Data Scientist @Lecturio GmbH

[Hiring] Data Scientist @Lecturio GmbH

Today - Lecturio GmbH is hiring a remote Data Scientist. πŸ’Έ Salary: unspecified πŸ“Location: CET (UTC+1), GMT (UTC+0), EET (UTC+2), EAT (UTC+3), NET (UTC+4), PLT (UTC+5), UTC-2, CAT (UTC-1)

Role Description

We are looking for a Data Scientist with strong analytical, research, and scientific reasoning skills. Your mission is to establish rigorous methodologies for structuring medical education knowledge, analyzing complex datasets, and testing educational hypotheses. Leveraging your background in data science, statistical analysis, and applied research, you will formulate hypotheses, design validation frameworks, and evaluate AI-driven educational products with scientific rigor.

Key Responsibilities

  • Hypothesis Testing & Research Methodology:
    • Formulate testable hypotheses regarding educational structures, conceptual relationships, and learning outcomes.
    • Design structured experiments to evaluate them rigorously.
  • Data Modeling & Semantic Mapping:
    • Analyze domain data to determine optimal data structures.
    • Define semantic schemas and map complex medical content into structured knowledge representations.
  • Statistical Evaluation & Validation Frameworks:
    • Design validation methodologies, metrics, and quality benchmarks.
    • Systematically measure the accuracy, logical consistency, and statistical validity of structured knowledge models against gold-standard medical guidelines.
  • Performance Analysis & Controlling:
    • Develop measurable indicators and control mechanisms to evaluate AI feature performance, reasoning quality, and failure modes across different environments.
  • Collaboration:
    • Work with medical experts to validate extraction accuracy.
    • Partner with the platform engineering team to integrate the resulting Knowledge Graph API into our core product features.

Qualifications

  • Strong background in statistical analysis, experimental design, and quantitative evaluation techniques.
  • Proven ability to analyze unstructured problems, perform systematic literature or data research, and derive actionable data-driven insights.
  • Strong understanding of why data structures are critical for machine consumption.
  • Exceptional enthusiasm and aptitude to master graph database technologies within your first months.
  • Proficient in Python for data analysis, statistical computing, and rapid proof-of-concept validation.
  • Ability to communicate clearly and effectively in English, both verbally and in writing.
  • Strong team player who actively shares ideas and embraces diverse perspectives.
  • Proactive foresight in defining expected outcomes, timelines, and effort.
  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics or a similar program.
  • Demonstrated impact and scope in your previous roles.
  • Ownership: You own a problem and go beyond your scope to find a solution.

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 to achieve a good work-life balance.
  • Part of a highly engaged, motivated, and professional Development team.
  • Employees who drive change with creativity are valued.
  • A comprehensive, structured HR and professional onboarding process with cross-departmental introductions and feedback sessions.
  • Free access to our complete Lecturio training platform for personal and professional development.
  • Free access to coaching sessions and other mental health benefits.

Location

Remote (Time zones: UTC / UTC +1 / UTC -1 / UTC +2 / UTC -2 / UTC +3 / UTC +4 / UTC +5)

Employment Type

Full-time

We look forward to your application.

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