Postdoc (gn*) (bio-) Statistician / Mathematician / Bioinformatician

We are seeking a (bio-)statistician/mathematician/bioinformatician to work in multinational, large-scale “-omics” projects aiming to identify molecular biomarkers predicting risk for brain diseases (such as Alzheimer’s, Parkinson’s disease, and amyotrophic lateral sclerosis). To this end, you will analyze genome (Illumina’s GSA array), genome-wide methylome (Illumina’s EPIC array), proteome (SomaScan), and transcriptome (RNA-Seq) data that have all been generated in the same ~6,000 individuals of the European Prospective Investigation on Cancer and Nutrition (EPIC) Study. You will implement and develop state-of-the-art scientific and statistical analysis techniques, in particular those based on machine learning, to develop integrated, multi-omics disease prediction and classification scores, and make use of the unique data resources available to our institute.

• Master’s degree (or higher) in (bio-)statistics, mathematics, bioinformatics, or a degree in related fields
• Proficiency in R
• Experience working within a UNIX/Linux environment
• Strong background in bioinformatics and biostatistics, including analysis of high-throughput data in at least one omics area (genomics, epigenomics, transcriptomics, or proteomics)
• Skills in at least one area of expertise of statistical methodology including survival analysis, statistical genetics, and/or machine learning
• Analytical skills
• Willingness to work in a team and good communication skills in spoken and written English

• A dynamic work environment with flexible working hours in which you may work in a self-dependent, autonomous way
• Work on competitive, international “big data” omics projects applying state-of-the-art scientific, statistical, predictive, and data integration techniques
• The possibility to develop and pursue your own scientific ideas
• A motivated multidisciplinary international team that helps and supports you in your tasks
• The possibility to obtain a Ph.D. (i.e., Dr. rer. nat. or Dr. rer. medic.) degree or habilitation
• Support for your academic career

Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference.