Bioinformatics Post Doctoral Researcher

Bioinformatics Post Doctoral Researcher - SJ Dawson
Unit: Dawson SJ
Division: Cancer Research
Department: Laboratory Research
At Peter Mac 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 and retaining top talent and providing the best possible cancer care for our patients.
YOUR ROLE IN OUR FUTURE The Post-doctoral Researcher will be involved in the analysis of large-scale genomic data, with a focus on whole genome sequencing, through the application of best-practice bioinformatics workflows and the development of innovative new methods as required.
The Post-doctoral Researcher is responsible for: Designing and carrying out experiments that fulfill the aims of the project.Completing accurate analysis and interpretation of experimental results.Presenting results to other members of the laboratory, as well as within local seminars, national and international conferences.Supervision and training of staff and students when appropriate, including demonstrated ability to provide leadership and innovation.Fostering good working relationships with colleagues, including collaborators.This position is: 12-month Fixed-Term, Full-Time
Onsite presence essential at 305 Grattan Street, Melbourne, VIC 3000
1RA6 - 1RA10 depending on qualifications and experience
Basic Salary Range: $97,770.40 to $113,262.24 AUD
Applications are invited to join an exciting research program within the Molecular Biomarkers and Translational Genomics Laboratory led by Sarah-Jane Dawson at the Peter MacCallum Cancer Centre (www.thedawsonlab.com).
The research will explore the use of circulating tumour DNA to study genomic and epigenomic evolution and provide insights into treatment response and resistance in cancer.
Applicants to this role should provide a cover 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).
Please consolidate all information into a single document.
Applications Close: Friday, 20th December, 2024
Position SummaryThe position will involve the analysis of large-scale genomic data, with a focus on whole genome sequencing, through the application of best-practice bioinformatics workflows and the development of innovative new methods.
The individual will be responsible for driving their own specified projects, but will also collaborate very closely with cancer molecular biologists to work on joint initiatives.
The position will require a highly motivated and skilled bioinformatician or computational biologist with expertise in the analysis of next generation sequencing data, integration of genome-wide datasets, competency in programming languages R and Python and experience with working on a high-performance computing cluster.
Applicants should have demonstrated experience developing and deploying bioinformatics analysis workflows.
Experience working with containers and version-controlled pipelines as well as cloud computing is desirable but not required.
The position will be in a research environment that includes a large and interactive group of bioinformaticians and computational biologists within The Collaborative Centre for Genomic Cancer Medicine at the Peter MacCallum Cancer Centre and The University of Melbourne.
The position will be initially for a fixed term of 12 months with the opportunity to extend.
Remuneration will be commensurate with qualifications and experience.
This role will contribute to the University of Melbourne's partnership with international genomics company Illumina by collaborating with The Advanced Genomics Collaboration by jointly fostering the development of world-leading genomics research and innovation activities and to accelerate the translation of these innovations through to adoption in the healthcare system.
Key RelationshipsInternal Group Leader: Professor Sarah-Jane DawsonDawson Laboratory staff and studentsCancer Therapeutics Program staff and studentsCluster 1 staff and studentsUniversity of Melbourne: The Collaborative Centre for Genomic Cancer Medicine (CCGCM) staffCore Research facilities staffOther research staff and studentsOther Peter Mac staff and studentsExternal External research and clinical collaboratorsIndustry partnersStaff from other research institutionsComputing facility staff and facilitatorsMinimum RequirementsPhD in Computational Biology, Bioinformatics or over three years working in bioinformatics or closely related fieldExperience in analysing a wide range of next generation sequencing data including whole genome, targeted sequencing and/or RNA sequencingExperience in somatic variant calling and curationDemonstrated knowledge of current tools, standards, and methods in bioinformaticsDemonstrated capacity for independent researchDemonstrated ability for transferring knowledge and supervisionDemonstrated experience developing and deploying bioinformatics analysis workflowsWillingness to learn new bioinformatic methods and testing their effectivenessAbility to work both independently and as part of a teamHigh level organisational, interpersonal and time management skillsFirst author publications in a relevant areaExcellent Python and R programming skillsExperience with high performance computing clusters environmentsExpertise in cancer researchExperience working with containers, version controlling and cloud computingSpecific experience in workflow development and management systems such as Nextflow and SnakemakeKey AccountabilitiesKey Accountabilities Demonstrated by / Key Performance Indicators Conducts rigorous, valid and ethical research both independently and as part of the laboratory teamDesigns and carries out experiments that fulfil the aims of the projectsExcellent technical skills and eye for detailAccurate analysis and interpretation of experimental resultsWillingness to learnComprehensive knowledge of literature related to research areaAbility to work independently and utilise time effectivelyPrepares manuscript, grant, fellowship and ethics submissionsRegular attendance at group and program meetingsHigh level of integrity and ethicsCompletes tasks in a timely and efficient mannerExcellent record-keeping skillsFlexibility in supporting other lab staff as directed by Group LeaderCommunication of research outcomesAuthorship and intellectual contribution to research papers, including generation of data for, and writing of, grant applicationsPresentation of results to other members of the laboratory including at program meetingsPresentation of research results/data at Peter Mac, local seminars, national and international conferencesAbility to communicate effectively with others in the laboratory and Peter Mac ResearchContributes to discussions, lab, cluster and program meetingsExcellent oral and written communication skillsSupervision of Staff and StudentsProvides help and regular feedback to staff and studentsSupervision and training of staff and students when appropriate, including demonstrated ability to provide leadership and innovationFoster a good working relationship with colleagues, including collaboratorsGood working relationships with others both within the laboratory and within the institutePolite and respectful with others both within the laboratory and within the instituteAbility to work in a teamWillingness to help others in lab as requiredEvidence of established collaborations with local, national and/or international research groupsRecognition by peers of a broad scientific skill base and well-developed specialised area of expertise #J-18808-Ljbffr