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Data & AI Intern

Pubblicato il 01-08-2026 - Philogen in Italia

pstrong

About Philogen /strong /pp

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. /ppbr/ppstrong

Position Overview /strong /pp

At Philogen, we are transforming core business processes into production-grade AI systems supporting clinical operations, RD, finance, and corporate functions in a regulated environment. /pp

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. /pp

This six-month internship is intended as a potential pathway toward a full-time Member of the Technical Staff role. /ppbr/ppstrong

What You Will Do /strong /pulli

Model business concepts and their connections in a shared ontology and knowledge layer. /lili

Build reusable skills and tools through which AI agents can query data, perform analyses, and generate reports. /lili

Develop and maintain Python pipelines that ingest data from APIs, spreadsheets, exports, and operational systems. /lili

Clean, validate, transform, aggregate, and reconcile data from different departments and sources. /lili

Support day-to-day data science activities, including data-quality analysis, reporting, statistical investigation, and process automation. /lili

Write tests, review code, document decisions, and contribute through a shared Git-based development workflow. /lili

Learn how to build graph-based data systems designed for AI agents /li /ulpbr/ppstrong





What We Are Looking For /strong /pulli

Strong Python programming skills and the ability to write structured, maintainable code in shared repos. /lili

Knowledge of SQL, relational databases, data structures, joins, aggregations, and data modeling. /lili

Experience with Git

Hub, pull requests, automated testing, and collaborative software development. /liliA foundation in statistics, data analysis, and the interpretation of imperfect real-world datasets. /lili

Familiarity with APIs, structured data formats, and common data-ingestion patterns. /lili

Practical understanding of generative AI, including model APIs, agents, tool use, structured outputs, RAG, and evaluation. /lili

High daily engagement with modern AI development tools such as Claude Code and Codex. /lili

Strong problem-solving skills and a builder mindset. /lili

Ability to communicate with non-technical stakeholders and translate their needs into practical technical solutions. /lili

Strong written and spoken English. /li /ulpbr/ppstrong

Nice to Have /strong /pulli

Knowledge of healthcare, biotechnology, pharmaceuticals, clinical trials, or regulated environments. /lili

Familiarity with knowledge graphs, ontologies, network science, GraphRAG, or retrieval-augmented generation. /lili

Frontend development experience, particularly with Type

Script and React. /lili

Experience working with data processes spanning several departments or enterprise systems.



/lili

Familiarity with accounting, procurement, invoicing, or financial reporting. /lili

Experience with analytical databases, columnar data processing, or larger data workflows. /lili

Evidence of having built and completed a technical project outside standard coursework. /li /ulpbr/ppstrong

Education /strong /pulli

Currently or recently completed Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics, Bioinformatics, or a related quantitative field.

Please specify your final degree grade in your CV. /lili

Strong academic background; international study or project experience. /li /ulpbr/ppstrong

What We Offer /strong /pulli

Six-month internship, open to both curricular and extracurricular candidates. /lili€1,500 net per month. /lili

One-to-one mentorship from a Member of the Technical Staff. /lili

Direct exposure to leadership and high-impact projects across the organization. /lili

The opportunity to work on applied AI systems across clinical, scientific, operational, and corporate workflows. /liliA potential pathway toward a full-time Member of the Technical Staff position. /li /ulpbr/ppstrong

Job Location /strong /pp

Milan, Italy. /ppbr/ppem

We invite interested candidates to submit their applications expressly authorizing the processing of personal data in accordance with Legislative Decree 196/2003.

Our recruitment adheres to the provisions of Legislative Decree 198/2006, and we welcome applications from candidates of any gender orientation or expression, sexual orientation, age, ethnicity, or religious belief. /em /ppbr/ppem

In compliance with Directive (EU) 2023/970 and Italian Legislative Decree No. 96 of 7 May 2026, this job advertisement has been drafted using gender-neutral criteria. /em /p

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