Data Scientist / Data Engineer

Join; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Professional development

Innovative work environment

Zusammenfassung

80 Beats Medical, a Berlin-based medical technology company, seeks an experienced Data Scientist / Data Engineer to build data and AI infrastructure for next-gen diagnostic solutions. You will work with high-frequency physiological data, creating secure, scalable pipelines and production-ready ML models, collaborating with software, clinical, and regulatory teams.

You will design robust data ingestion, governance, and security controls, while deploying explainable AI tools and maintaining

Qualifikationen

• 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.
• Experience with longitudinal data and cloud platforms (AWS/Azure/GCP) is a plus.
• Knowledge of medical data formats (FHIR, HL7, DICOM) is a plus.

Aufgaben

• Design, build, and maintain robust, scalable, and secure data ingestion and transformation pipelines.
• Develop and maintain reusable data libraries, transformation logic, and governance frameworks.
• Ensure full compliance with GDPR, NIS2, Cyber Resilience Act, HIPAA and other global regulatory frameworks.
• Implement RBAC, encryption in transit and at rest, data anonymization workflows, and consent handling.
• 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 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.

Kenntnisse

5+ years experience

Time-series data

Statistical programming

ML for high-frequency data

Programming languages

Orchestration & data frameworks

Cross-functional communication

Documentation-driven engineering

Longitudinal data (good-to-have)

Cloud platforms (AWS/Azure/GCP)

Ausbildung

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

Tools

Python

JavaScript

TensorFlow

PyTorch

Tableau

Looker

Grafana

Streamlit

Airflow

Dagster

Prefect

Spark

dbt

Kafka

Terraform

Kubernetes

Helm

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.
• 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?

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!