Data Scientist / Data Engineer

Free resume; Berlin; Hybrid; EUR 53.000 - 59.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Comprehensive benefits

Remote work options

Professional growth opportunities

Impactful healthcare tech

Zusammenfassung

80 Beats Medical in Berlin is hiring an experienced Data Scientist / Data Engineer to build the data and AI infrastructure for cardiovascular diagnostics. You will design secure, scalable pipelines and support transitions of ML models from research to production-ready clinical applications.

You will collaborate with software, clinical, and regulatory teams in a highly interdisciplinary setting, focusing on governance, security, and reproducibility across the data lifecycle.

Qualifikationen

• 5+ years building secure, compliant cloud data ecosystems.
• Hands-on with time-series or biomedical/wearable data.
• Strong statistical programming knowledge.
• ML approaches for classification, anomaly detection, and prediction.
• Proficiency in one or more programming languages.
• Experience with orchestration, data frameworks, and infrastructure automation.
• Proven cross-functional communication skills.

Aufgaben

• Design, build, and maintain scalable data ingestion pipelines with validation and lineage tracking.
• Develop reusable data libraries and governance frameworks.
• Ensure GDPR, NIS2, Cyber Resilience Act, HIPAA compliance.
• Implement RBAC, encryption, anonymization, consent handling and auditability.
• Participate in security audits and certification efforts.
• Operationalize AI pipelines including deployment, monitoring, drift handling, and retraining.
• Deploy explainable AI tooling (SHAP/LIME) in the pipeline.

Kenntnisse

Time-series data

Python

ML fundamentals

Data pipelines

Cross-functional comms

Ausbildung

Degree in Computer Science/Engineering/Data Science/AI/Cybersecurity

Tools

Airflow

Dagster

Prefect

Spark

dbt

Kafka

Terraform

Kubernetes

Jobbeschreibung

80 Beats Medical is a Berlin-based medical technology company developing innovative solutions for cardiovascular and vascular diagnostics.

Our VICORDER® platform enables non-invasive assessment of vascular health Building on this established technology, we are expanding our clinical diagnostic portfolio by combining medical device technology with advanced data analytics and AI.

Our goal is to transform complex physiological and cardiovascular data into reliable, clinically meaningful insights that can support earlier risk detection and better-informed clinical decisions.

We are a growing, international team working at the intersection of medical devices, software, data science, and clinical research.

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.

Tasks

• 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.

GOOD TO HAVE

• Experience with multilevel longitudinal data, missing data strategies, and clinical outcome modeling.
• 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.
• Knowledge of medical data formats (FHIR, HL7, DICOM).
• Management of encryption standards and secure authentication
• 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?

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!

Remote full-time en 53,000–59,000 EUR/yr