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