CareerPlan

Werkstudent Analytics – Digital Health (all genders)

MünchenFull-time2026-11-06 → 2026-11-10
Hybrid

Core

Support the development of digital assistance systems for operating room and scheduling management in hospitals, focusing on analytics, forecasting models, and software customization.

Role type

Student analytics engineer (healthcare)

Builds

Digital assistance systems for hospitals

Domain

Healthcare / Digital Health

Deliverable

production ML models

Required skills

Data analysis, Python, TypeScript, Machine Learning, LLMs, Prompt Engineering, Software development

Preferred skills

Experience with forecasting models, LLMs, Prompt Engineering, AI agents

Technologies

Python, TypeScript

Responsibilities

Support analytics (evaluations, KPIs, reports), collaborate on ML-based forecasting models (e.g., surgery duration), analyze and prepare clinical data, contribute to software development and customization, create reports and documentation

Seniority

Student