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Research Officer - Statistical Genetics

Garvan Institute of Medical Research

The Australian Genomic Cancer Medicine Centre (AGCMC, also known as Omico) is a not-for-profit, nationwide network of centres and medical research institutes that delivers precision medicine clinical trials and studies for the screening, prevention and treatment of cancers. It has a focus on patients with rare, less common and early onset cancers, and cancers with poor outcomes. The Molecular Screening and Therapeutics (MoST) program is a key component of the AGCMC, running in New South Wales since 2016 and co-ordinated at the Garvan Institute, and requires a bioinformatics research officer for operations and development.

THE OPPORTUNITY We are seeking a Research Officer to join Prof David Thomas's research group to understand the molecular underpinnings of inherited sarcoma susceptibility. The research officer will lead and contribute bioinformatics and statistical analysis with a primary focus on statistical fine-mapping and functional bioinformatics using whole genome sequencing cohorts. Salary: Up to $100,000 14% super dependent on experience Employment Type: 2 year maximum term contract SNAP SHOT OF BENEFITS 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) Ample opportunities for on-going training and development Stimulating, diverse and highly international research environment Flexible work arrangements e.g. location, start / finish times etc 18 weeks paid parental leave for both parents including paid superannuation A range of additional leave types to meet your personal needs including cultural leave, conference leave, community service and study leave Discounted Health Insurance Lifestyle discounts with our community partners WHAT YOU WILL DO Planning and executing research Analysing common, rare and structural variants from whole genome sequencing datasets Developing methods to extract quantitative, ultra-low frequency variation from sequence data derived from tumor and blood samples.

Develop novel computational methods to extract biological knowledge Develop pharmacogenomics approaches in case:control cohort ABOUT YOU The successful candidate will possess the following key skills and qualifications: A PhD in bioinformatics or computational biology, or equivalent experience in a related field. Proficiency with genotyping of human samples using massively parallel sequencing technology. Expertise in integrating and merging biological databases into variant annotations Ability to manage and process large datasets in a POSIX environment.

Fluency in at least one scripting language. Excellent communication skills and strong in team work and collaborative research Ability to conceptualise and execute a research plan to investigate an open-ended question, with minimal supervision. A proven track record e.

g. publications, grants, software/tool development Familiarity with the ethical issues and guidelines relating to the use of human t.


Date22 November 2022

Location -

type Full Time

Salary -

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