Job
- Level
- Senior
- Job Field
- IT, Data, Security
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop robust data pipelines to process high-frequency medical data and implement machine learning into clinical applications while ensuring compliance with global security standards.
Job Technologies
Your role in the 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.
- Unterstützung bei der Visualisierung von Arbeitsabläufen.
- Ensure reproducibility and model traceability across the full lifecycle.
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Our expectations of you
Education
- Degree in Computer Science, Engineering, Data Science, AI, Cybersecurity, or similar.
- Knowledge of medical data formats (FHIR, HL7, DICOM).
Qualifications
- Kenntnisse in statistischer Programmierung.
- Starkes Verständnis von ML-Ansätzen für Klassifikation, Anomalieerkennung und Vorhersage unter Verwendung von hochfrequenten Daten.
- Proficiency in one or more programming languages.
- Bewährte bereichsübergreifende Kommunikationsfähigkeiten.
- 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.
Experience
- 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.
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What we offer
- 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.
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Topics You Will Work On
Job Locations
About Your Employer
Vicorder
80 Beats Medical is a Berlin-based MedTech company focused on cardiovascular diagnostics, screening, and research. The VICORDER platform is used for clinical routine examinations and combines medical technology with data analysis for more accurate diagnostic applications.
Description
- Company Type
- Established Company
- Industry
- Healthcare, Social Sector
Data Scientist/Data Engineer
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
