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PhD position or Postdoc in Genetic Data Analysis
We are seeking a highly motivated, talented individual. There is one vacant position, which can either be filled by a PhD candidate or by a Postdoc. You will be working with large genetic and genomic ...
- De Boelelaan, Amsterdam, Noord-Holland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 40 uur
- € 2222 - € 2840 per maand
We are seeking a highly motivated, talented individual. There is one vacant position, which can either be filled by a PhD candidate or by a Postdoc. You will be working with large genetic and genomic datasets, with information on brain related traits (e.g. cognition, schizophrenia, autism, mental retardation, neurodegenerative disorders), and subsequent bioinformatics annotation. We are looking for a candidate proficient in statistics and statistical programming, and preferably an understanding of principles of molecular genetics, and knowledge of e.g. chromatin interactions, gene expression, and epigenetics. Practical experience in the analysis of genomics data (e.g. expression data, GWAS, WGS, WES) is a pré.
For the PhD position: Minimum qualifications include an MSc. degree in any of the following fields: bioinformatics, statistics, medical statistics, statistical genetics, computer programming, computational biology or related quantitative/computational field.
For the Postdoc position we require a PhD in any of the above fields and demonstrable experience in genetic data analysis.
In addition we require a good ability to write and read English, experience working with large datasets, strong computer programming skills, and experience with the R statistical language and working in a UNIX environment. Wet lab experience is not necessary.
The initial appointment will be for a period of 1 year. After satisfactory evaluation of the initial appointment, it will be extended for a total duration of 4 years (PhD) or 3 years (Postdoc). Information about our excellent fringe benefits of employment can be found at http://www.workingatvu.nl and include for example:
• Remuneration of 8,3% end-of-year bonus and 8% holiday allowance;
• Solid pension scheme (ABP);
• A minimum of 29 holidays in case of full-time employment;
The salary will be in accordance with university regulations for academic personnel, and ranges from a minimum of € 2.222,- gross per month (salary scale 85) up to a maximum of € 2.840,- gross per month based on a fulltime employment (PhD student) or between
€ 3.111,- and € 4.757,- (salaryscale 10/11, depending on experience) for a Postdoc.
For additional information please contact:
Prof.dr. D. Posthuma
phone +31 (0)20 59 82823
web: http://www.ctglab.nl and http://www.cncr.nl
You are requested to write a letter in which you describe your abilities and motivation, accompanied by your curriculum vitae and the names of two scientific referees. Please clarify whether you are applying as a postdoc or as a PhD student, Applications (mention the vacancy number in the email header) should be sent by e-mail before October 26, 2017 to:
Iris Hesp, VU University Amsterdam
Faculty of Earth and Life Sciences, CNCR
Subject line: Posthuma (vacancy nr 17267, Postdoc or PhD)
Any other correspondence in response to this advertisement will not be dealt with.
Vrije Universiteit Amsterdam (VU) is a leading, innovative and growing university that is at the heart of society and actively contributes to new developments in teaching and research. Our university has ten faculties, and provides work for over 4,500 staff and scientific education for more than 23,000 students.
The Complex Trait Genetics lab (http://www.ctglab.nl) at the Center for Neurogenomics and Cognitive Research in Amsterdam (see http://www.cncr.nl) is seeking applicants for a PhD or Postdoc position in Neuropsychiatric Genetics/Bioinformatics.
Research at the department of Complex Trait Genetics focuses on identifying the genetic and environmental causes of individual differences in human traits related to behavior, cognition and mental and physical health. We integrate knowledge from different fields (biology, genetics, neuroimaging, bioinformatics) and use and develop statistical and bioinformatics tools to analyze genome-wide data sets for complex traits.