DATA & AI INTERN
Pubblicato il 03-09-2026 - Philogen in Milano
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, pull requests,