Data Scientist (La Unión)

Data Scientist (La Unión)

16 sep
|
Lecturio
|
La Unión

16 sep

Lecturio

La Unión

Freelance
European Union
Data/IT

About Us

Lecturio is a leading international medical and nursing e-learning platform, serving students as well as educational institutions. Lecturio’s mission is to address the severe shortage of healthcare providers around the world through increasing access to quality medical education. Using state-of-the-art technology and learning science, Lecturio has grown from its headquarters in Leipzig, Germany, where it was founded in 2008, to become a integral leading digital teaching engine for health professions education.
Data Scientist (all genders)

We are looking for a Data Scientist with strong AI and knowledge structuring skills. Your mission is to automate the creation of structured medical knowledge, leveraging your background in data science and computational methods. You will use Large Language Models (LLMs) to extract structured educational data from vast amounts of unstructured content, build the Knowledge Graph that powers adaptive learning pathways for medical students and lead our efforts to evaluate our AI-powered data products.




Key Responsibilities
- Context/ Prompt Engineering: Design and iterate on complex LLM prompts (e.g., Chain-of-Thought, few-shot learning) to reliably extract defined entities (e.g., Symptoms, Anatomy, Drugs) and learning relationships from unstructured medical textbooks and transcripts.
- Graph Construction & Schema Definition: You will define the semantic schema and populate the chosen Graph Database (e.g., Neo4j/Cypher) to connect extracted medical facts directly to learning objectives (e.g., USMLE Step 1 goals).
- Validation Pipelines: Design and implement automated "judge" loops where an LLM or other automated checks evaluate the accuracy and logical consistency of its own extracted graph against gold-standard medical guidelines and our internal knowledge base.
- Evaluating AI features: Designing evaluation frameworks to assess an agent's performance, safety, and efficiency. This can involve m

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