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Position: Post-Doc Position: Epidemiologist, Data Scientist
Institution: Universitäts-Kinderspital beider Basel
Location: Basel, Switzerland
Duties: Classical multivariable statistical analytical work; Collaborate and work independently, with our team to develop and execute strategies for genetic data integration and modelling/prediction; Write code to execute data analysis, visualize and provide interpretation and context to results of analysis; Implement data quality controls; Writing of manuscripts
Requirements: PhD or MD or equivalent experience in biostatistics or related field (statistical genetics, bioinformatics, computational biology, machine learning, data science); Ideally experience in human genetics or molecular epidemiology, with an understanding of genomic approaches, technologies, and analytics e.g. GWAS/PheWAS; Ideally experience with diverse analysis methods and tools, including Mendelian randomization and heritability analysis; Ideally experience in scientific computing programming (Python, R, PLINK, Linux, Matlab, Stata...)
   
Text: Post-Doc Position: Epidemiologist, Data Scientist 50% Eintrittsdatum: per 1.Oktober 2019 Abteilung: Paediatric Respiratory Medicine Research Group of Prof. Urs Frey, MD, PhD We are looking for an epidemiologist/data scientist to join our interdisciplinary team (clinicians, epidemiologists, physicists, chemists) to support the analysis of an existing large birth cohort dataset (BILD birth cohort: https://www.bild-cohort.ch) We are investigating the impact of genetic and environmental factors (air pollution) on lung development and asthma in infants and young children. Hauptaufgaben: Classical multivariable statistical analytical work Collaborate and work independently, with our team to develop and execute strategies for genetic data integration and modelling/prediction Write code to execute data analysis, visualize and provide interpretation and context to results of analysis Implement data quality controls Writing of manuscripts Anforderungen: PhD or MD or equivalent experience in biostatistics or related field (statistical genetics, bioinformatics, computational biology, machine learning, data science) Ideally experience in human genetics or molecular epidemiology, with an understanding of genomic approaches, technologies, and analytics e.g. GWAS/ PheWAS. Ideally experience with diverse analysis methods and tools, including Mendelian randomization and heritability analysis Ideally experience in scientific computing programming (Python, R, PLINK, Linux, Matlab, Stata...) Weitere Auskünfte: Frau Eva-Maria Häusler, University Children’s Hospital, UKBB, Basel, Tel: 061 704 19 00 Wir freuen uns auf Ihre Online-Bewerbung! Bitte nehmen Sie sich einen kurzen Moment Zeit und füllen Sie die Felder auf der nächsten Seite aus. Halten Sie dazu Ihre vollständigen Bewerbungsunterlagen elektronisch bereit. Bei allgemeinen Fragen zur Stelle oder zum Bewerbungsprozess hilft Ihnen unser HR Team, Telefon 41 61 704 12 32 gerne weiter.
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