Logo Vicorder

Data Scientist / Data Engineer

Vicorder

Job

  • Level
    Senior
  • Job Feld
    IT, Data, Security
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Berlin
  • Arbeitsmodell
    Onsite

    • Job Zusammenfassung

    In dieser Rolle entwickelst du robuste Datenpipelines zur Verarbeitung hochfrequenter medizinischer Daten und implementierst maschinelles Lernen in klinische Anwendungen, während du die Einhaltung globaler Sicherheitsstandards sicherstellst.

    Job Technologien

    Deine Rolle im Team

    • We are looking for an experienced Data Scientist / Data Engineer to help build the data and AI infrastructure behind our next generation of medical diagnostic solutions. You will work with high-frequency physiological and clinical data, developing secure and scalable data pipelines and supporting the transition of machine learning models from research into production-ready clinical applications.
    • You will work closely with our software, clinical, and regulatory teams in a highly interdisciplinary environment.
    • Design, build, and maintain robust, scalable, and secure data ingestion and transformation pipelines. Implement automated ingestion, validation, lineage tracking, and quality monitoring.
    • Develop and maintain reusable data libraries, transformation logic, and governance frameworks.
    • Ensure full compliance with GDPR, NIS2, Cyber Resilience Act (EU), HIPAA (US) and other global regulatory frameworks.
    • Experience with implementation of Role-based access control (RBAC), Encryption in transit and at rest (HSM/KMS), Data anonymization & pseudonymization workflows and Consent handling and audit mechanisms.
    • Participate in security audits, compliance reviews, and certification efforts.
    • Operationalize AI pipelines including model deployment, monitoring, drift handling, versioning, and automated retraining.
    • Deploy explainable AI tooling (SHAP/LIME) into the pipeline for auditability and compliance.
    • Maintain CI/CD workflows for data and ML workloads.
    • Develop Python-based analytics scripts, reusable data modules, and feature engineering logic.
    • Support visualization of workflows.
    • Ensure reproducibility and model traceability across the full lifecycle.

    Unsere Erwartungen an dich

    Ausbildung

    • Degree in Computer Science, Engineering, Data science, AI, Cybersecurity, or similar.
    • Knowledge of medical data formats (FHIR, HL7, DICOM).

    Qualifikationen

    • Knowledge of statistical programming.
    • Strong understanding of ML approaches for classification, anomaly detection, and prediction using high-frequency data.
    • Proficiency in one or more programming languages.
    • Proven cross-functional communication skills.
    • Clear, documentation-driven engineering approach.
    • Good working knowledge of either AWS, Azure, or GCP.
    • Previous work with Airflow, Dagster for Orchestration and Prefect, Spark, dbt, Kafka for data frameworks and Terraform, Kubernetes, Helm for infrastructure automation.
    • Management of encryption standards and secure authentication.

    Erfahrung

    • 5+ years of experience building secure, compliant cloud-based data ecosystems (for regulated data domains).
    • Hands-on experience with time-series data, sensor data, or biomedical/wearable data.
    • Advanced experience with Orchestration, Data frameworks, and Infrastructure automation.
    • Experience with multilevel longitudinal data, missing data strategies, and clinical outcome modeling.
    • Hands on experience with Python and/or JavaScript including libraries for ML such as TensorFlow and PyTorch and visualization libraries such as Tableau, Looker, Grafana, or Streamlit.

    Unser Angebot

    • Competitive salary and comprehensive benefits package.
    • Opportunities for professional growth and development.
    • A supportive and innovative work environment.
    • The chance to make a meaningful impact on the lives of patients and healthcare professionals.

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    Map of company locations© OpenMapTiles, © OpenStreetMap contributors

    • Standort Berlin

      Deutschland

    Das ist dein Arbeitgeber

    Vicorder

    Vicorder

    80 Beats Medical ist ein in Berlin ansässiges MedTech-Unternehmen, das sich auf die Diagnostik, das Screening und die Forschung im Bereich der kardiovaskulären Gesundheit konzentriert. Die VICORDER-Plattform wird für klinische Routineuntersuchungen verwendet und vereint Medizintechnik mit Datenanalyse, um genauere diagnostische Anwendungen zu ermöglichen.

    Description

  • Unternehmenstyp
    Etablierte Firma
  • Branche
    Gesundheitswesen, Soziales
    • Logo Vicorder

    Data Scientist / Data Engineer

    Vicorder
    Ort
    Berlin
    Arbeitsmodell
    Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)
    Nur Englisch
    Nur Englisch erforderlich

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