Data Scientist (HealthTech)

Short Description

Want to work on AI solutions that actually matter? For more than 15 years, a platform has been delivering high-quality medical education to students, universities, and healthcare professionals worldwide. Their mission is to make specialized knowledge accessible through innovative, technology-driven learning solutions. Your Role: As a Data Scientist, you will play a key role in shaping AI-driven educational products by transforming unstructured medical content into structured, intelligent knowledge systems. 

Description

Your responsibilities will include:

• Designing and optimizing LLM prompts;
• Building and maintaining knowledge graphs;
• Developing ontologies and modeling learning graphs;
• Creating automated validation pipelines to assess data accuracy and logical consistency;
• Designing evaluation frameworks for AI agents, measuring performance, reliability, and reasoning quality;
• Collaborating with medical experts to validate extracted data;
• Working closely with engineering teams to integrate knowledge graph APIs into the core platform;
• Providing methodological guidance on model training, ontology design, and AI-driven data processing.

Requirements

• 4+ years of experience as a Data Scientist, Data Engineer, or similar role;
• Strong proficiency in Python and sound software engineering practices;
• Hands-on experience with Large Language Models (LLMs) and their APIs;
• Strong understanding of structured data and its importance for machine learning;
• Motivation to learn and work with graph databases;
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices;
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related field;
• Proven ability to deliver scalable, impactful solutions.

• Familiarity with medical terminologies;
• Interest in pedagogy, learning science, or adaptive learning systems;
• Experience with relational or graph-based data modelling. 

Offer

• Remote or hybrid working model (within Bulgaria);
• 25 days of paid annual leave;
• Stable, long-term career opportunity;
• Collaborative and innovation-driven environment;
• Free access to the full platform;
• Structured onboarding and continuous professional development;
• Additional health insurance;
• Multisport card.