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Data & AI Intern

Pubblicato il 13-09-2026 - Philogen in Milano

About Philogen
Philogen S.p.A. is a biotechnology company dedicated to developing targeted products for the imaging and treatment of life-threatening diseases, with a strategic focus on oncology. Our mission is to translate cutting-edge scientific innovation into effective therapies that improve patients’ lives.

Position Overview
At Philogen, we are transforming core business processes into production-grade AI systems supporting clinical operations, R&D;, finance, and corporate functions in a regulated environment.
We are looking for a Data & AI Intern who will work one-to-one with an experienced Member of the Technical Staff in the Data & AI team. You will contribute to real projects from the beginning: integrating data sources, developing pipelines, modeling business information, and building tools that allow AI agents to work reliably with company data.
This six-month internship is intended as a potential pathway toward a full-time Member of the Technical Staff role.

What You Will Do
- Model business concepts and their connections in a shared ontology and knowledge layer.




- Build reusable skills and tools through which AI agents can query data, perform analyses, and generate reports.
- Develop and maintain Python pipelines that ingest data from APIs, spreadsheets, exports, and operational systems.
- Clean, validate, transform, aggregate, and reconcile data from different departments and sources.
- Support day-to-day data science activities, including data-quality analysis, reporting, statistical investigation, and process automation.
- Write tests, review code, document decisions, and contribute through a shared Git-based development workflow.
- Learn how to build graph-based data systems designed for AI agents

What We Are Looking For
- Strong Python programming skills and the ability to write structured, maintainable code in shared repos.
- Knowledge of SQL, relational databases, data structures, joins, aggregations, and data modeling.
- Experience with GitHub

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