Select how often (in days) to receive an alert:Postdoctoral Fellow (Bioinformatics & Computational Biology) - M Dawson LabDate: 5 Apr 2025Unit: Dawson MDivision: Cancer ResearchDepartment: Laboratory ResearchThe Peter MacCallum Cancer Centre (Peter Mac) is a Victorian public health service and a world-leading comprehensive cancer centre seeking to excel across all spheres of clinical care, research and education. We have the largest cancer research enterprise in Australia and provide treatment to about 40,000 people with cancer each year. We aim to continuously improve cancer care, research and education across all cancers and for all people affected by cancer: changing lives, breaking new ground. Everything we do is underpinned by our core values, Excellence, Compassion and Innovation. Welcoming people from a wide variety of different backgrounds and experiences is critical to fostering innovation, cultivating compassion, attracting top talent and providing the best possible cancer care for our patients.YOUR ROLE IN OUR FUTUREPostdoctoral Fellow (Bioinformatics & Computational Biology) - Mark Dawson LaboratoryApplications are invited to join an exciting multi-disciplinary research program within Mark Dawsons Laboratory (www.thedawsonlab.com) at the Peter MacCallum Cancer Centre. The research will explore the molecular mechanisms that govern clonal behaviour in normal development and in cancer biology to provide insights into cell fate decisions, normal and malignant stem cell renewal, treatment response and resistance in cancer.The position will involve the analysis of large-scale single cell data through the application of best-practice bioinformatics workflows and the development of innovative methods as required. The position will require a highly motivated bioinformatician or computational biologist to build on innovative methods including SPLINTR (Fennell, Vassiliadis et al; Nature 2022; Holze et al Cell Reports Methods 2024; Guirguis et al Cancer Discovery 2023) a cellular barcoding and lineage tracing technique. This position is responsible for:The analysis of a range of single cell sequencing data types, including scRNA-seq, scChIP-seq, scATAC-seq and spatial transcriptomics and other emerging single cell platforms.Proficiency in R and at least one relevant programming language (e.g. Python/Perl) and experience working on a high-performance computing cluster in a linux environment and knowledge of shell scripting.Collaborating very closely with other bioinformaticians, as well as cell and molecular biologists in the Dawson laboratory team to advance joint initiatives.The position will be in a research environment that includes a large and interactive group of bioinformaticians and computational biologists in the Bioinformatics Core Facility and in research groups within the Peter MacCallum Cancer Centre and the University of Melbourne. This position is:12-months Fixed-Term, Full-Time (potential opportunity to extend)Onsite presence essential at 305 Grattan Street, Melbourne, VIC 3000Basic Salary Range: $97,770.40 to $113,262.24 AUD p.a.Advertising from Friday, 7th March to Friday, 2nd May 2025Peter Mac offers its employees the following benefits:Salary packagingEmployee Assistance ProgramCentral City locationTraining and Development programApplicants to this role should provide a covering letter outlining their interest and experience and also provide their responses against the selection criteria (found in the Position Description under Essential and Desirable Requirements sections) to assist us with our assessment.For further information about this opportunity, click Apply to be redirected to the Peter Mac Careers page where you can review the position summary. Alternatively, please contact us using the information below for a confidential discussion.Hiring Manager: Dane Vassiliadis and Enid LamEmail: Dane.Vassiliadis@petermac.org or Enid.Lam@petermac.orgApplications Close: 2 May 2025Position SummaryThis 1.0EFT position is for a bioinformatics postdoctoral fellow to drive the computational aspects of a range of exciting projects, both new and ongoing, in the Dawson laboratory. The position will involve the analysis of large-scale single cell data through the application of best-practice bioinformatics workflows and the development of innovative methods as required. The position will require a highly motivated bioinformatician or computational biologist to build on innovative methods including SPLINTR (Fennell, Vassiliadis et al; Nature 2022; Holze et al Cell Reports Methods 2024; Guirguis et al Cancer Discovery 2023) a cellular barcoding and lineage tracing technique. The role will include the analysis of various single cell sequencing data types, including scRNA-seq, scChIP-seq, scATAC-seq, spatial transcriptomics and other emerging single cell platforms. The role requires strong R programming skills as well as familiarity with additional programming languages such as Python and/or Perl. The position requires experience working on a high-performance computing cluster in a Linux environment and knowledge of shell scripting. Best practices in documentation and coding, particularly with respect to reproducible and transparent science are required. The individual will collaborate very closely with other bioinformaticians, as well as cell and molecular biologists and clinical fellows to advance joint initiatives.The successful applicant must have the ability to conduct research both independently and as part of a team, provide competent computational and analysis skills to the laboratory and be able to communicate results with research investigators.This role is based within the Collaborative Centre for Genomic Cancer Medicine, a joint venture of the University of Melbourne and Peter MacCallum Cancer Centre seeking to improve the lives of people with cancer through equitable access to personalised treatment options and prevention strategies informed by the latest genomic tests and analysis.Classification or Salary RangeLevel A: 1RA5 - 1RA10Immunisation Risk Category CKey RelationshipsInternalGroup Leader: Professor Mark DawsonDawson Laboratory staff and studentsCancer Therapeutics Program staff and studentsCluster 1 staff and studentsCore Research facilities staffOther research staff and studentsOther Peter Mac staff and studentsUniversity of Melbourne: The Collaborative Centre for Genomic Cancer Medicine (CCGCM) staffExternalExternal research collaboratorsIndustry partnersStaff from other research institutionsEducationSkillsPhD in Bioinformatics, Computational Biology, Statistics, Computer Science, Genetics or equivalentDetailed knowledge of R and/or at least one relevant programming language, such as Python or PerlDetailed knowledge of high performance computing using Linux architecturesExperience in the analysis of high throughput sequencing dataSolid grasp of statistical methods relevant to biological researchKnowledge of best practices in conducting reproducible and transparent computational researchExcellent organizational and time management skillsFlexibility and ability to develop new skillsAbility to work both independently and as a member of a teamHigh quality written and oral communication skillsKnowledge of cancer biology, genetics and/or genomicsExperience in the analysis of single cell transcriptomic datasetsExperience with mentorship and/or project managementCertifications, Licenses & RegistrationsKey AccountabilitiesKey Accountabilities Demonstrated by / Key Performance Indicators1. Generation of high quality, reproducible data through conduction of valid and ethical researchAccurate analysis and interpretation of dataMeticulous documentation and version trackingAbility to compile data and synthesise information for manuscripts and grantsAbility to follow and understand instructionsWillingness to learnAbility to work with limited supervisionCareful, accurate and timely record keepingHigh level of integrity and ethics2. Communication of research outcomesAbility to communicate effectively with others in the laboratory and the Research Division, Peter Mac Research and University of MelbourneContributes to discussions, lab, cluster and program meetingsPresentation of results to other members of the laboratoryPrepares manuscript, grant, fellowship and ethics submissionsExcellent oral and written communication skills3. Foster a good working relationship with colleaguesDevelopment of a good working relationship with others in the laboratory and Research DivisionAbility to work in a teamWillingness to help others in the laboratory as required4. Human Resource ManagementTakes all reasonable steps to prevent bullying, discrimination and harassment in the workplaceParticipates in and/or conducts annual performance development and review on 100% of staffComplies with Peter Mac policies to maintain a safe work placeFollows established procedures and guidelines______________________________________________________________________________________________________Peter Mac is a child safe organisation and has a commitment to child safety and wellbeing.WHY WORK FOR PETER MACPeter Mac offers a range of benefits which support our people both personally and professionally.Our staff benefits include award winning facilities, professional development and events, a health and wellbeing program, flexible work practices and policies and financial benefits such as salary packaging.We encourage applications from Aboriginal and Torres Strait Islander people, all members of the LGBTQI community and people with a disability.The Peter MacCallum Cancer Centre acknowledges the traditional owners of the land on which our five sites are located throughout Victoria. We recognise their strength and resilience and pay our respects to their Elders past and present. #J-18808-Ljbffr
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