Computational Biologist

Job Description

Title: Computational Biologist

Company Name: Garvan Institute of Medical Research

Vacancy: 1

Job Location: Sydney, CBD, Inner West & Eastern Suburbs

Employment Status: Full Time

Computational Biologist

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.

The Kinghorn Centre for Clinical Genomics (KCCG), within Garvan, advances the use of genomic information in patient care. KCCG acts as a mechanism to translate genomic research information into patient care.

The Opportunity
KCCG's Computational Biology Group is a newly established group focusing on genomics and biomedical data analysis, combining computational skills with biological domain expertise. The group applies and develops computational methods to better understand human disease. We take a collaborative approach, working closely with experimental researchers to tackle problems that address critical unmet medical needs.

We have multiple positions for computational scientists at different levels who are looking for an opportunity to establish themselves in a new team. Successful candidates will work on genomics studies with experimental researchers across research themes at Garvan and KCCG. Example projects from Cancer Genomics include liquid biopsy analyses to monitor cancer patients, single-cell analyses of clinical trial samples, genomics study of patients with an unusual response to therapy to understand underlying molecular mechanisms. Successful candidates will contribute to the different phases of genomics studies, including design and planning, data analysis, interpretation and manuscript writing.

Key Responsibilities

  • Analysis of high-throughput datasets, including quality control, unsupervised and supervised analyses, with an emphasis on biological interpretation
  • Preparing figures for publication, contributing to manuscript writing
  • Experimental design and planning
  • Creating and maintaining modular, reusable and reproducible workflows through use of container and workflow management technologies
  • Developing best practices for computational workflows through evaluation/benchmarking of existing methods and/or original method development
  • Import and analysis of external datasets as resource or for validation purposes
  • Staying abreast on advances in genomics and computational methods
  • Contribute to internal education programs through mentoring, technical supervision, code reviews
  • Occasionally represent KCCG at events, or talks with external stakeholders

About You

  • PhD degree in a related area of science or engineering
  • Good knowledge of biology
  • Good statistical knowledge and programming skills
  • Previous experience working with next-generation sequencing data, e.g. RNA-seq, targeted or whole genome sequencing, ChIP-seq, ATAC-seq, single-cell sequencing
  • Publication record commensurate with experience
  • Comfortable working with Unix and in an HPC environment
  • Proficient in at least one scripting language (R, Python, Perl)
  • Familiar with version control systems

Desired

  • Postdoctoral research experience
  • Interest in biomedical data science
  • Interest in personalised medicine and clinical genomics
  • Experience with R/Bioconductor
  • Experience working with single-cell sequencing data
  • Experience with software containers, workflow management systems, databases, cloud computing

How to Apply

Australian/NZ citizen, permanent resident or other applicants with full working rights can only apply. To apply for this position, please submit your application including CV and cover letter addressing the above criteria. As we will be reviewing applications as they are received.

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.

The Kinghorn Centre for Clinical Genomics (KCCG), within Garvan, advances the use of genomic information in patient care. KCCG acts as a mechanism to translate genomic research information into patient care.

The Opportunity
KCCG's Computational Biology Group is a newly established group focusing on genomics and biomedical data analysis, combining computational skills with biological domain expertise. The group applies and develops computational methods to better understand human disease. We take a collaborative approach, working closely with experimental researchers to tackle problems that address critical unmet medical needs.

We have multiple positions for computational scientists at different levels who are looking for an opportunity to establish themselves in a new team. Successful candidates will work on genomics studies with experimental researchers across research themes at Garvan and KCCG. Example projects from Cancer Genomics include liquid biopsy analyses to monitor cancer patients, single-cell analyses of clinical trial samples, genomics study of patients with an unusual response to therapy to understand underlying molecular mechanisms. Successful candidates will contribute to the different phases of genomics studies, including design and planning, data analysis, interpretation and manuscript writing.

Key Responsibilities

  • Analysis of high-throughput datasets, including quality control, unsupervised and supervised analyses, with an emphasis on biological interpretation
  • Preparing figures for publication, contributing to manuscript writing
  • Experimental design and planning
  • Creating and maintaining modular, reusable and reproducible workflows through use of container and workflow management technologies
  • Developing best practices for computational workflows through evaluation/benchmarking of existing methods and/or original method development
  • Import and analysis of external datasets as resource or for validation purposes
  • Staying abreast on advances in genomics and computational methods
  • Contribute to internal education programs through mentoring, technical supervision, code reviews
  • Occasionally represent KCCG at events, or talks with external stakeholders

About You

  • PhD degree in a related area of science or engineering
  • Good knowledge of biology
  • Good statistical knowledge and programming skills
  • Previous experience working with next-generation sequencing data, e.g. RNA-seq, targeted or whole genome sequencing, ChIP-seq, ATAC-seq, single-cell sequencing
  • Publication record commensurate with experience
  • Comfortable working with Unix and in an HPC environment
  • Proficient in at least one scripting language (R, Python, Perl)
  • Familiar with version control systems

Desired

  • Postdoctoral research experience
  • Interest in biomedical data science
  • Interest in personalised medicine and clinical genomics
  • Experience with R/Bioconductor
  • Experience working with single-cell sequencing data
  • Experience with software containers, workflow management systems, databases, cloud computing

How to Apply

Australian/NZ citizen, permanent resident or other applicants with full working rights can only apply. To apply for this position, please submit your application including CV and cover letter addressing the above criteria. As we will be reviewing applications as they are received.

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