Position title: Senior Bioinformatician, Bioinformatician, or Computational Biologist (depending on experience)
Employer: Seonix Bio
Closing date: 12/6/22
Brief position description: Seonix Bio is a start-up company developing world leading technology to identify those at genetic risk of glaucoma so they can be diagnosed and treated earlier. Glaucoma is the world’s leading cause of irreversible blindness with 80 million sufferers worldwide, and is treatable if discovered early. Yet, 50% of glaucoma is currently undiagnosed. Seonix believes there is a major opportunity to transform clinical glaucoma care and reduce preventable blindness. Seonix’s technology is based on seminal research into a polygenic risk score for glaucoma, published in Nature Genetics.
Seonix is seeking a senior bioinformatician, bioinformatician, or computational biologist - depending on experience - primarily to:
- Research and develop a range of future applications for the company, including predictive algorithms combining genetic data with other data sources, custom genetic assay design and development, and polygenic risk scores for new diseases.
- Contribute to research and development of Seonix’s polygenic risk score for glaucoma and associated pipelines/software.
The successful candidate will report to the CEO and will work with Seonix’s Scientific Advisory team, bioinformaticians and software engineers.
The role may be full-time or part-time, depending on the candidate. A minimum commitment of 3 days per week is required. The role will be tailored to the experience of the candidate, and may suit either a senior bioinformatician or, for example, a capable post doc who is early in their career.
The successful candidate must be self-starting and self-driven, strong technically, have good communication and organizational skills, and be able to perform a wide variety of tasks in a start-up environment.
Seonix will offer a competitive package, depending on experience.
This is a rare opportunity for a talented individual to join an exciting company at an early stage and make a real impact.
Job website: http://seonixbio.com/careers
Contact name: Nick Haan
Contact email: careers@seonixbio.com
Bioinformatics Officer @ SA
Position title: Bioinformatics Officer
Employer: South Australian Genomics Centre (SAGC)
Closing date: 31st May 2022
Brief position description: An exciting opportunity now exists for an entry level post-doctoral researcher or experienced MSc-level bioinformatician to join the SAGC bioinformatics team. To flourish in this role, you will need to be able to work across multiple different projects and to possess excellent organisational and time-management skills.
This role is primarily responsible for conducting bioinformatics analyses on a wide variety of client projects with varying levels of complexity. You will have a varied and interesting workload across projects in different biological disciplines.
There are significant opportunities for professional growth and development through exposure to data sets from different genomics technologies. Staff are expected to enable research by leading the development of reproducible, standardised pipelines for genomics data analysis and, where necessary, new methods and pipelines. Your career development will be supported and you will be encouraged to publish your research and to collaborate on major funding applications to NHMRC, ARC or MRFF.
You will also be supported to develop your bioinformatics capabilities; ensuring that the SAGC can remain at the forefront of genomics. It is expected that you will have interest in and develop your capabilities in at least one specialist area of bioinformatics.
Job website: https://sahmri.org.au/careers-and-study/working-at-sahmri/vacancies/bioinformatics-officer
Contact name: Nathan Watson-Haigh
Contact email: nathan.watson-haigh@sahmri.com
Bioinformatician/Computational Biologist @ SA
Position title: Bioinformatician/Computational Biologist
Employer: South Australian Genomics Centre (SAGC)
Closing date: 31st May 2022
Brief position description: An exciting opportunity now exists for an experienced (Level B) post-doctoral bioinformatician/computational biologist to join the SAGC bioinformatics team. To flourish in this role, you will need to be able to thrive in a fast-paced environment, work across multiple different projects and to possess excellent organisational and time-management skills.
As an experienced bioinformatician you will have a deep understanding of at least one area of bioinformatics and have the ability to work independently and support junior members of the team to reach their full potential. You will have a sound understanding of software and workflow development best practices such as source control, test driven programming and continuous integration/deployment. Staff are expected to enable research by leading the development of reproducible, standardised pipelines for genomics data analysis and, where necessary, new methods and pipelines. Your career development will be supported and you will be encouraged to publish your research and to collaborate on major funding applications to NHMRC, ARC or MRFF.
The role requires a significant amount of face-to-face time with clients to scope out projects, communicate findings over the course of a project, and present a final report. In addition, you will lead hands-on training workshops, in your area of expertise, to teach attendees how to extract maximum value from their data.
Job website: https://sahmri.org.au/careers-and-study/working-at-sahmri/vacancies/bioinformatician-computational-biologist
Contact name: Nathan Watson-Haigh
Contact email: nathan.watson-haigh@sahmri.com
Postdoctoral Bioinformatician in Single Cell and Spatial Omics Data Analysis @ SA
Position title: Postdoctoral Bioinformatician in Single Cell and Spatial Omics Data Analysis
Employer: South Australian Genomics Centre (SAGC)
Closing date: 31st May 2022
Brief position description: An exciting opportunity now exists for an experienced (Level B) post-doctoral bioinformatician/computational biologist to join the SAGC bioinformatics platform. To flourish in this role, you will already have a deep understanding of single-cell transcriptomics data analysis and have at least a keen interest, if not existing experience, in the application of spatial transcriptomics and/or other spatial omics approaches to biomedical research questions.
As an experienced bioinformatician you will work with a relatively high degree of independence in the area of single cell and spatial omics data analysis. Single cell and spatial omics technologies available to us include the Chromium X, Visium, STomics, and NanoString technologies and we are actively collaborating with other researchers and facilities who are developing other spatial omics methods (e.g. spatial lipidomics and metabolomics).
You will have a sound understanding of software and workflow development best practices such as source control, test driven programming and continuous integration/deployment. Staff are expected to enable research by leading the development of reproducible, standardised pipelines for single cell and spatial data analysis as well as the development of new methods, pipelines and data visualisation tools. Your career development will be supported and you will be encouraged to publish your research and to collaborate/lead major funding applications to NHMRC, ARC or MRFF.
This role requires the successful candidate to be a team player with excellent communication skills. You will also contribute to the SAGC’s education and outreach activities by leading hands-on training workshops.
Job website: https://sahmri.org.au/careers-and-study/working-at-sahmri/vacancies/postdoctoral-bioinformatician-in-single-cell-and-spatial-omics-data-analysis
Contact name: Nathan Watson-Haigh
Contact email: nathan.watson-haigh@sahmri.com
Research Officer - Computational Drug Discovery Biology @ NSW
Position title: Research Officer - Computational Drug Discovery Biology
Employer: Children's Cancer Institute
Closing date: 22/05/2022
Brief position description: No targeted drug therapies exist for most common paediatric cancers. And the few targeted therapies available have mostly been developed for adult cancers, yet the mechanisms driving paediatric and adult cancers are usually different. Consequently, the only treatment option for many children is chemotherapies, which are harsh, unspecific and more harmful. For this role we are looking for a highly motivated and talented computational biologist to identify new vulnerabilities specific to paediatric oncology and support the discovery of new drugs targeting those vulnerabilities.
The successful candidate will join the THINK (THerapeutic INnovations for Kids) program, the only drug discovery research initiative in Australia focused solely on developing new and more effective treatments for children with cancer. Building on over 10 years of experience in high-throughput drug screening at Children’s Cancer Institute, THINK has established a target-to-clinical trials drug discovery capability focused on discovering new tailored treatments for children and adolescents who have no available targeted therapies to treat their cancer.
We are seeking a Research Officer to join the newly formed computational drug discovery biology group within THINK dedicated to 1) mining the wealth of existing genetic and biological information, including ZERO, to identify new drug discovery targets for THINK, and 2) accelerate the discovery and development of new drugs once targets enter the THINK pipeline.
The Research Officer will be responsible for intersecting internal and external information in order to propose new biological targets for paediatric oncology. The successful candidate will be an independent, highly motivated, and talented researcher, with a passion for conducting high quality research in the area of computational biology applied to therapeutic innovation in paediatric oncology.
Responsibilities will include, but are not limited to:
- Leverage high dimensional data to propose new targets or treatments specific to paediatric oncology
- Develop cutting-edge bioinformatics and AI methods to advance drug discovery. In particular:
* Working closely with the Translational Biology group using Cas13 functional screening to validate and explain novel vulnerabilities
* Working with the Drug Discovery group to interpret and maximize Compound Screening (HTS, HCS, etc…) results
* Proposing novel approaches to leverage existing datasets for the purpose of target identification or compound repurposing
- Discover and validate biomarkers of response to targeted perturbations specific to paediatric indications.
- Staying abreast on advances in genomics and next generation sequencing technology in general, maintaining knowledge about drug discovery and translational biology.
- Develop and apply tools to combine biological data sets with ‘omic and perturbation data sets to better integrate, manipulate, and interpret a child’s multi-‘omics tumour profile and vulnerabilities (genome, transcriptome, biology)
Job website: http://ccia.connxcareers.com/Job/Details/9552968dbb1141df9ad2adf95dd22f4e
Contact name: Antoine de Weck
Contact email: adeweck@ccia.org.au
Clinical Bioinformatician @ VIC
Position title: Clinical Bioinformatician
Employer: Peter MacCallum Cancer Centre
Closing date: 26/04/2022
Brief position description: One full-time & permanent position is available in our Clinical Bioinformatics team to support the cancer genomics service at the Peter MacCallum Cancer Centre!
Must have linux & programming skills. (python preferred)
Cloud computing and/or software development experience would be a strong advantage!
Being agile, keen to learn, solution focused and interested in cancer genomics would also be a plus.
Sounds like you? Apply here: https://www.seek.com.au/job/56545312
Job website: http://www.seek.com.au/job/56545312
Contact name: Roxane Legaie
Contact email: ROXANE.LEGAIE@petermac.org
Research Officer (Bioinformatics, Chemometrics, Biostatistics) @ WA
Position title: Research Officer (Bioinformatics, Chemometrics, Biostatistics)
Employer: Murdoch University - Health Futures Institute
Closing date: 30 April 2022
Brief position description:
• Fixed Term, Full Time
• HEW0708 | Competitive Remuneration Package to be offered to successful candidate
• 10% employer superannuation contributions
• Salary Packaging opportunities
• Ref: 3814A01/127708
An exciting new opportunity has arisen for a Research Officer with experienced in Bioinformatics, Chemometrics or Biostatistics, to join the Centre for Computational & Systems Medicine (CCSM) at Murdoch University. This is part of the WA Premier’s Science Program specifically aims to apply metabolic phenotyping and data analytics with clinical application targeted at disease prevention.
The position will drive research activities that focus on the development and application of high-fidelity computational and statistical modelling pipelines for modelling spectroscopic data generated by instruments such as nuclear magnetic resonance spectroscopy and mass spectrometers. The candidate will develop and apply univariate and multivariate statistical and pattern recognition techniques to interrogate the spectroscopic data. The candidate will also contribute to the rapidly expanding opportunities in precision health.
What you’ll bring to this role (For a full list, please visit the position description (link on Job Website))
• MSc or PhD with experience in Chemometrics, Bioinformatics or related fields, with a strong focus on applied statistics
• Professional experience in data analysis, data modelling, statistical analysis, and results reporting
• Proficiency in programming languages such as R, Python, MATLAB and JavaScript
• A track record of applying mathematical analysis to interrogate spectroscopic day. Relevant techniques include, and not limited to, pattern recognition, multivariate regression, and machine learning
• Practical experience in analysing high dimensional data, especially data derived from MS and NMR spectroscopy, and visualisation of results
Applicants should refer to the Position Description for further detail on the work requirements, duties, skills and experience required for this role. Applicants must have valid work rights.
What you’ll get in return
You will be part of a vibrant and talented team, work in an innovative and lively university community and enjoy the benefits that come with working at Murdoch.
Our people enjoy a lively, natural campus and world-class facilities, as well as a range of benefits including:
• Competitive remuneration
• Paid leave entitlements
• Flexible work arrangements
• Salary packaging options
• Employee Assistance Program
• On Campus Services and Facilities, including a Childcare Centre, Gym, Vet Hospital and Chiropractic Clinic
To Apply
Please apply through the job website, by submitting the documents below:
• A cover letter including a statement addressing the selection criteria (found in the Position Description)
• Your most recent resume (CV)
Murdoch University values diversity, promotes inclusion, and strongly encourages Aboriginal and/or Torres Strait Islander people, women, and people with disability to apply. Applicants who have support or access requirements, are encouraged to advise this at the time of their application, to ensure appropriate assistance is provided throughout the recruitment process.
Closing date: 30 April 2022 (8:59pm AWST)
The University reserves the right to withdraw this advertisement at any time.
Job website: http://www.seek.com.au/job/56477730
Contact name: Ruey Leng Loo
Contact email: rueyleng.loo@murdoch.edu.au
Research Officer (CRC Bioinformatics) @ WA
Position title: Research Officer (CRC Bioinformatics)
Employer: Murdoch University - Australian National Phenome Centre
Closing date: 30 April 2022
Brief position description: Fixed Term, full time (possibility for extension)
HEW0708 | Competitive Remuneration Package to be offered to successful candidate
Salary Packaging opportunities
Ref: 120894/2912A01
The position of CRC Bioinformatics Research Officer will play a key role in collating, managing, and studying metabolic phenotyping data derived in-house using dedicated databases and existing informatics pipelines as well as developing new data analysis strategies. This position provides the successful candidate with the opportunity to work with complex, multi-dimensional data, and contribute to the translation of research into food science practice. The position also requires the Bioinformatics Research Officers to work closely with other scientific researchers and industry partners to ensure the outcomes of the project are delivered on time.
This project will involve a number of partners including the WA Department of Primary Industries and Regional Development (DPIRD), global analytical equipment manufacturer Bruker BioSpin GmbH and key SMEs and industry stakeholders. The CCSM will harnesses the deep metabolic phenotyping capabilities of the Australian National Phenome Centre (ANPC) to generate molecular profiles of food and food products using a range of state-of-the-art spectroscopic techniques (eg. Nuclear magnetic resonance spectroscopy and mass spectrometry) to unravel key attributes like molecular make-up, nutritional functionality as well as authenticity and provenance.
The position will drive new research activities that focuses on generating molecular phenotypes of premium food products unique to Western Australia. The overall aim is to connect nutritional quality and composition with health outcomes.
What you’ll bring to this role (see Position Description for a full list, including desirables)
• A Doctorate (or equivalent experience) in bioinformatics, computer science, computational biology, statistics, chemistry or related field,
• Experience in the development and application of bioinformatics tools and biostatistical methodologies common to the field of metabolomics and metabolic phenotyping,
• Proficiency in programming language such as R, Python, MATLAB, JavaScript,
• Experience in analysis of large data sets
Applicants should refer to the Position Description for further detail on the duties, skills and experience required for this role. Applicants must have valid work rights
What you’ll get in return
You will be part of a vibrant and talented team, work in an innovative and lively university community and enjoy the benefits that come with working at Murdoch.
Our people enjoy a lively, natural campus and world-class facilities, as well as a range of benefits including:
• Competitive remuneration
• Paid leave entitlements
• Flexible work arrangements
• Salary packaging options
• Employee Assistance Program
• On Campus Services and Facilities, including a Childcare Centre, Gym, Vet Hospital and Chiropractic Clinic
To Apply
Please apply through the job website, by submitting the documents below:
• A cover letter including a statement addressing the selection criteria (found in the Position Description)
• Your most recent resume (CV)
Position contact: Dr. Ruey Leng Loo, WA Premier’s Mid-Career Fellow in Molecular Nutrition at rueyleng.loo@murdoch.edu.au
Murdoch University values diversity, promotes inclusion, and strongly encourages Aboriginal and/or Torres Strait Islander people, women, and people with disability to apply. Applicants who have support or access requirements, are encouraged to advise this at the time of their application, to ensure appropriate assistance is provided throughout the recruitment process.
Closing date: 30 April 2022 (8:59pm AWST)
The University reserves the right to withdraw this advertisement at any time.
Job website: https://www.seek.com.au/job/56478330
Contact name: Ruey Leng Loo
Contact email: rueyleng.loo@murdoch.edu.au
Research Officer (Statistical Bioinformatics) @ VIC
Position title: Research Officer (Statistical Bioinformatics)
Employer: Walter and Eliza Hall Institute of Medical Research
Closing date: 18 April 2022
Brief position description: An exciting opportunity exists for a postdoctoral scientist (Research Officer) to join the research laboratory of Doctor Yunshun Chen in the ACRF Cancer Biology and Stem Cells Division (also joint with the Bioinformatics Division) at WEHI.
The laboratory works closely with research collaborators on various cancer diseases, with a particular interest in identification of cancer stem cells and understanding cancer genesis. The laboratory will focus on the application of single-cell and spatial technologies on cancer research and will develop advanced computational and statistical bioinformatics strategies to analyze and interpret genomic data generated by cutting-edge technologies. The successful candidate will be supervised by Dr Yunshun Chen and will work on cancer genomics and statistical bioinformatics methodology development. Specific projects may involve single-cell multi-omics, spatial transcriptomics, RNA-seq, ChIP-seq, ATAC-seq, breast cancer, liver cancer and lung cancer. The successful candidate will be expected to conduct bioinformatics analyses, to develop bioinformatics methodology as appropriate and to work closely with collaborators in a multi-disciplinary team.
Selection Criteria:
Knowledge and Skills:
• A doctoral qualification or equivalent in a relevant discipline such as bioinformatics, statistics, mathematics, computational biology or computer science
• Proficiency in R (prior experience in performing bioinformatics analyses in R would be an advantage as would experience in R package development)
• Experience in performing analyses using various software tools in Unix environment or on high-performance computing platforms
• Ability to apply statistical and computation principles to genomic problems
• Excellent verbal and written communication skills
Personal Qualities:
• Excellent interpersonal and collaborative skills to be able to work constructively within a team environment
• Excellent organization skills, attention to detail, and comprehensive documentation and record-keeping
• Highly motivated with the ability to manage time effectively and be reliable and approachable
Key responsibilities:
• Work under the supervision of the lab head to develop and implement novel methods for analyzing data generated from new technologies
• Work collaboratively with research scientists at the institute, providing bioinformatics supports to analyze and interpret experimental data
• Design statistical strategies to answer specific research questions in collaborative projects
• Produce publishable material of high standard and contribute to writing scientific publications
• Organize and keep a record of project documents, analysis reports, original and processed data
• Present research findings at meetings or conferences
Job website: http://wehi.wd3.myworkdayjobs.com/en-US/WEHI/job/Parkville-Victoria-Australia/Research-Officer--Statistical-Bioinformatics-_JR756-1
Contact name: Yunshun Chen
Contact email: yuchen@wehi.edu.au
Postdoctoral Bioinformatics Researcher @ NSW
Position title: Postdoctoral Bioinformatics Researcher
Employer: The Melanoma Translational Research Group at Melanoma Institute Australia
Closing date: 15/04/2022
Brief position description:
• World's leading melanoma research & treatment centre
• Support provided to develop specialist knowledge
• Located at the University of Sydney, Camperdown
• Full-time position
The Melanoma Translational Research Group at Melanoma Institute Australia (MIA) works alongside our clinical oncology, surgical, pathology and biostatistics teams to investigate the biology of melanoma development, risk stratification and response to systemic therapies. The group is highly successful with major resources in human clinical tissue samples, whole genome sequencing, transcriptome, methylome, multiplex immunohistochemistry (mIHC) and increasing single cell sequencing datasets. The major asset to the group is the expert clinical annotation of the multi-omic data with patient outcomes and response to systemic therapies.
MIA is seeking a postdoctoral bioinformatics researcher that will leverage from the vast resources available for the discovery and validation of diagnostic tools. The role will work alongside computational biologists, pathologists and clinicians to interrogate multi-omics datasets and resources of MIA to improve melanoma diagnosis. The outstanding candidate will make an important contribution towards the accurate diagnosis and treatment of melanoma through impactful translational research.
Responsibilities:
- Identify a research program that can be answered using the resources of the group with a focus on discovery and validation of diagnostic tools.
- Conduct analyses and experimentation to answer scientific hypotheses.
- Publish research in high impact journals and present at international conferences.
- Refine data analysis pipeline for reproducible experimentation for various projects in the laboratory.
- Contribute to the implementation of whole genome, exome, targeted panel and RNA-seq data generation in-house.
- Develop visualization tools for the integration of high dimensional data with clinical phenotypes.
- Mentor and supervise students to develop bioinformatics talent.
- Attend clinical and collaborative research meetings to co-develop clinical questions and the possible implications of research findings.
- Comply with the Institute’s policy for handling information.
Key Selection Criteria
To be successful in this role you will have:
A PhD. in a relevant discipline such as Bioinformatics, Computational Biology or a closely related field.
- Experience processing and analysing multi-omics datasets, particularly whole-genome/whole-exome/targeted-panel DNA sequencing as well as RNA sequencing.
- Demonstrated skills in UNIX/Linux environments.
- Proven ability to execute jobs in high performance computing clusters environments eg via torque/slurm workload manager.
- Proven ability to analyse and visualise data with the R statistical software.
- Experienced in at least one programming language (eg python, perl).
- Proven ability to work across diverse groups of staff within multidisciplinary teams.
Non-essential
- Experience in melanoma research, cancer research and biomarker development.
- Experience with analysis from omics data generated from formalin-fixed paraffin-embedded derived tissue samples.
- Experience with mIHC imaging analysis techniques.
- Experience with machine learning techniques.
Only applicants with full working rights within Australia should apply. Our working week is 38 hours so those on student visas need not apply. Only successful applicants will be contacted. Please no recruitment agencies. Please apply by clicking on the appropriate link on this job board. This is a full-time permanent role. We will consider applicants who apply by 15/04/2022.
Addressing the selection criteria is mandatory and your application will not be considered if not answered.
We pay our respects to the Traditional Custodians of the lands on which Melanoma Institute Australia works, and their Elders both past and present, and acknowledge the deep, continuing connection of Aboriginal and Torres Strait Islander peoples to the land, waters, and sky.
Job website: https://www.seek.com.au/job/56312628
Contact name: Kylie Scott
Contact email: careers@melanoma.org.au