XUND
Senior Data Engineer - Knowledge Graphs & Clinical Informatics
1 мес. назад
от 3954 EUR / мес.ВенгрияАвстрияSeniorHybrid
knowledge graphsclinical ontologiesdata modelingneo4jpythontypescriptcyphersql
Join XUND as a Senior Data Engineer to architect a new data backbone, working with clinical ontologies and large-scale healthcare data to build a high-performing knowledge graph that benefits patients and doctors.
About the company
- XUND is a leading digital health scale-up that enables healthcare companies to digitize patient interactions and translate data into actionable insights.
- Our vision is to empower patients to make better decisions, achieved by leaders, doers, and innovative minds who put patients first and challenge the status quo.
About the product
- Our product involves AI-powered digital health assistants to digitize the patient journey from first symptoms to treatment.
- We turn messy, large-scale healthcare data into unified, queryable knowledge graphs using clinical ontologies such as SNOMED-CT, FHIR, UMLS.
Responsibilities
- Find creative uses of different database types and data pipelines to ensure patient data consistency and interoperability.
- Develop and integrate parts of the clinical inference engine using rule-based and statistical models.
- Design and extend clinical data models using domain ontologies to turn healthcare data into rich, queryable graph structures.
- Translate research insights into scalable, production-grade software efficiently within an agile team.
- Work closely with medical experts to capture clinical workflows and validate ontology mappings.
- Shape technical direction, schema design, and engineering best practices across the engineering team.
Requirements
- MSc or PhD in computer science, mathematics, or related field.
- More than 4 years of industry experience in medical data work or data engineering, or relevant academic research.
- Strong knowledge of graph databases, query languages, search algorithms and inference systems (e.g. Neo4j, Memgraph, Cypher, SQL, Datalog).
- Extensive software development experience with Python and/or TypeScript, comfortable switching languages/frameworks.
- Resident in the EU with a valid work permit.
Nice to have
- Familiarity with concepts of statistics, formal logics and/or machine learning.
- Experience with Electronic Health Records (EHRs) and clinical data exchange formats like FHIR.
- Deep interest in Knowledge Representation and Reasoning (KRR).
- Experience managing cloud environments (e.g., GCP) and CI/CD pipelines independently.
Conditions
- Join one of Europe's leading healthtech scale-ups in a purpose-driven environment.
- Work remotely or from offices in Vienna, Budapest, and Berlin.
- Dedicated training budget and professional development time.
- Company-wide celebrations and optional local gatherings with great food and zero pressure.
- Vibrant, open culture with flat hierarchies and direct communication.
- Allowed to bring office dogs or enjoy company of resident dogs.