia are eligible to apply for this role.
Job website: http://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Computational-Biologist_PRF5972
Contact name: Michelle Earle
Contact email: talent@garvan.org.au
Data Scientist Proteomics @ VIC
Position title: Data Scientist Proteomics
Employer: Children's Medical Research Institute
Closing date: 28 May 2021
Brief position description: A data scientist 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.
Job website: https://www.seek.com.au/job/52216861
Contact name: Qing Zhong
Contact email: qzhong@cmri.org.au
Postdoctoral Fellow Epilepsy Genetics @ Wellington
Position title: Postdoctoral Fellow Epilepsy Genetics
Employer: University of Otago Wellington
Closing date: 31-05-2021
Brief position description: The successful applicant will be working on the analysis of next-generation sequencing data from epilepsy family and cohort studies collaboratively with the Bahlo lab, WEHI, Melbourne. The role also requires the organisation and management of multiple sub-studies. A keen interest in epilepsy genetics is required.
https://otago.taleo.net/careersection/2/jobdetail.ftl
Job website: http://otago.taleo.net/careersection/2/jobdetail.ftl
Contact name: Lynette Sadleir
Contact email: lynette.sadleir@otago.ac.nz
Senior Bioinformatician @ VIC
Position title: Senior Bioinformatician
Employer: University of Melbourne
Closing date: 18/5/2021
Brief position description: As part of the new University of Melbourne - Illumina Genomics Hub we are looking for a senior bioinformatician to lead the development of methods and workflows for the rapid analysis and management of whole genome, transcriptome and ctDNA sequencing data from cancer patients.
We expect you to have experience with Python, Snakemake or other workflow languages, a solid understanding of programming best practices and ideally familiarity with cloud computing environments. Your responsibilities are flexible and depend on both your interests and expertise. A background in cancer genomics is not a requirement, but you should be passionate about open source software development and establishing a genomics platform to change cancer patient care.
Job website: http://umccr.org/work-with-us/
Contact name: Oliver Hofmann
Contact email: oliver.hofmann@unimelb.edu.au