About the job

As a Technical Expert for Automated R&D Lab Data Inventory, you will play a crucial role in revolutionizing our R&D laboratories. Your expertise will drive the design and implementation of a centralized Lab Data Inventory, enhancing data accessibility, integration, and utilization across our global R&D network while ensuring full GxP compliance. This role serves as a critical bridge between laboratory scientists, researchers, and technology teams, focusing on the automation and digitalization of lab equipment and processes. The ideal candidate will combine deep knowledge of laboratory operations with strong business analysis capabilities to enable seamless integration of digital solutions in our research ecosystem.

This role provides a unique opportunity to work into a dynamic team, fully empowered to propose and implement innovative ideas enabling and leveraging AI, ML concepts. This role will also provide hands-on experience on collaborating with diverse vendors and major internal & external stakeholders.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main responsibilities

• Design and build a central Lab Data Inventory (repository and metadata structure) for R&D lab data in collaboration with the Digital Data Product team.

• Develop a comprehensive metadata schema that accurately represents diverse R&D data types

• Architect a scalable and flexible repository structure to accommodate current and future data needs

• Implement governance protocols to ensure data quality, security, and compliance

• Design and build integration with Electronic Notebooks (ELNs), including Benchling, Signal, and iLAB

• Develop robust APIs and data pipelines for seamless 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 (GxP, FAIR data principles, GDPR, 21 CFR Part 11, etc.)

• Ensure all data repository designs and implementations meet GxP compliance standards

• Develop and maintain documentation required for GxP validation of systems

• Collaborate with regulatory and compliance teams to address regulatory requirements

• Implement appropriate audit trails and data governance practices aligned with GxP requirements

• Implement appropriate data protection and access control measures

• Collaborate with cross-functional teams to understand diverse data requirements and use cases

• Conduct regular stakeholder meetings to gather requirements and feedback

• Translate scientific requirements into technical specifications

• Continuously evaluate and implement emerging technologies and best practices in lab data management

• Stay informed about advancements in data architecture, lab informatics, and integration technologies

• Propose and lead pilots for innovative data management solutions

About you

Experience

• 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

Soft and technical Skills

• 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 Benchling, Signals (Revvity/PerkinElmer), Other ELN systems

• Experience developing products with Agile methodologies a must

Education

• Master's or Bachelor's Degree in relevant field

Languages

• Fluent in English (written and verbal) for effective international collaboration

• German language skills are nice to have

Why choose us?

• Join the digital force behind Sanofi’s AI-powered pipeline, where Expert, Generative, and Snackable AI accelerate the discovery, development and delivery of breakthrough treatments to patients.

• Help reduce time from discovery to commercialization, delivering life-changing medicines to patients faster than ever.

• Drive meaningful change at scale, helping reduce time from discovery to commercialization and bringing innovative therapies to patients faster.

• Enjoy daily opportunities to collaborate and share knowledge in an environment based on open dialogue and mutual respect.