Data Scientist / Data Engineer (m/f/d)

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. Requirements

QUALIFICATIONS

• Degree in Computer Science, Engineering, Data science, AI, Cybersecurity, or similar.
• 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.
• 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
• Advanced experience with Orchestration, Data frameworks, and Infrastructure automation.
• Proven cross-functional communication skills.
• Clear, documentation-driven engineering approach.

GOOD TO HAVE

• Experience with multilevel longitudinal data, missing data strategies, and clinical outcome modeling.
• Good working knowledge of either AWS, Azure, or GCP
• 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
• Previous work with Airflow, Dagster for Orchestration and Prefect, Spark, dbt, Kafka for data frameworks and Terraform, Kubernetes, Helm for infrastructure automation.
• Knowledge of medical data formats (FHIR, HL7, DICOM).
• Management of encryption standards and secure authentication

Benefits

• 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. You are at the forefront of developing technology that saves lives – what else is there?

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.

Join our innovative Berlin team as a Data Scientist / Data Engineer to revolutionize cardiovascular diagnostics through cutting-edge technology and international collaboration. Be part of healthcare's future today!