Data Scientist / Data Engineer

About the role

80 Beats Medical is seeking an experienced Data Scientist / Data Engineer to build the data and AI infrastructure for next-generation medical diagnostic solutions. You will work with high-frequency physiological and clinical data to develop secure, scalable pipelines and support the transition of machine learning models into production. This role involves close collaboration with software, clinical, and regulatory teams in an interdisciplinary environment.

Responsibilities

• 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, and HIPAA.
• Implement security measures including RBAC, encryption, and data anonymization.
• Operationalize AI pipelines including model deployment, monitoring, and versioning.
• Maintain CI/CD workflows for data and ML workloads.

Required skills

• Python
• Data Engineering
• Machine Learning
• Cloud-based data ecosystems
• Time-series data
• Statistical programming
• Infrastructure automation
• Orchestration

Nice to have

• AWS
• Azure
• GCP
• TensorFlow
• PyTorch
• Tableau
• Looker
• Grafana
• Streamlit
• Airflow

Qualifications

• Degree in Computer Science, Engineering, Data science, AI, Cybersecurity, or similar
• 5+ years of experience building secure, compliant cloud-based data ecosystems

Benefits

• Competitive salary
• Comprehensive benefits package
• Professional growth and development opportunities

About the Company

80 Beats Medical is a Berlin-based medical technology company developing innovative solutions for cardiovascular and vascular diagnostics. Their VICORDER platform enables non-invasive assessment of vascular health, and they are currently expanding their clinical diagnostic portfolio by combining medical device technology with advanced data analytics and AI.