Australia Job Openings

The Garvan Institute of Medical Research
Research Officer - Translational Genomics
Sydney
FULL TIME
October 20, 2024
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Generous salary packaging to save you income tax on your wages thereby boosting your monthly take home pay (max. $15,900 general expenses + $2,650 meals/accom)
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Ample opportunities for on-going training and development
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Stimulating, diverse and highly international research environment
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Flexible work arrangements e.g. start / finish times
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18 weeks paid parental leave for both parents including paid superannuation
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A range of additional leave types to meet your personal needs including cultural leave, conference leave, community service and study leave
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Discounted Health Insurance
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Lifestyle discounts with our community partners
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Resolving genetic mechanisms of complex human disease by applying single-cell and statistical genetics methods.
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Leading aspects of the project
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Staying informed on advances in computational methods genomics, as well as building and maintaining biological domain expertise
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Presenting results in internal meetings and conferences
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Contributing to scientific manuscripts
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Collaborating with other group members and as part of national and international consortia
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Record-keeping and administrative aspects that underlie scientific research in discussion with group members and development of timelines.
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Attending, discussing and reviewing current and future techniques within the institute
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A Ph D in a relevant field such as bioinformatics, computer science, biology, statistics or other relevant areas.
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High proficiency in programming and scripting languages (e.g. Python, R).
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Experience with Unix and HPC environments
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Experience in managing large datasets in an HPC environment
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Demonstrated experience using version control for code development and curation
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An interest in genetics, and cellular biology
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Excellent problem-solving skills
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Good communication skills and strong in teamwork and collaborative research
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Excellent project management and organisation skills.
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Ability to work independently and meet deadlines.
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Proficiency with C/C++, Java and/or Perl scripting languages
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Experience and expertise in ML/AI algorithms for analysis of genomic data.
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Good knowledge of statistics and presentation of molecular/clinical data.
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Experience in analysing and interpreting large genomic data sets (WGS, RNA-Seq, sc RNA-Seq).
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