Senior Research Officer – Bioinformatics / Computational Biology
The Garvan Institute of Medical Research is one of Australia’s leading medical research institutes, with over 600 scientists, students and support staff. We pioneer study into the most widespread diseases affecting our community today, including cancer, neurodegenerative and mental diseases, disorders of the immune system, diabetes and obesity, osteoporosis and other skeletal disorders.
The Cancer Research Theme is an integrated series of strongly interactive research groups undertaking research aimed at increasing international knowledge on the development, progression, treatment and prevention of human cancers. The Genomic Cancer Medicine program applies genomic technologies to clinically important questions, and seeks to answer fundamental questions in tumour evolution.
We are seeking a Senior Research Officer to investigate the earliest steps in cancer initiation and evolution, integrating bioinformatic and population genetic methods.
Reporting to Professor David Thomas, Laboratory Head – Genomic Cancer Medicine, the key responsibilities include:
- Planning and executing research
- Developing methods to extract quantitative, ultra-low frequency variation from sequence data derived from tumour and blood samples.
- Analysing ultra-low frequency clonal variation in in vitro clonal evolution under selective pressures;
- Applying these methods to quantitate clonal neoplastic events in an extremely cancer-prone population with Li-Fraumeni syndrome; and
- Analysing the whole genomes of more than 20 tumours arising in a cancer-prone family, aiming to identify the common pathways resulting in the formation of tumours in a defined genetic context.
The role will be offered full-time for 4 years in the first instance.
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.
- 2 years of relevant research experience.
- Proficiency with genotyping of human samples using massively parallel sequencing technology.
- 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 tissue and clinical data for research
- Statistical expertise and experience with the R programming language and key libraries is highly desirable.
- Knowledge of cancer biology and evolution is highly desirable.
How to Apply
All applications must be submitted via the Garvan Careers site via the link below. Applications from other sites/channels will unfortunately not be considered.
Your application should include:
- A cover letter
- Your resume including at least 2 referees
- Copies of relevant qualifications / academic transcripts
This role will remain open until 12 July 2019. As we will be reviewing applications as they are received, we encourage you to submit yours as soon as possible.