Our work focusses on developing statistical methods for large-scale medical genomic data. We have recently derived new models and implemented these in fast algorithms to determine the number of genes and the types of genomic regions underlying common complex disease risk (https://www.medrxiv.org/content/10.1101/2020.09.04.20188433v1), and to model the genetic basis of the age-at-symptom onset (https://www.medrxiv.org/content/10.1101/2020.09.04.20188441v1). These models are implemented in publicly available software written in C++, representing one of the fastest Bayesian penalised regression frameworks available to date (https://github.com/medical-genomics-group/hydra).
We offer multiple possible projects related to these topics and the successful candidates may also shape their own research direction. While work will focus on developing statistical approaches that enable new questions to be addressed in existing data, we have multiple ongoing collaborations with groups around the world enabling a range of potential applications from the genomic basis of common complex diseases, the genetics of psychiatric disorders, the genetics of ageing, genetic and environmental risk factors in pregnancy, to animal breeding.
We are seeking excellent, highly-motivated, enthusiastic individuals with good communication skills to join our growing team. The group has just moved to IST Austria and is funded for the next four years by an SNSF Eccellenza Grant, as well as core institute funding. We will grow to three postdoctoral researchers, and four PhD students. Multiple opportunities are available for postdoctoral researchers to obtain their own funding and you will be supported to apply for these fellowships. Successful candidates will be those with a work ethic and focus required to use this postdoc as a stepping-stone toward an independent research position.
The postdoctoral researcher should have:
- a PhD in either statistics, applied mathematics, computer science, or genomics, completed within the last five years
- programming skills in C++ are a necessity
- high-level understanding of statistics – the ability to derive models from first principles is a necessity
- a background in genetics/genomics is not required, but an eagerness to learn new skills is
- a proven track record on an internationally competitive scale with publications in well-respected venues
The position is ideal for those with a statistics, applied mathematics, or computer science background who are looking to change field to work on interesting statistical questions, with a view toward important applications in medical research.
We offer excellent working conditions in a highly international and interdisciplinary research environment (https://ist.ac.at). In 2019 IST Austria was ranked 3rd among the world’s best research institutions in the Nature normalized Index. Since opening its doors just ten years ago, the Institute of Science and Technology Austria (IST Austria) has grown to support 700 staff, 142 PhD students and more than 50 research groups. Located on the outskirts of Vienna, IST Austria’s strength is in the absence of departments, which is intended to foster a collaborative culture where life scientists team up with physicists, computer scientists and mathematicians.
3,500 EURO to 4,000 EURO gross/month, depending upon education, qualification and work experience.
The positions will remain open until suitable candidates have been found. Fluency in both written and spoken English are the only language requirements. To make an application, please send a single pdf document by email to firstname.lastname@example.org containing the following:
- a 1 page motivation letter
- a CV
- a publication list
- a 2 page overview of your previous research, paying particular attention to how your skills are applicable/transferrable.
- contact details of three academic references
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Tagged as: Computer Science, Life Sciences, Mathematics