Data scientist in diagnostic molecular pathology 80-100%

The unit of Molecular Pathology at the Department of Pathology and Molecular Pathology at the University Hospital Zurich, is a leading unit for developments in precision medicine including tumor genomics and multi-omics data integration. The diagnostic analyses include numerous modern omics-methods and cutting edge technologies: Whole genome sequencing, bulk RNA sequencing, methylation array, digital pathology, panel sequencing. Our scientists analyze the raw data of these assays to create diagnostic reports, develop new methods and support research projects.
Das Universitätsspital Zürich ist eines der grössten Spitäler in der Schweiz. Unsere über 8'600 Mitarbeitenden und rund 700 Auszubildende setzen sich täglich für das Wohl unserer Patient:innen ein.
Data scientist in diagnostic molecular pathology 80-100%
immediately or upon agreement, limited for 1 year, with the aim of prolonging
Your main tasks

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Independent analysis, quality control, and interpretation of NGS and multi-omics data in a diagnostic setting

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Development, validation, and implementation of bioinformatics pipelines for routine molecular diagnostics

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Immunogenomics analyses with clinically relevant interpretation

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Application of machine learning / AI methods to omics data, with emphasis on robustness and interpretability

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Translation of new methods into routine diagnostics, including documentation and validation

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Preparation of clinical reports in collaboration with pathologists and molecular biologists

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Support in training medical and laboratory staff in data interpretation and bioinformatics workflows
Your profile

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MSc or PhD in Bioinformatics, Computational Biology, Medical Informatics, or a related field

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Strong experience in NGS/omics data analysis in an applied setting

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Proficiency in Python and/or R (Bioconductor)

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Strong understanding of molecular biology and genetics, with the ability to interpret data in a biological and clinical context

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Solid understanding of statistics and machine learning

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Experience with workflow management systems (Nextflow, Snakemake) and containerization (Docker/Singularity)

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Excellent analytical, communication, and writing skills

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English required, German is an advantage
Preferred qualifications: experience in cancer genomics, immunogenomics, transcriptomics or epigenetics, metagenomics, AI-based image analysis, data management/structured reporting, integrative multi-omics, or work in a clinical/medical environment
Unsere Benefits
We offer an interdisciplinary position connecting interpretation and reporting of molecular diagnostic big data with clinical science at the Department of Pathology and Molecular Pathology, University Hospital Zurich within a strong collaborative framework including experts at other leading Swiss Institutions. In Zurich, you will be immersed in a dynamic, open and motivating scientific and academic environment. We are supported by intra- and extramural funding and are involved in several high-visibility national and international collaborations.
Universitätsspital Zürich
8091 Zürich