MS/PhD Student Intern (Non-thesis) on Agent Based Systems for clinical trials [2602-142-BAI]

NEC Laboratories Europe research and develop cutting-edge technology to create innovative social solutions. Researchers choose their projects, lead scientific discovery and are consistently published in top, peer-reviewed scientific papers. NEC Laboratories Europe technology promotes NEC Group solutions for a better society in the fields of digital health, communication infrastructure, safer cities and public services. For more information visit

NEC Laboratories Europe is looking for a

MS/PhD Student Intern (Non-thesis)on Agent Based Systems for clinical trials

(ref: -BAI)

At NEC we are committedto leveraging state-of-the‑art technology to address global challenges. We believe that the next era of positive impact lies in the thoughtful and human‑centric application of Generative AI.

Our team is composed of passionate innovators and researchers who strive for making a positive social impact. If you’re looking to do meaningful work where you can see the direct results of your efforts, we’d love to meet you.

Your key responsibilities are

• Developing language‑based agents for simulating clinical trial workflows
• Integrating machine learning models, including large language models, into simulation frameworks
• Analyze agent outputs and interactions to refine models and improve decision‑making
• Collaborating with clinical and technical teams to refine system design
• Documenting methods and findings for internal use or potential publication

We offer a stimulating and collaborative work environment where your ideas are valued and your skills are nurtured. The lab’s working language is English.

Come join us and help shape a future where advanced AI technologies make a genuinely positive difference in people’s lives!

Your key responsibilities are

• Access and work on the HUS Acamedic platform;
• Perform statistical analysis on different modalities: omics, questionnaire and other types of biological measurements;
• Apply NEC’s proprietary algorithm to develop a predictive model for recovery of Long Covid patients, using multimodal information;
• Implement an Explainability layer for interpreting the results and increase adoption by clinical users;
• Collaborating with clinical and technical teams in the consortium to validate the findings.

Required skills and experience

• Proficient in Python
• Understanding of LLMs and their applications
• Experience in building multi‑agent AI systems and orchestration frameworks
• Experience in LLM frameworks such as LangGraph, MCP, etc.
• Experience in building LLM‑powered agents using OpenAI APIs (e.g., GPT‑4), Gemini, Llama, etc.
• Interest in clinical trials, healthcare, or life sciences
• Good communication skills and ability to collaborate across interdisciplinary teams

Preferred/optional skills and experience

• Python ecosystems such as FastAPI, Streamlit
• Familiarity with modelling, simulation, or data analysis techniques in complex systems
• Know‑how in responsible AI and explainable practices and tools (fairness metrics, AI testing frameworks, LIME, SHAP etc)
• Early hands‑on experience with LLM agent‑based systems
• Work in a professional industrial environment
• Opportunity to publish in conferences and journals
• Attractive city of Heidelberg and its surrounding
• Downtown, nearby shops and restaurants
• Free coffee/tea/water, and fruits

Preferred starting date

Any time starting from 1 April 2026

Duration

4‑6 months

Please send us your resume and a brief statement on your interest to computing and research by 20 March 2026, via the following webpage: with reference to -BAI).

Please note: we can only accept applications via NEC portal not via direct application over Linkedin.