Data Scientist / Data Engineer

About This Opportunity

We are representing a confidential medical technology organization based in Berlin that is transforming cardiovascular diagnostics through advanced data analytics and AI. Our client combines established medical device technology with cutting-edge machine learning to deliver clinically meaningful insights for earlier risk detection and better-informed clinical decisions.

As their recruiting partner, Get A Job.ai is seeking an experienced Data Scientist / Data Engineer to build the data and AI infrastructure behind next-generation medical diagnostic solutions. You'll work with high-frequency physiological and clinical data in a highly interdisciplinary environment alongside software, clinical, and regulatory teams.

Responsibilities

• Design, build, and maintain robust, scalable, and secure data ingestion and transformation pipelines with automated 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
• Implement role-based access control (RBAC), encryption in transit and at rest (HSM/KMS), data anonymization and pseudonymization workflows, and consent handling with 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) 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 workflow visualization and ensure reproducibility and model traceability across the full lifecycle

What We're Looking For

Required:

• Degree in Computer Science, Engineering, Data Science, AI, Cybersecurity, or similar field
• 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

Preferred:

• Experience with multilevel longitudinal data, missing data strategies, and clinical outcome modeling
• Working knowledge of AWS, Azure, or GCP
• Hands-on experience with Python and/or JavaScript including ML libraries such as TensorFlow and PyTorch
• Experience with visualization libraries such as Tableau, Looker, Grafana, or Streamlit
• Previous work with Airflow, Dagster, Prefect, Spark, dbt, Kafka, Terraform, Kubernetes, or Helm
• Knowledge of medical data formats (FHIR, HL7, DICOM)
• Management of encryption standards and secure authentication

How We Work With You

When you apply through Get A Job.ai, our talent team will conduct an initial screening to understand your background and ensure alignment with the role requirements. If there's a strong match, we'll submit your profile to our client for consideration. Please note that you should not contact the client directly—all communication will flow through our recruiting team to ensure a smooth and professional process.

Pay

Compensation details will be discussed during the screening process based on your experience and qualifications.

Equal Opportunity

Get A Job.ai is committed to inclusive recruiting practices and works with clients who share our values of diversity and equal opportunity in the workplace.