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Technical Lead - Genome of Switzerland (GoS)
emploi.epfl.ch —Lausanne, VD
Knowledge of data security, access control and data governance principles. Coordinate interfaces between sequencing platforms, analytical environments, data…
7 h
Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)
HAYA Therapeutics —Epalinges, VD
Narrative Construction: Synthesize data from multiple independent datasets to construct clear, biologically meaningful narratives for technical and non-…
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Technical Lead - Genome of Switzerland (GoS)

emploi.epfl.ch -
Lausanne, VD

Soumettre votre candidature

Détails de l'emploi

CDI
Il y a 7 heures

Qualifications

Français
Gestion du personnel
Niveau Doctorat
Anglais
Niveau Master
Bash
Esprit d'analyse
Linux
Compétences en communication
Python

Description complète du poste

Mission

The Technical Lead / Genomic Data Engineer is responsible for the design, implementation, operation and continuous improvement of the technical infrastructure supporting the Genome of Switzerland programme. The position ensures the efficient, secure and scalable processing, management and delivery of genomic data and analytical resources.

Main duties and responsibilities

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.

Profile

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.

We offer

A stimulating and international working environment
Competitive salary and excellent workking conditions

Informations

Contract Start Date : As soon as possible

Activity Rate : 100.00

Contract Type: CDI

Reference: 2369

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python emplois - vaud

Technical Lead - Genome of Switzerland (GoS)

P2625 - Data Platform Engineer - Full Stack

Qualification Engineer

P2621 - (Senior) Pharmacometrician

AI Research Scientist

Machine Learning Engineer

Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)

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