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Pierre Fabre

Allogeneic cell therapies development and commercialization

Data Project Manager Intern

Data ManagementConfirmed live in the last 24 hours
Internship · Winter 2027Lavaur, FranceNo salary listed

About the Job

Requirements

  • Be a student in the fourth or fifth year of an engineering school or business school, specializing in Data Science, Computer Science, or Statistics, or have professional experience-based knowledge of data analysis and processing.
  • Ideally have preliminary experience in logistics or data.
  • Have proficiency in Python for data manipulation, model prototyping, and automation scripts.
  • Be able to use SQL to manipulate, query, and qualify data from systems such as ERP, WMS, and product repositories.
  • Have English proficiency at B2 level.

Responsibilities

  • Lead cross-functional workstreams concerning data governance and system architecture.
  • Analyze business needs and existing data, including trends and meaningful insights.
  • Design and prototype generative and agentic AI use cases for Supply Chain, such as autonomous agents for transport-flow optimization, data copilots for demand forecasting, operational reporting automation, and AI assistants for customer-service teams.
  • Collaborate with stakeholders to understand data visualization requirements and business practices.
  • Work on architecture and technical specifications for data and AI development.
  • Design and develop interactive dashboards and applications, or support business teams responsible for development to ensure deliverable consistency and quality.
  • Experiment with agentic AI components, including agent orchestration, retrieval-augmented generation, and prompt engineering, and help improve the quality of the data feeding them under the supervision of a Senior Data Project Manager and in compliance with group data governance and security rules.
  • Write associated technical documentation and training materials.
  • Co-facilitate training for relevant business teams.
  • Support key phases of the ARGAN project and other workstreams that assist operational teams.
  • Travel to the Muret and Castres sites as needed.

Desired Qualifications

  • Experience with data processing and analysis tools such as Power BI, Tableau, or Alteryx.
  • Previous experience with agentic AI and frameworks such as LangChain or LangGraph, for example building an agent that queries a database, orchestrates multiple tasks, or automates a business process.
  • Knowledge of machine learning and large language models, including prompt engineering, retrieval-augmented generation, and lightweight fine-tuning.
  • Knowledge of TypeScript or JavaScript, particularly for integrating an agent or data copilot into a business-facing interface or web application.
  • Openness to Rust or Go, particularly for performance and scalability of multi-agent architectures.
  • An entrepreneurial approach to applied AI and proposing new use cases, while recognizing that agentic AI work is supervised and approved by a Senior Data Project Manager and does not have direct production-deployment autonomy.

About the Company

Pierre Fabre

Allogeneic cell therapies development and commercialization

Pierre Fabre Pharmaceuticals (US) develops and commercializes allogeneic cell therapies for oncology and rare diseases. It focuses on bringing next-generation, donor-derived cell therapies to patients with high unmet medical needs and deepens partnerships with biotech companies to advance products through clinical manufacturing and distribution in the US.

Company size
5,001-10,000
Company stage
Seed
Total funding
$13.8M
Headquarters
Toulouse, France
Founded
1951

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