Position title: Computational Biologist: Cancer Genomics–The Kinghorn Centre for Clinical Genomics
Employer: Garvan Institute of Medical Research
Closing date: 31/08/2020
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. And three major Centres: the Kinghorn Centre for Clinical Genomics, the Garvan-Weizmann Centre for Cellular Genomics, and the Centre for Population Genomics.
The Kinghorn Centre for Clinical Genomics (KCCG's) Translational Genome Informatics Group (TIG) is a multidisciplinary team of bioinformaticians, statisticians, software engineers and clinical researchers. The team develops and applies computational methods to better understand human disease. We take a collaborative approach, working closely with experimental researchers across Garvan to tackle biological problems that address critical unmet medical needs.
The Opportunity
This position will drive somatic analysis capabilities within KCCG. The role includes both an engineering component and computational analysis. The researcher will work with existing in-house pipelines to streamline workflows for analysis of patient cohorts and allow consolidation with large public datasets. On the analysis side, the initial focus is on structural variation in childhood cancer using long-read sequence data.
This is a one-year full-time role. We are happy to provide remote on-boarding (for intra/ interstate) employees keeping the current pandemic in mind and considering health and safety of our employees as our top priority.
Key Responsibilities
This position will be responsible for helping to provide direction and support in clinical genomics, genome informatics and translational research. This will include:
Consolidating in-house somatic analysis pipelines
Bringing in-house high value oncology related datasets and integrating with internal cohorts
Analysing structural variation in childhood cancer using long-read sequence data
Constantly collaborating with cancer researchers
Undertaking and directing translational research with an emphasis on developing biological insights that are relevant to patient outcomes
Staying abreast on advances in genomics and next generation sequencing technology in general as well as maintaining knowledge about clinical genomic testing and personalised medicine.
Occasionally represent KCCG at events, or talks with external stakeholders
About You
In order to be successful in this position, you will demonstrate the following key skills and attributes:
PhD in a related area of science or equivalent and at least 3 years of experience
Highly developed skills in bioinformatics and genomics
Demonstrated a keen interest in Biology and/or Clinical Genomes
Expertise in working with next-generation sequencing data
Project management skills with the ability to work independently and yet amicably in a team environment to meet deadlines
Good communication skills both verbal and written
Desirable
Expertise in working with somatic data
Strong track record of peer review publication
How to Apply
Australian/NZ citizen, permanent resident or other applicants with full working rights can only apply. All applications must include a cover letter along with your resume with at least two referees. We are reviewing applications as they are received. This position will remain open until end of August 2020. You can visit external career page on Garvan website to refer to other similar roles.
Job website: http://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Computational-Biologist--Cancer-Genomics-The-Kinghorn-Centre-for-Clinical-Genomics_PRF5629-1
Contact name: Michelle Earle
Contact email: m.earle@garvan.org.au
Bioinformatician – The Kinghorn Centre for Clinical Genomics @ Sydney
Position title: Bioinformatician – The Kinghorn Centre for Clinical Genomics
Employer: Garvan Institute of Medical Research
Closing date: 31/08/2020
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. And three major Centres: the Kinghorn Centre for Clinical Genomics, the Garvan-Weizmann Centre for Cellular Genomics, and the Centre for Population Genomics.
The Kinghorn Centre for Clinical Genomics (KCCG), established by the Garvan Institute is an Australian research and sequencing centre delivering genomic information for clinical use. Our vision is to translate medical research into clinical care in Australia and beyond by integrating sequencing, bioinformatics and data management in a cutting-edge Genomics research environment.
The Opportunity
The role will be responsible for consolidating data from across cohorts and incorporate these into the databases/repositories that are accessible to researchers. There is scope within this position to perform genomics and bioinformatics research, publish scientific papers, and to pursue independent funding.
This is a one-year full-time role. We are happy to provide remote on-boarding (inter or intra state) keeping the current pandemic in mind and considering health and safety of our employees as our top priority.
Key Responsibilities
This position will be responsible for helping to provide direction and support in clinical genomics, genome informatics and translational research. This will include:
Seek out genomics datasets from across Garvan and establish a catalogue with clinical information as well as links to genomic data
Develop databases for storage of cohort metadata and interfaces to provide access to researchers
Undertaking and directing translational research with an emphasis on developing biological insights that are relevant to patient outcomes
Occasionally represent KCCG at events, or talks with external stakeholders
And, staying abreast on advances in genomics and next generation sequencing technology in general as well as maintaining knowledge about clinical genomic testing and personalised medicine
About You
In order to be successful in this position, you will demonstrate the following key skills and attributes:
A Bachelor degree in a related area of science or engineering preferably with a couple of years of experience
Demonstrated interest in Biology and/or Clinical Genomes
Excellent problem-solving ability with good communication skills both verbal and written
Project management skills with the ability to work independently and yet amicably in a team environment to meet deadlines
Desirable
A PhD in Bioinformatics/Computational Biology or a related field
Skills in bioinformatics and/or genomics
Experience working with next-generation sequencing data
Software engineering skills: source control management, unit and regression testing, continuous integration
Experience in developing diagnostic assays, and assessing their analytical performance
How to Apply
Australian/NZ citizen, permanent resident or other applicants with full working rights can only apply. All applications must include a cover letter along with your resume with at least two referees. We are reviewing applications as they are received. This position will remain open until end of August 2020. You can visit external career page on Garvan website to refer to other similar roles.
Job website: http://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Bioinformatician---The-Kinghorn-Centre-for-Clinical-Genomics_PRF5630-1
Contact name: Michelle Earle
Contact email: m.earle@garvan.org.au
Computational Biologist – The Kinghorn Centre for Clinical Genomics @ Sydney
Position title: Computational Biologist – The Kinghorn Centre for Clinical Genomics
Employer: Garvan Institute of Medical Research
Closing date: 31/08/2020
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. And three major Centres: the Kinghorn Centre for Clinical Genomics, the Garvan-Weizmann Centre for Cellular Genomics, and the Centre for Population Genomics.
The Kinghorn Centre for Clinical Genomics (KCCG's) Translational Genome Informatics Group (TIG) is a multidisciplinary team of bioinformaticians, statisticians, software engineers and clinical researchers. The team develops and applies computational methods to better understand human disease. We take a collaborative approach, working closely with experimental researchers across Garvan to tackle biological problems that address critical unmet medical needs.
The Opportunity
This position will drive the development and validation of approaches for interpreting multi-omic data with a focus on translation. Examples of the projects ongoing include: developing prognostic and predictive biomarkers for Parkinson's Disease, studying the genetics of sleep in individuals with Autism, using liquid biopsy to monitor cancer patients following surgery and identifying molecular mechanisms of tumour metastisis using single cell expression data.
This is a one-year full-time role. We are happy to provide remote on-boarding (for intra/ interstate) employees keeping the current pandemic in mind and considering health and safety of our employees as our top priority.
Key Responsibilities
This position will be responsible for helping to provide direction and support in clinical genomics, genome informatics and translational research. This will include:
Analysing multi-omic data for disease cohorts to understand disease heterogeneity and developing prognostic and predictive biomarkers
Integrating genomic, transcriptomic and single-cell in-house and external datasets to understand disease molecular mechanisms
Undertaking and directing translational research with an emphasis on developing biological insights that are relevant to patient outcomes.
Occasionally represent KCCG at events, or talks with external stakeholders.
Staying abreast on advances in genomics and next generation sequencing technology in general as well as maintaining knowledge about clinical genomic testing and personalised medicine
About You
In order to be successful in this position, you will demonstrate the following key skills and attributes:
PhD in a related area of science or equivalent and at least 3 years of experience
Highly developed skills in bioinformatics and genomics
Expertise in working with next-generation sequencing data
Excellent problem-solving ability with good communication skills both verbal and written
Project management skills with the ability to work independently and yet amicably in a team environment to meet deadlines
Ability to develop, manage and maintain internal and external relationships
Strong track record of peer review publication
Desirable
Software engineering skills: source control management, unit and regression testing, continuous integration
Experience in developing diagnostic assays, and assessing their analytical performance
Experience supervising students and/or junior staff
How to Apply
Australian/NZ citizen, permanent resident or other applicants with full working rights can only apply. All applications must include a cover letter along with your resume with at least two referees. We are reviewing applications as they are received. This position will remain open until end of August 2020. You can visit external career page on Garvan website to refer to other similar roles.
Job website: http://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Computational-Biologist---The-Kinghorn-Centre-for-Clinical-Genomics_PRF5627-1
Contact name: Michelle Earle
Contact email: m.earle@garvan.org.au
Computational Biologist/Bioinformatician - Exceptional Responders Study @ Sydney
Position title: Computational Biologist/Bioinformatician - Exceptional Responders Study
Employer: Garvan Institute of Medical Research
Closing date: 31/08/2020
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. And three major Centres: the Kinghorn Centre for Clinical Genomics, the Garvan-Weizmann Centre for Cellular Genomics, and the Centre for Population Genomics.
The Kinghorn Centre for Clinical Genomics (KCCG's) Translational Genome Informatics Group (TIG) is a multidisciplinary team of bioinformaticians, statisticians, software engineers and clinical researchers. The team develops and applies computational methods to better understand human disease. We take a collaborative approach, working closely with experimental researchers across Garvan to tackle biological problems that address critical unmet medical needs.
The Opportunity
The Exceptional Responders Program (ExcRes) is a Nationally-recruiting initiative to progress precision cancer medicine through genomic analysis of treatment-outliers. ExcRes collaborates with cancer clinicians nationally to recruit patients who have had an unusual or unexpected response to anti-cancer treatment. This position will analyse multi-omic data from exceptional responders to tease out the molecular mechanisms driving their unusual response to therapy.
This is a one-year full-time role. We are happy to provide remote on-boarding (for intra/ interstate) employees keeping the current pandemic in mind and considering health and safety of our employees as our top priority.
Key Responsibilities
This position will be responsible for helping to provide direction and support in clinical genomics, genome informatics and translational research. This will include:
Analysing multi-omic data collected from exceptional responders
Identifying appropriate matched controls from in-house and public datasets
Working closely with the ExcRes team to interpret sequence data and design follow on studies
Developing databases for storage of cohort metadata and interfaces to provide access to researchers.
Staying abreast on advances in genomics and next generation sequencing technology in general as well as maintaining knowledge about clinical genomic testing and personalised medicine
Occasionally represent KCCG at events, or talks with external stakeholders
About You
In order to be successful in this position, you will demonstrate the following key skills and attributes:
PhD in a related area of science or equivalent or Bachelor's degree and at least 3 years of experience
Highly developed skills in bioinformatics and genomics
Ability to develop, manage and maintain internal and external relationships
Excellent problem-solving ability with good communication skills both verbal and written
Project management skills with the ability to work independently and yet amicably in a team environment to meet deadlines
Desirable
Experience working with next-generation sequencing data
Experience analysing cancer genomic data
Strong track record of peer review publication
How to Apply
Australian/NZ citizen, permanent resident or other applicants with full working rights can only apply. All applications must include a cover letter along with your resume with at least two referees. We are reviewing applications as they are received. This position will remain open until end of August 2020. You can visit external career page on Garvan website to refer to other similar roles.
Job website: http://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Computational-Biologist-Bioinformatician---Exceptional-Responders-Study_PRF5628-1
Contact name: Michelle Earle
Contact email: m.earle@garvan.org.au
Postdoctoral Research Officer - Bioinformatics & Cellular Genomics @ Melbourne
Position title: Postdoctoral Research Officer - Bioinformatics & Cellular Genomics
Employer: St Vincent's Institute of Medical Research
Closing date: 2020-08-31
Brief position description: We are seeking a motivated and successful postdoctoral Researcher to work on an independent project in machine learning for clinical image data. This role will help develop new deep learning methods and software to transform population screening for breast cancer. You will implement, train, test and deploy machine learning models to detect breast cancer from mammogram images and develop model interpretation strategies that describe why a prediction was made. Working in close collaboration with colleagues at St Vincent’s Hospital Melbourne, the University of Melbourne and the University of Adelaide, you will have the opportunity to provide computational expertise on experimental design and data analysis, and will have project-wide responsibility across the breast cancer screening project. You will have access to a proprietary database of over 200,000 high-quality, annotated clinical images from BreastScreen Victoria that have never before been used to train machine learning models. You will identify opportunities to customise more efficient workflows and methods where warranted and lead prospective studies to test, in a clinical setting, the real-world performance of the models you develop.
Job website: http://www.seek.com.au/job/50287843?
Contact name: Davis McCarthy
Contact email: hr331@svi.edu.au
Bioinformatics Research Officer – Cancer @ Sydney
Position title: Bioinformatics Research Officer – Cancer
Employer: Garvan Institute of Medical Research
Closing date: 30/08/2020
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. And three major Centres: The Kinghorn Centre for Clinical Genomics, the Garvan-Weizmann Centre for Cellular Genomics, and the Centre for Population Genomics.
The Australian Genomic Cancer Medicine Centre (AGCMC) is a not-for-profit, nationwide network of centres and medical research institutes that delivers precision medicine clinical trials and studies for the screening, prevention and treatment of cancers. It has a focus on patients with rare, less common and early onset cancers, and cancers with poor outcomes. The Molecular Screening and Therapeutics (MoST) program is a key component of the AGCMC, running nationally and co-ordinated at the Garvan Institute, and requires a bioinformatics research officer for operations and development.
The Opportunity
The position will work with the Chief of Informatics of the AGCMC to perform research into translational cancer genomics, including developing, streamlining, and validating approaches for analysing and interpreting cancer genomes for clinical research use.
This position will be embedded within the Australian Genomic Cancer Medicine Program at the Garvan Institute, and play a pivotal role in the success of the MoST program. The MoST program is an innovative adaptive signal-seeking framework trial design, aiming to generate evidence to support novel hypotheses behind genotype-guided therapeutic interventions. MoST use fast turn-around, targeted sequencing panels to study patients with rare, and advanced cancers, then use this information to recommend targeted therapies, either within the MoST program, or triaging onto available trials. The MoST program has been running in New South Wales since 2016 but has recently been expanded into a national program, co-ordinated at the Garvan Institute. This role will be jointly responsible for optimising the genomic analysis, and interpretation components of the MoST program, participating in Molecular Tumour Board (MTB) meetings, and have responsibility for preparing Molecular Tumour Board reports for each patient. This exciting opportunity will leverage the outcomes from research projects to change the way cancer patients in Australia and ultimately beyond will be treated in the clinical environment.
The project is also generating substantial cohort data and bioinformatics skills are required in various projects to analyse these data. This is a two year full-time position.
Key Responsibilities
This position will be responsible for helping to provide support in clinical research genomics, genome informatics and translational research in cancer genomics. This will include:
• Undertaking translational research with an emphasis on developing biological insights that are relevant to patient outcomes.
• Improving the breadth, quality and efficiency of existing genomic analysis pipelines, through development of improved bioinformatics approaches.
• Develop approaches to optimise and streamline interpretation of genomic data.
• Staying abreast on advances in genomics and next generation sequencing technology in general as well as maintaining knowledge about genomic testing and personalised medicine.
• Working independently, but importantly being able to work as part of a dynamic team
About You
In order to be successful in this position, you will demonstrate the following key skills and attributes:
• Postgraduate or industry experience (>3 years) in related disciplines
• Highly developed skills in bioinformatics and genomics
• Highly developed Python programming skills
• Project management skills
Desirable
• Knowledge of clinical interpretation of genomic data
• Source control management, unit and regression testing, continuous integration
• Other software engineering skills, e.g. web development
• Database management and SQL skills
• Knowledge developing diagnostic assays, and assessing their analytical performance
How to Apply
Australian/NZ citizen, permanent resident of other applicants with full working rights can only apply. All applications must include a cover letter along with your resume with at least 2 referees. We are reviewing applications as they are received.
Job website: http://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Bioinformatics-Research-Officer_PRF5622-1
Contact name: Michelle Earle
Contact email: m.earle@garvan.org.au
Bioinformatician - The Garvan Weizmann Centre for Cellular Genomics @ Sydney
Position title: Bioinformatician - The Garvan Weizmann Centre for Cellular Genomics
Employer: Garvan Institute of Medical Research
Closing date: 16/08/2020
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. And three major Centres: the Kinghorn Centre for Clinical Genomics, the Garvan-Weizmann Centre for Cellular Genomics, and the Centre for Population Genomics. The Garvan Research Foundation (GRF) is the marketing and fundraising arm of the Institute raising critical philanthropic investment, and awareness, for Garvan’s medical research.
In 2017, The Garvan Weizmann Centre for Cellular Genomics (GWCCG) was formed, bringing together the Garvan Institute of Medical Research and The Weizmann Institute of Science to build Australia’s first Centre for Cellular Genomics. The Garvan and the Weizmann Institutes have harnessed their synergistic strengths (in Cytometry, Genomics, Informatics, and Data Visualisation) to allow cellular and single cell genomics to become routine tools for clinical and scientific analysis of many disease states. The focus of the GWCCG is both to support and conduct medical research using cellular genomics techniques across four research areas: Stem cells, statistical genetics, cancer and new diagnostics methodology
The Opportunity
The incumbent Bioinformatician will work with members of the GWCCG Research team to support computational research activities across the following areas:
• Population genetics meets single cell sequencing
• Resolving the genetic mechanisms of complex human disease using stem cells
• Clinical translation of single cell sequencing for diagnosis and precision medicine
The role will involve curation, management, and analysis of high-throughput genomic data and patient medical records. In addition to supporting the research activities of other group members, opportunities will be made available to pursue and publish leading research.
A strong background in computational genomics, biology or bioinformatics preferred. Highly motivated individuals with a strong attention to detail, multi-tasking; and a willingness to learn new technologies are encouraged to apply. This is a two-year full-time position.
Key Responsibilities
• Analysis of data generated for research within the GWCCG labs, by collaborators or in the public domain, method development and testing and writing computer code data analysis
• Supporting role in manuscript preparation and presentation of results in lab meetings and conferences
• Record-keeping and administrative aspects that underlie scientific research in discussion with lab heads, development of timelines
• Collaboration with other group members, and as part of national and international consortia
• Meeting with Associate Professor Joseph Powell and members of the laboratory
• Attending, discussing and reviewing current and future techniques within Garvan’s Bioinformatics (BUG) meetings
About You
In order to be successful in this position, you will demonstrate the following key skills and attributes:
• A degree in a relevant field e.g. computer science, genetics, physics, statistics, epidemiology, bioinformatics or other relevant areas, or an equivalent combination of relevant experience and/or education/training
• Excellent computational background, especially in the management of large data sets in HPC environment and analysis and interpretation of large genomic data sets (WGS, RNA-Seq, scRNA-Seq)
• High proficiency in programming and scripting languages (e.g. C/C++, Java, Perl, Python); Advanced user of the R programming language and R-based statistical packages and tools, such as those available from the Bioconductor project for high throughput genomic data analysis
• Good knowledge of statistics and presentation of molecular/clinical data.
• Demonstrated experience using version control for code development and curation.
• Excellent problem-solving ability with good communication skills
• Ability to work independently and yet amicably in a team environment to meet deadlines
How to Apply
Australian/NZ citizen, permanent resident of other applicants with full working rights can only apply.
All applications must include a cover letter along with your resume with at least 2 referees. We are reviewing applications as they are received. This position will remain open until 16, August 2020.
Job website: http://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Bioinformatician---The-Garvan-Weizmann-Centre-for-Cellular-Genomics_PRF5615-1
Contact name: Michelle Earle
Contact email: m.earle@garvan.org.au
Genomic Analysis Lead @ Sydney
Position title: Genomic Analysis Lead
Employer: Garvan Institute of Medical Research
Closing date: 30/08/2020
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 Centre for Population Genomics, a new multi-institution initiative is planned for a formal launch in August 2020. The Centre will focus on the development of cutting-edge tools and resources to facilitate the conversion of genomic data into improved diagnosis and treatment for Australians, the field known as genomic medicine. Ultimately, the Centre will generate and manage the largest sets of genomic and clinical data ever assembled in Australia, and apply these to solve a wide variety of scientific and medical problems. The Centre’s staff will operate from two physical sites: Garvan in Sydney, and the Murdoch Children’s Research Institute (MCRI) in Melbourne.
The Opportunity
We are seeking a highly motivated genomic analysis expert to recruit and lead a team of computational scientists developing complex genomic analysis workflows on Australia’s largest human genomic data sets. The Genomic Analysis Lead will develop and implement a strategy for analysis of human data ultimately spanning more than ten thousand whole genome and single-cell transcriptome data sets from diverse Australian communities. This is a unique opportunity to play a leadership role in a new Centre that will shape the future of genomic medicine in Australia, and build resources with global impact.
Over the last ten years the human genomics community has collected an extraordinary volume of data on genetic variation in the human population, thanks to genome or exome sequencing performed on millions of people worldwide. However, much work remains to be done to ensure that these data can be translated into genomic medicine that benefits the entire population, in Australia and globally. This will require, for instance, platforms for storage and computing across millions of human genomes, new methods for analysis, and targeted strategies to ensure that all populations are represented in the next generation of reference databases.
The Centre for Population Genomics will build the tools and massive data sets required to integrate genomics into medicine in Australia. The Genomics Analysis Lead will be responsible for developing an analysis strategy for very large and diverse genomic data sets, for developing scalable pipelines for complex analysis, and for working closely with the Centre’s software development team to implement these at production scale. This individual will recruit and manage a team with diverse skills across computational biology, statistics, and human genetics to create these pipelines, perform analyses, and contribute extensively to the publication of high-impact science.
This position will report directly to the Centre Director, Daniel MacArthur, who previously led a team at the Broad Institute of MIT and Harvard in Boston that was responsible for the development and open release of the Genome Aggregation Database (gnomAD), a collection of genetic data from over 140,000 individuals that has become one of the most widely-used reference databases in human genetics.
The Genomic Analysis Lead can be located at either the Garvan in Sydney or the Murdoch Children’s Research Institute in Melbourne. To adapt to the impact of COVID-19, we will launch under a completely remote model – all staff will begin their employment working from home, and can begin their work without needing to relocate to Sydney or Melbourne.
This is a three-year full time role with high possibility to extend.
Key Responsibilities
The key responsibilities include:
● Working with the Centre Director, other senior Centre staff, and external stakeholders to develop and implement strategic plans for analysis of the Centre’s large-scale genomic data sets, and to develop a broader scientific strategy for the Centre as a whole
● Building technically competent teams by recruiting and managing a team of computational staff scientists with diverse skills across the fields of computational biology, statistical and population genetics, and machine learning
● Developing and nurturing a culture of rigor and openness in software development and analysis, including following software development best practices, ensuring code developed by the Centre is made available as open-source software, and that Centre members approach the analysis of large data sets with extreme rigor and scepticism
● Leading meetings dedicated to code review and analysis best practices
● Meeting regularly with the Centre Director and other scientific staff and trainees to identify key priority areas for algorithm development, and externally developed software to be tested and applied to Centre data sets
● Liaising with the Centre’s Software Team to ensure that pipelines developed by the Genomic Analysis Team are rapidly and effectively productionised and deployed at scale on cloud-based platforms as well as on-premises hardware
● Developing plans for solving daunting technical challenges, such as QCing and analysing sequence data sets of enormous scale, by making full use of their team members and wider Centre resources
● Presenting internally and externally – including at national and international meetings – about the analysis work done at the Centre
● Contributing to (and in some cases leading) the generation of scientific publications and funding applications
About You
The key skills and experience include:
● A PhD in computational biology, functional genomics, statistical genetics, population genetics, or a related field, and at least two years of postgraduate experience in the field; or an equivalent amount of direct work experience in these fields
● Highly autonomous and self-motivated: able to define and manage the execution of novel strategies for analysis across a wide range of technical areas, from basic sequence data set quality control through to population genetic analyses, without tight specifications in advance
● Good written communication skills: able to contribute to, and in some cases lead, papers, grants, and technical reports
● Highly collaborative: more concerned with solving important biological problems by working with others than with securing individual credit
● 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
How to Apply
Australian/NZ citizen, permanent resident, or other applicants with full working rights can apply. We are also open to visa sponsorship for overseas applicants. All applications must include a cover letter along with your resume with at least two referees. We are reviewing applications as they are received. If this position is of interest to you, please apply quickly.
Job website: http://garvan.wd3.myworkdayjobs.com/en-US/garvan_institute/job/Sydney/Analysis-Lead_PRF5514-1
Contact name: Michelle Earle
Contact email: m.earle@garvan.org.au
Senior Research Officer (Bioinformatician) @ Perth
Position title: Senior Research Officer (Bioinformatician)
Employer: Murdoch Childrens Research Institute
Closing date: 30 July 2020
Brief position description: We are looking for a Senior Research Officer (Bioinformatician) to join the Translational Bioinformatics group. A key part of your role will be working on the Rare Diseases Now (RDNow) Program. This program is aimed to expand the successful Undiagnosed Diseases Program Victoria (UDP-Vic) utilising a multi-faceted approach to reach a diagnosis in individuals who remain unsolved after clinical exome sequencing.
In this role you will drive the integrated analysis of genomic data to identify the genetic cause of disease in those patients. You will liaise with the clinical and laboratory diagnostic teams and the functional genomic research teams as well as the extended MCRI organisation, and therefore it is essential you have excellent communication and engagement skills.With these teams you will drive clinical and research genomic sequencing data and the identification of candidate novel disease-causing variants. To be successful in this role you will have demonstrated your ability to drive and implement key program objectives.
You will be an experienced Bioinformatician with a deep understanding of Mendelian disorders and the underlying genetic and biological concepts that cause them. You will have demonstrated experience in the analysis and interpretation of next-generation sequence data.
You will be ready to contribute to an innovative program to improve the future of children’s health.
Job website: https://career10.successfactors.com/sfcareer/jobreqcareer?jobId=21315&company=C0007531036P
Contact name: Cas Simons
Contact email: cas.simons@mcri.edu.au
Research Officer @ Sydney
Position title: Research Officer, Computational Systems Biology
Employer: Children’s Medical Research Institute (CMRI)
Closing date: 7th August 2020
Brief position description: The opportunity
The Computational Systems Biology (CSB) lab at CMRI is welcoming applications for a Research Officer to conduct research in the broad area of systems stem cell biology and single-cell multi-omics. The CSB lab collaborates closely with other groups and units at CMRI (e.g. Embryology) and also bioinformaticians from the School of Mathematics and Statistics, and systems biologists from Charles Perkins Centre (CPC), at the University of Sydney.
This is a three-year fixed term position with possibility for extension tenure subject to satisfactory performance, and the requirements of research projects in the Research Unit.
About the role
This position will help you building a collaboration network across multiple institutes and a track record that enables you to apply for collaborative research funding and independent research fellowship. Specific roles include (but not limited to) the following:
Lead and carry out research projects in the broad area of systems biology, stem cells biology, and single-cell multi-omics.
Prepare and publish work on scientific journals and present scientific results in national/international conferences.
Develop and co-supervise research projects for undergraduate and graduate research students.
Assist in the recruitment of research students and continuously working towards attracting new funding.
Build collaboration with different labs in CMRI and across multiple institutes/universities at Sydney (e.g. CPC and School of Mathematics and Statistics) and beyond.
About you
We are look for someone with the follow characteristics and research experience.
A PhD in an appropriate area such as (but not limited to) computational and systems biology, bioinformatics, computer science, statistics or another closely related scientific discipline.
Proven research ability, and evidence of self-motivation and research potential
Demonstrated experience with omics, bioinformatics, systems biology and molecular biology
Demonstrated experience with machine learning, deep learning and data analytics
Proven excellence in written and oral communications, interacting with a variety of researchers and stakeholders
Proven commitment to producing high quality work and a demonstrated track record of high-quality publications
Demonstrated excellence in research within bioinformatics or computational systems biology through published research in refereed journals
Proven ability to write and contribute to bioinformatic, computational, statistical, or mathematical research papers
Knowledge of stem cells and development
Computational Systems Biology group
CSB lab (https://pyanglab.github.io) combines computational ('dry') and experimental (‘wet’) expertise to understand stem cell systems. The lab resides in CMRI, Westmead, while also holding office space at both School of Mathematics and Statistics and Charles Perkins Centre, USyd, which enable ample collaboration with statisticians and bioinformaticians; computational and systems biologists; and molecular and developmental biologists.
Current focus of the lab is on transcriptional regulation in stem cells (Yang et al. Molecular Cell, 2017; Kim…Yang, Nucleic Acid Research, 2020); bulk and single-cell multi-omics analysis (Yang et al, Cell Systems, 2019; Kim…Yang, Bioinformatics, 2020); and machine learning application in systems biology (Cao…Yang, Nature Machine Intelligence, 2020). The overarching goal of the lab is to develop computational methods for characterising stem cell systems and harnessing them for tissue regeneration.
Job website: http://www.seek.com.au/job/50204904
Contact name: Pengyi Yang
Contact email: pengyi.yang@sydney.edu.au