Computational Biologist
Found in: Talent AU C2 - 2 weeks ago
As part of the Centre for Population Genomics (CPG, Directed by Daniel MacArthur), and with the generous and long-term support of Snow Medical, the Genomic Medicine Lab is developing an ambitious program to understand the clinical impact of genetic variation. Our focus is to use large-scale population, clinical, and cellular genomics to understand, predict, treat, and prevent disease. A key interest is understanding the impact of somatic variation and clonal haematopoiesis in diseases of inflammation and ageing, and the interaction of somatic variation with other genetic and non-genetic risk factors.
THE OPPORTUNITY
An integral part of our program is to understand the impact of inherited and acquired genetic variation in disease risk and progression, through the analysis of large-scale genomic and clinical datasets. This will include the design and implementation of scalable somatic variant calling and statistical analysis pipelines across large-scale clinical and genomic datasets (both short- and long-read WGS, as well as single-cell genomic datasets), deployed across cloud-based computational environments.
The successful applicant will have opportunities to lead and publish projects in translational genomics, including national and international collaborative efforts. This role also comes with the benefit of membership of the Centre for Population Genomics (CPG): a joint initiative of the Garvan Institute of Medical Research and the Murdoch Children’s Research Institute (MCRI), with a mission to collect and analyse genomic data at a transformative scale. In this role, you will have ample opportunity to work closely with professional and academic CPG colleagues in analysis and methods development, software engineering, and project management, and with the large and unique genomic datasets and analysis tools they curate. We also have a strong clinical focus with an extensive network of clinical collaborators, maximising opportunities for the candidate to have real-world clinical impact. This is a 2 years term contract with a high possibility to extend.
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
The Computational Biologist will make significant contributions in the following areas:
Working closely with colleagues to design and implement quality control pipelines for large-scale somatic and germline variant callsets and accompanying clinical data.
Leading the development and implementation of appropriate statistical analyses.
Actively contributing to the development of study hypotheses, the interpretation of results, and the preparation of high-impact scientific manuscripts and their presentation to internal and external audiences.
Positively engaging with internal and external colleagues on collaborative projects, and contributing to the overall scientific strategy of the team.
Actively contributing to a culture of scientific excellence through adherence to computational best practices, rigorous quality control, and reproducible science.
Cost-effectively managing and integrating code repositories and datasets across cloud-based platforms and on-premise hardware.
ABOUT YOU
In order to be successful in this position, you will demonstrate the following key skills and attributes:
Formal qualifications in a quantitative discipline such as Computational Biology, Statistical Genetics, Computer Science, or a related field.
Strong proficiency in at least one coding language (Python and R preferred), and direct experience in high-performance and/or cloud computing, and collaborative coding.
Highly engaged and motivated: able to define and execute computational strategies across a wide range of technical areas, from basic sequence quality control, to analysis of large genomic and clinical datasets.
Excellent written communication skills, with a demonstrated ability to lead the production of high-quality academic manuscripts, grant applications, and/or technical reports.
Excellent verbal communication skills, with a demonstrated ability to effectively represent teams internally and externally.
Highly collaborative, with a demonstrated ability to build and maintain relationships within and between teams, and engage in complex discussions remotely.
A problem-solving mentality, with an ability to navigate complex technical obstacles, and work effectively with other team members and colleagues to overcome them.
ABOUT GARVAN
The Garvan Institute of Medical Research is an independent Medical Research Institute (MRI) in Sydney, delivering scientific and clinical impact on a global basis and in partnership with organisations that share our vision. We are proud to be one of Australia’s largest and most highly regarded MRI’s.
Our vision is global leadership in discoveries to impact and our enduring purpose is to impact human health, by harnessing information encoded in our genome.
We seek to see our world-class discovery research achieve life-changing impacts, not only for individual patients with rare diseases, but for the many thousands affected by complex, common disease.
Garvan promotes a diverse workplace and is committed to the principles of equity, diversity, inclusion and belonging.
HOW TO APPLY
To apply for this position, please submit your application with a CV and cover letter as one document, stating why you are interested in this role. We are reviewing applications as they are received. If you think you’re the right person for this role, we’d love to hear how your capabilities, achievements and experience set you apart.
