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XUND

MDR-certified SaMD for healthcare workflows

Senior Data Engineer - Knowledge Graphs & Clinical Informatics

Data EngineeringConfirmed live in the last 24 hours
Full-timeHUF1.9M /mo

About the Job

Requirements

  • A Master of Science or PhD in computer science, mathematics, or a related field is required.
  • At least four years of industry experience working with medical data or in data engineering, or appropriate academic research, is required.
  • Strong knowledge of graph databases, query languages, search algorithms, and/or inference systems such as Neo4j, Memgraph, Cypher, SQL, or Datalog is required.
  • Extensive software development experience with Python and/or TypeScript, including comfort switching languages and frameworks, is required.
  • Applicants must be resident in the EU and have a valid work permit.

Responsibilities

  • Find uses for different database types and data pipelines to keep collected patient data and produced medical knowledge consistent and interoperable.
  • Develop and integrate parts of the clinical inference engine using rule-based and statistical models.
  • Design and extend clinical data models using domain ontologies such as SNOMED-CT, FHIR, and UMLS to create rich, queryable graph structures.
  • Translate research insights into scalable, production-grade software in an agile team.
  • Work with medical experts to capture clinical workflows and validate ontology mappings.
  • Shape technical direction, schema design, and engineering best practices across the engineering team.

Desired Qualifications

  • Familiarity with statistics, formal logic, and/or machine learning.
  • Experience with electronic health records and clinical data exchange formats such as FHIR.
  • Interest in Knowledge Representation and Reasoning (KRR).
  • Experience independently managing cloud environments such as GCP and CI/CD pipelines.

About the Company

XUND

MDR-certified SaMD for healthcare workflows

XUND develops MDR-certified Software as a Medical Device (SaMD) that digitises patient interactions from prevention to diagnosis for insurers, hospitals, and pharma. Its digital health assistant and Medical API help users understand symptoms and determine next steps, while its RAVE large language model layer supports healthcare workflows. The company operates with a team of 40+ across Vienna, Budapest, and London, and recently secured €6 million in a Pre-Series A to expand across the DACH region and the UK, strengthening SaMD and RAVE integrations. This positions XUND to streamline clinical pathways and data-driven care by providing compliant software tools that translate patient data into actionable medical guidance for healthcare providers and payers.

Company size
51-200
Company stage
Seed
Total funding
$17M
Headquarters
Vienna, Austria
Founded
2018

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