Data Scientist (all genders)
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
About Us
Lecturio is a leading international medical and nursing e-learning platform serving students as well as educational institutions. Lecturios 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 global 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 agents performance safety and efficiency. This can involve measuring task completion success rates the quality of the agents reasoning steps and its ability to recover from errors.
- Collaboration: Work with medical experts to validate extraction accuracy and partner with the platform engineering team to integrate the resulting Knowledge Graph API into our core product features.
Your profile
- Python Proficiency: You write clean scalable and modular code understanding software engineering principles beyond one-off Jupyter Notebooks.
- LLM Experience: You have hands-on experience working with APIs from leading LLM providers.
- Structured Data Mindset: You possess a strong understanding of why data structures are critical for machine consumption as opposed to relying on unstructured text output.
- Knowledge of or Willingness to Learn Graph DBs: You may not know Neo4j or Cypher yet but you demonstrate exceptional enthusiasm and aptitude to master graph database technologies within your first month.
- Cloud & MLOps Familiarity: Knowledge of cloud platforms (AWS Azure GCP) and MLOps practices (CI/CD pipelines containerization with Docker monitoring tools) for deploying and productionizing AI applications.
- A Bachelors degree in Mathematics Statistics Computer Science Economics or a similar program.
- Demonstrated impact and scope in your previous roles (e.g. creating scalable solutions influencing product direction etc.).
Nice-to-Haves:
- Familiarity with medical terminologies and taxonomies (MeSH SNOMED ICD-10).
- A proven interest in Pedagogy Learning Science or Adaptive Learning Systems.
- Previous experience defining or modeling relational data schemas.
What we offer
- Flexible working hours and remote work are a given to enable you to achieve a good work-life balance.
- You are part of a highly engaged motivated and professional Development team.
- Your ideas are heard: We value employees who drive change with creativity. Because only with a diverse team and fresh ideas can we make an impact!
- A comprehensive structured HR and professional onboarding process with cross- departmental introductions and feedback sessions.
- Take advantage of our complete Lecturio training platform for free for your personal and professional development.
- Free access to coaching sessions and other mental health benefits.
Location: Remote (located in Europe)
Employment Type: Full-time
We look forward to your application.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
