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SASanofi-Aventis Deutschland GmbH

Technical Expert for Automated R&D Lab Data Inventory(m/w/x)

Frankfurt am Main
VollzeitVor Ort
AI/ML

Designing and building a central data inventory for R&D lab data, integrating with Electronic Notebooks at a pharmaceutical company. Expertise in AWS Cloud, DevOps practices, and database technologies (SQL/NoSQL) required. Focus on automation for R&D data processes.

Anforderungen

  • Expertise in AWS Cloud technologies
  • Expertise in DevOps practices and tools (GitHub Actions, Terraform)
  • Expertise in database technologies (e.g., SQL, NoSQL) and data integration techniques
  • Proficiency in at least one programming language (e.g., Python, Java, R)
  • Experience with API development and system integration
  • Proficiency in RESTful API design and implementation
  • Strong ability to learn new subject areas independently and efficiently
  • Strong communication skills with proven ability to effectively communicate with both technical and non-technical stakeholders at all levels of the organization
  • Experience with common Agile tools (e.g., Jira, Confluence)
  • Excellent team working skills with ability to collaborate effectively in cross-functional, international teams
  • Knowledge of laboratory processes and workflows in research and early development environments
  • Strong business analysis skills including requirements elicitation, documentation, and management
  • Ability to translate complex scientific requirements into technical specifications
  • Experience with Benchling, Signals (Revvity/PerkinElmer), Other ELN systems
  • Experience developing products with Agile methodologies a must
  • Master's or Bachelor's Degree in relevant field

Aufgaben

  • Design and build a central Lab Data Inventory for R&D lab data
  • Develop a comprehensive metadata schema for diverse R&D data types
  • Architect a scalable repository structure for current and future data needs
  • Implement governance protocols for data quality, security, and compliance
  • Design and build integration with Electronic Notebooks (ELNs)
  • Develop robust APIs and data pipelines for data flow between ELNs and the central catalog
  • Ensure data consistency and integrity across multiple platforms
  • Implement automated data extraction and loading (ETL) processes
  • Implement data discovery and analytics capabilities within the central catalog
  • Design and integrate search functionalities for efficient data retrieval
  • Develop dashboards and reporting tools for data visualization and analysis
  • Develop and maintain documentation for the Lab Data Inventory and integration processes
  • Create user guides, system architecture diagrams, and API documentation
  • Establish and document best practices for data management and integration
  • Ensure compliance with industry standards like GxP and GDPR
  • Develop and maintain documentation for GxP validation of systems
  • Collaborate with regulatory and compliance teams on requirements
  • Implement audit trails and data governance practices aligned with GxP
  • Implement data protection and access control measures
  • Collaborate with cross-functional teams to understand data requirements
  • Conduct regular stakeholder meetings to gather requirements and feedback
  • Translate scientific requirements into technical specifications
  • Continuously evaluate and implement emerging technologies in lab data management
  • Stay informed about advancements in data architecture and integration technologies
  • Propose and lead pilots for innovative data management solutions

Ausbildung

  • Bachelor-AbschlussODER
  • Master-Abschluss

Sprachen

  • Englischverhandlungssicher
  • DeutschGrundkenntnisse

Tools & Technologien

  • AWS
  • GitHub Actions
  • Terraform
  • SQL
  • NoSQL
  • Python
  • Java
  • R
  • Jira
  • Confluence
  • Benchling
  • Signals
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