Obesity, diabetes and cardiovascular disease have emerged as huge public health challenges in an ever more affluent world. In this position, your task is to integrate molecular high-throughput data from public and private data sources in order to discover causal genetic and regulatory variants that can be targeted to prevent and treat the health consequences of chronic metabolic diseases.
Our environment is highly interdisciplinary: you will work closely with statisticians, computer scientists, molecular biologists, geneticists and clinicians, and you will also collaborate with scientists locally and internationally.
We encourage you to find the simple yet elegant questions that can transform complex statistical challenges into solvable computational problems, and to translate masses of numbers into beautiful and striking images that can communicate the findings to the scientific community and to the global human society that needs solutions for the impending diabetes pandemic.
If you have a background in engineering sciences or bioinformatics, this is a great opportunity to expand your knowledge base into human biology, medicine and epidemiology, and to do exciting science in the major bioscience hub within the beautiful city of Adelaide. The SAHMRI is the brand new flagship facility for a major bioscience district between three local universities, and you will have access to world-class infrastructure and gain top class training from established scientists in multiple fields.
- Your duties include participation in the design of new studies, analysis of human and animal datasets, local and international collaboration, working with PhD students, writing manuscripts and grant applications, and attending international conferences.
- You will work with the Heart Health and Aboriginal Health themes at SAHMRI.
- PhD or equivalent degree.
- Programming experience and knowledge of computational algorithms.
- Proven capacity to work independently as well as part of a team, embracing cross-organisational collaboration.
- Excellent interpersonal skills with the ability to build constructive working relationships.
- Excellent written and verbal communication skills.
- Methodical with good attention to detail.
- A strong commitment to research excellence and innovation that translates into better health outcomes.
Optional but valued assets:
- Complex network analysis.
- Genomics, transcriptomics, proteomics or metabolomics.
- Epidemiology and clinical study design.
- High-throughput data visualization.
- Software design and production.
SAHMRI will provide the successful candidate with market competitive remuneration including access to excellent salary packaging.
For more information, contact:
Ville-Petteri Mäkinen, DSc (Tech)
EMBL Australia Group Leader, SAHMRI, Adelaide, South Australia
+61 881 284 054
To obtain a copy of the position description, go to www.sahmri.com
Please send your cover letter, CV and publication list, and three references to email@example.com with the subject "Big Data Postdoc". In addition, examples of your software and source code will make your application stronger.
Applications close 7 April 2014