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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries

Define and maintain the technical roadmap supporting the Genome of Switzerland programme., • Develop, maintain and optimize genomic data processing pipelines and analytical workflows., • Ensure the secure ingestion, storage, organization, traceability and delivery of genomic datasets and associated metadata., • Oversee quality control procedures throughout the data generation and processing workflow., • Contribute to the automation, reproducibility and scalability of analytical processes and computational infrastructures., • Coordinate interfaces between sequencing platforms, analytical environments, data repositories and data-sharing infrastructures., • Support the integration, harmonization and preparation of genomic datasets for national and international initiatives, including Genome of Europe and controlled-access repositories., • Contribute to the implementation of data governance, security, access-control and compliance procedures., • Maintain technical documentation, workflow specifications and operational procedures., • Provide technical expertise and support to project scientists, bioinformaticians and collaborating institutions., • Evaluate, deploy and maintain emerging technologies, software tools and computational infrastructures relevant to large-scale genomics., • Contribute to technical reporting, programme deliverables and stakeholder presentations

MSc or PhD in bioinformatics, computational biology, computer science, data engineering or a related field., • Experience designing, deploying and operating large-scale genomic or biomedical data processing infrastructures., • Strong programming skills (Python, Bash and/or similar languages)., • Experience with Linux environments, workflow management systems, containerization technologies and cloud or high-performance computing infrastructures., • Familiarity with genomic data formats, sequencing technologies and genomic analysis workflows., • Experience implementing reproducible and automated analytical pipelines., • Knowledge of data security, access control and data governance principles., • Strong problem-solving, documentation and communication skills., • Ability to work effectively in multidisciplinary and multi-institutional environments., • Familiarity with the Genome of Switzerland project a strong asset, • Excellent command of English; knowledge of French is an asset

A stimulating and international working environment