Position title: Computational Biology Lead
Employer: Garvan Institute of Medical Research
Closing date: 30/4/2021
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, three major Centres: The Kinghorn Centre for Clinical Genomics, the Garvan-Weizmann Centre for Cellular Genomics, and the Centre for Population Genomics.
The Opportunity
Through the generous and long-term support of Snow Medical, the Genomic Medicine Lab is launching an ambitious program to understand the clinical impact of both inherited and acquired genetic variation. Drawing upon three core strengths of the Garvan Institute, our focus is to use large-scale population, clinical, and cellular genomics to understand, predict, treat, and prevent disease. A key interest is understanding the impact of clonal haematopoiesis and somatic mutation in diseases of inflammation, ageing, and blindness.
An integral part of our program will be the manipulation of large-scale genomic and clinical datasets, and the application of statistical models to understand the impact of inherited and acquired genetic variation in disease risk.
The Computational Biology Lead will be responsible for developing an analysis strategy for germline and somatic variation calling across very large and diverse genomic datasets, for developing pipelines for clinical association analyses, and for working closely with colleagues in the Centre for Population Genomics (led by Dr Daniel MacArthur) to implement these at scale.
This will be a leadership role, with the opportunity to supervise a team and lead the production of high-impact publications. We are interested in recruiting a talented early career researcher with a commitment to research in the field, with a view to supporting their development as a successful independent researcher.
This will initially be a two year full-time role with a high possibility to extend and is a unique opportunity to develop leadership skills in a new and well-supported environment, performing research with a high potential for clinical impact.
Salary will be commensurate with relevant experience, starting at $96,324 AUD plus 14% superannuation and salary packaging benefits. We are open to sponsoring exceptional international applicants.
Key Responsibilities
Working closely with team members and colleagues in the Centre for Population Genomics and Kinghorn Centre for Clinical Genomics to develop and implement plans for the processing and analysis of germline and somatic variants in large-scale genomic and clinical datasets, and to develop a broader scientific strategy for the team as a whole.
Developing and maintaining computational pipelines, infrastructure, and resources across cloud-based platforms and/or on-premises hardware.
Producing rigorous empirical results, generating publication-quality images and text, and leading the production of peer-reviewed publications.
Building and co-supervising a team of students and junior staff with diverse skills across computational biology.
Presenting research methods and results at national and international conferences.
Producing and submitting fellowship and other funding applications.
About You
In order to be successful in this position, you will demonstrate the following key skills and attributes:
A PhD in computational biology, statistical genetics, cancer genomics, computer science, or a related field with at least 2 to 3 years of relevant postdoctoral research experience
Strong computational and statistical skills, including comfort with complex scientific programming, ideally in R and Python. Direct experience with cloud computing platforms (e.g. GCP, AWS) and large genomic datasets (e.g. UK Biobank, FinnGen) is a plus.
Highly autonomous and self-motivated: able to define and manage the execution of strategies for analysis across a wide range of technical areas, from basic sequence quality control through to analysis of large genomic and clinical datasets.
Excellent written communication skills: demonstrated ability to lead the production of manuscripts, grant and ethics applications, and technical reports.
Excellent verbal communication skills, with an ability to effectively represent the research team internally and externally, including the presentation of research outcomes at national and international conferences.
Highly collaborative: able to build and maintain relationships within and between teams, and comfortable engaging in complex discussions remotely through the use of collaborative tools (e.g. Google Docs/Sheets/Slides, Zoom, Slack). Demonstrated supervisory experience in a research environment a plus.
A problem-solving mentality: able to navigate complex technical obstacles, and work effectively with other team members and colleagues to solve them when needed.
How to Apply
To apply for this position, please submit your application with a CV and cover letter stating why you are interested in this role, along with copies of relevant qualifications/academic transcripts and details of at least two referees. We are reviewing applications as they are received.
Visa sponsorships can be considered for exceptional international applicants. 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. For any further questions about this role please reach out to talent@garvan.org.au
Job website: http://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Computational-Biology-Lead_PRF5853-1
Contact name: Michelle Earle
Contact email: talent@garvan.org.au
Bioinformatician post-doc @ University of Minnesota
Position title: Bioinformatician post-doc
Employer: University of Minnesota
Closing date: Soon after selecting good candidate
Brief position description: Bioinformatics:
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https://hr.myu.umn.edu/jobs/ext/339331
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Job website: http://hr.myu.umn.edu/jobs/ext/339331
Contact name: SUNIL MOR
Contact email: kumars@umn.edu
Post-Doctoral Research Fellow in Bioinformatics - Microbiome Research Centre @ NSW
Position title: Post-Doctoral Research Fellow in Bioinformatics - Microbiome Research Centre
Employer: UNSW
Closing date: 11pm, 25th March 2021
Brief position description: Opportunity for an early career researcher to undertake bioinformatic analysis and interpretation of data across a large number of research projects at the Microbiome Research Centre (MRC).
1-year Fixed-term, Full-time (35 hr/week) opportunity based at St George Hospital in Sydney.
Job website: https://external-careers.jobs.unsw.edu.au/cw/en/job/501320/postdoctoral-research-fellow-in-bioinformatics-microbiome-research-centre
Contact name: Merita O'Connell
Bioinformatics Research Officer @ NSW
Position title: Bioinformatics Research Officer
Employer: University of Sydney
Closing date: 31 March 2021
Brief position description: The Bioinformatics Research Officer will join the newly established Ancestry & Health Genomics Laboratory at the Charles Perkins Centre, as an active research member of the University of Sydney’s School of Medical Sciences (SoMS), while working closely with his/her lab affiliates at the Laboratory for Human Comparative and Prostate Cancer Genomics located at The Kinghorn Cancer Centre, as part of the Garvan Institute of Medical Research.
This newly funded project is aimed at identifying mutational signatures of persistent endocrine disrupting pollutants driving aggressive prostate cancer. The project is prefaced on the hypothesis that environmental carcinogens have left an ‘exposure record’ identifiable as mutational signatures (patterns of genomic variation) in the genomes of exposed tumours. The aim, to use genome profiling and multi-omic synergistic interrogation, to identify a carcinogenic agent driving global disparities in aggressive prostate cancer.
The Bioinformatics Research Officer will focus on the implementation and development of statistical/computational tools to analyse next-generation sequencing (NGS) data to identify somatic variations associated with prostate cancer outcomes, global health disparity and carcinogenic drivers. You will be responsible for the analyses of cancer genome samples sequenced for the purposes of this project. This includes the maintenance, benchmarking, and continuous improvement of our analysis pipelines, as well as participation in the downstream analyses and interpretation, presentation and publications. The successful candidate will apply and implement various tools and algorithms to analyse cancer sequencing data, collaborate with Laboratory Team members to develop new tools and analytics, while taking a lead on moving new projects forward with regards to the integration of multi-omic datasets that will resonate from this project. The successful candidate will report directly to the Laboratory Head.
Job website: http://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE
Contact name: Vanessa Hayes
Contact email: v.hayes@garvan.org.au
Research Officer @ NSW
Position title: Research Officer
Employer: Garvan Institute of Medical Research
Closing date: 2/04/2021
Brief position description: The Opportunity
We are seeking a fresh PhD graduate to join our recently established Gut omics group at the Garvan Institute of Medical Research. In this role, you will integrate single-cell transcriptomics and computational analysis technologies to investigate the cellular environments underpinning inflammatory bowel disease (IBD) and intestinal cancer. We recently uncovered complex spatial zonation of immune cells and microbiota in the healthy human colon (James et al, Nat. Immunol, 2020) and described the cellular networks underpinning recruitment and organisation of immune cells into the gut in paediatric Crohn’s disease.
We aim to build on these findings in IBD, but we also welcome your creative input and will encourage you to apply for independent research fellowships to support your career progression. You will have research independence and benefit from support and mentorship from a world-class research and technical team in single cell genomics offered by the Garvan-Weizmann Centre for Cellular Genomics.
This is a two year full-time, fixed term position with the possibility to extend. This role reports to Dr. Kylie James, Group Leader, Immunogenomics of Inflammatory Bowel Disease at Garvan.
Key Responsibilities
Conceiving, designing and carrying out single-cell experiments in line with the research theme.
Computational analysis of single cell datasets.
Collaborating closely with clinicians and members of the Garvan-Weizmann Centre for Cellular Genomics.
Collecting and processing patients’ samples in a reasonable timeframe.
Producing results, generating publication-quality images and text, and leading the development of peer-reviewed publications.
Presenting research methods and results at national and international conferences.
Producing and submitting fellowship and other funding applications.
Engaging within the team and with supervisors at weekly meetings.
Keeping up-to-date with safety training.
About You
In order to be successful in this position, you will demonstrate the following key skills and attributes:
A PhD in Cellular Biology, Computational Biology or a related field.
Experience with cellular analysis techniques including flow cytometry, cell sorting using FACS and MACS, gene and protein expression analysis, microscopic imaging, histology, pathology, gene profiling.
Experience with one or more programming languages (R/Python) is required.
Highly collaborative, being able to build and maintain scientific relationships within the team; comfortable engaging with complex discussions through remote means.
Outstanding communication skills, including both oral and written presentation for a variety of audiences, being able to present research data at national/ international scientific conferences and to contribute to and lead papers, grants, and technical reports.
Highly organised with the ability to work effectively within a team and independently.
Willingness to learn new wet-lab and computational analysis skills.
Ability to work in a highly interdisciplinary environment and drive scientific and technical innovation with other members of the group, the research community and public.
Previous experience with scientific and medical writing and publications in peer-reviewed journals.
How to Apply
We are open for AU/NZ or overseas talent. We are actively looking to hire for this role and will be reviewing applications as received. Candidates are encouraged to submit their application along with a cover letter attached with the CV as one document, as soon as possible. If you think you’re the right person for this role, don’t delay. We’d love to hear how your capabilities, achievements and experience set you apart.
Job website: https://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Research-Officer--RO-_PRF5835-1
Contact name: Michelle Earle
Contact email: talent@garvan.org.au
Bioinformatics research assistant @ VIC
Position title: Bioinformatics research assistant
Employer: Hogan Laboratory, Peter MacCallum Cancer Centre
Closing date: 25/03/2021
Brief position description: An opportunity exists for a talented and motivated Research Assistant to work with Professor Ben Hogan and Dr Lizzie Mason in the Program for Organogenesis and Cancer, at the Peter MacCallum Cancer Centre.
The Hogan Laboratory is a cross-disciplinary team that aims to understand the development of lymphatic vasculature (lymphangiogenesis), which plays an important role in the metastatic spread of cancer. The computational team applies bioinformatic and statistical methodologies to provide new insights into the molecular mechanisms that underpin developmental and pathological lymphangiogenesis. They are developing a comprehensive, single cell transcriptomic atlas of lymphangiogenesis, and using systems biology to derive the regulatory networks governing cell fate transitions in developmental, and pathological settings. The computational team have collaborative relationships with statistical and bioinformatic research groups throughout the Parkville precinct.
The successful candidate will have an Honour’s or Master’s degree in Bioinformatics, Computational Biology, Systems Biology or Computer Science. The candidate will have strong computational skills and experience applying them in the analysis of bulk and or single cell transcriptomic data.
Job website: http://petermac.mercury.com.au/ViewPosition.aspx?id=UnxDgndmz9w=&jbc=ere
Contact name: Elizabeth Mason
Contact email: Elizabeth.Mason@petermac.org
Genome Informatician @ SA
Position title: Genome Informatician
Employer: SA Pathology - Statewide Clinical Support Services
Closing date: 9th March 2021
Brief position description: - Contributes to the development of analysis pipelines for application to infectious diseases
- Contributes to the delivery of high-throughput microbial genomic testing technologies as part of the public health response to outbreaks and surveillance due to infectious diseases.
- Maintaining microbial genomic analysis pipelines for diagnostic and public health applications.
- Understanding and experience in phylogenomic analysis
Contributes to the delivery of NGS testing by:
- Identifying, evaluating and implementing software solutions for data analysis
- Automating NGS data analysis pipelines
- Maintaining currency of annotation resources
- Maintaining database of sequence variants
- Applying specialist knowledge of genome analysis to perform analysis of next-generation sequencing data
- Education and training of other staff within the MID directorate in the use of software tools and data analysis pipelines
Job website: http://careers.pageuppeople.com/532/caw/en/job/748898/genome-informatician
Contact name: Lex Leong
Contact email: lex.leong@sa.gov.au
Production Bioinformatician @ NSW
Position title: Production Bioinformatician
Employer: Garvan Institute of Medical Research
Closing date: 15/3/2021
Brief position description: The Garvan Institute of Medical Research brings together world-leading basic and translational researchers with expert clinicians 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. And three major Centres: the Kinghorn Centre for Clinical Genomics, the Garvan-Weizmann Centre for Cellular Genomics, and the Centre for Population Genomics.
This position will be collaborating with both the Kinghorn Centre for Clinical Genomics (KCCG) and the Garvan-Weizmann Centre for Cellular Genomics (GWCCG)
The Opportunity
The Production Bioinformatician will oversee the development, implementation and support of software and computational pipelines to translate raw single cell sequence data through to researchers. In addition, the production bioinformatician will deploy and support tools to assist researchers and clinicians with their genomic research.
The role will focus on supporting robust and production scale pipelines that run on either local or national HPC systems, as well as cloud services.
This is a unique opportunity for a bioinformatician to get exposure to research in single cell transcriptomics, genomics and epigenetics. This is a one-year full-time, fixed term role with a high possibility to extend, reporting to Joseph Copty - Bioinformatics Lead (KCCG Sequencing lab) and working closely with the GWCCG team. There is remote working flexibility with an option to choose your own days of work on site.
Key Responsibilities
Develop, implement and maintain the computational infrastructures required to support the analysis of high-throughput genome and single cell sequencing data.
Support the translation of new computational techniques from a research setting to production scale tools.
Design and implement pipelines to run on the internal and external high performance compute infrastructure and commercial clouds (AWS, GCP, Azure).
Deploy and support research tools for genomic variant filtration and interpretation.
Contribute code and features to open source bioinformatics tools.
Assist collaborators in data analysis and to check the validity of experimental results.
Create computational solutions to generate automated reports from raw high-throughput sequence data
Establish and maintain excellent records of the computational analysis and techniques for all projects in KCCG and GWCCG
About You
In order to be successful in this position, you will demonstrate the following key skills and attributes:
Bachelor degree (or higher) in Bioinformatics, Computer Science or related fields
Expertise in computational bioinformatics techniques, with a special focus on single cell transcriptomics, genomics and epigenetics
Demonstrated experience in the development and implementation of new and cutting-edge bioinformatics tools and pipelines using workflow languages
Strong skills in Linux command line and scripting languages (Python, Bash, R or other)
Experience with source code management tools (git preferred)
Experience in cloud infrastructure
Experience in using high performance computers (HPC) and job schedulers (e.g. PBS pro, SGE).
Demonstrated experience in containerisation using Docker and/or Singularity
Demonstrated experience in the development and implementation of new and cutting-edge bioinformatics tools and pipelines using workflow languages
Demonstrate experience in SQL and NoSQL based Databases
Desirable
Demonstrated experience in containerisation using Docker and/or Singularity
Knowledge of web frameworks: Django, Flask etc. is a plus
Experience with laboratory information management systems (LIMS)
Excellent written and oral communication, representation and interpersonal skills essential for interaction with internal and external stakeholders, including KCCG and GWCCG leaders
Excellent problem solving abilities and strong attention to detail
Ability to work independently
How to Apply
Only applicants with full work rights can apply. We are actively looking to hire for this role preferably by this month, so candidates are encouraged to submit their application along with a cover letter attached with the CV as one document, as soon as possible. If you think you’re the right person for this role, don’t delay as we’re assessing applications as they are received. We’d love to hear how your capabilities, achievements and experience set you apart.
Job website: https://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Production-Bioinformaticiann_PRF5816
Contact name: Michelle Earle
Contact email: m.earle@garvan.org.au
Computational Biologist/Bioinformatician @ South Australia
Position title: Computational Biologist/Bioinformatician
Employer: South Australian Genomics Centre (SAGC)
Closing date: 5th March, 2021
Brief position description: Key responsibilities include:
- Provide collaborative analysis support to SAGC clients with bioinformatics components of their projects.
- Develop efficient analysis and data integration strategies for projects involving multiple omics approaches and techniques, including genomics, transcriptomics, epigenomics, metagenomics, metabolomics and proteomics.
- Lead or assist with drafting publications and scientific reports relating to the projects across academic, industry and government areas.
- Contribute to development of competitive funding applications.
Job website: http://www.seek.com.au/job/51434189
Contact name: Jimmy Breen
Contact email: jimmy.breen@sahmri.com
Bioinformatician (Proteomics) in Computational Functional Genomics @ NSW
Position title: Bioinformatician (Proteomics) in Computational Functional Genomics
Employer: Children's Medical Research Institute
Closing date: 1st March 2021
Brief position description: We are seeking a qualified Bioinformatician / Data Scientist to join the Functional Genomics program with a focus on proteomics. This role will involve supporting researchers from the CMRI and collaborating institutions in the analysis of proteomics data of rare genetic diseases, cancers and disease modelling. The successful applicant will have opportunities to explore and interrogate a diverse range of data, including transcriptomics and proteomics data. Additionally, the successful applicant will work alongside highly experienced research data scientists/bioinformaticians.
Job website: https://www.cmrijeansforgenes.org.au/about/careers
Contact name: Patrick Tam
Contact email: ptam@cmri.org.au