Data & AI Intern: Build AI Pipelines & Ontologies

Philogen; Milano; In loco; EUR 11.000 - 18.000; Tempo pieno

Descrizione del lavoro

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, automated testing, and collaborative software development.
• A foundation in statistics, data analysis, and the interpretation of imperfect real‑world datasets.
• Familiarity with APIs, structured data formats, and common data‑ingestion patterns.
• Practical understanding of generative AI, including model APIs, agents, tool use, structured outputs, RAG, and evaluation.
• High daily engagement with modern AI development tools such as Claude Code and Codex.
• Strong problem‑solving skills and a builder mindset.
• Ability to communicate with non‑technical stakeholders and translate their needs into practical technical solutions.
• Strong written and spoken English.

Nice to Have

• Knowledge of healthcare, biotechnology, pharmaceuticals, clinical trials, or regulated environments.
• Familiarity with knowledge graphs, ontologies, network science, GraphRAG, or retrieval‑augmented generation.
• Frontend development experience, particularly with TypeScript and React.
• Experience working with data processes spanning several departments or enterprise systems.
• Familiarity with accounting, procurement, invoicing, or financial reporting.
• Experience with analytical databases, columnar data processing, or larger data workflows.
• Evidence of having built and completed a technical project outside standard coursework.

Education

• 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.
• Strong academic background; international study or project experience.

What We Offer

• Six‑month internship, open to both curricular and extracurricular candidates.
• One‑to‑one mentorship from a Member of the Technical Staff.
• Direct exposure to leadership and high‑impact projects across the organization.
• The opportunity to work on applied AI systems across clinical, scientific, operational, and corporate workflows.
• A potential pathway toward a full‑time Member of the Technical Staff position.

Job Location

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.
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.