Data Scientist / Data Engineer
80 Beats Medical GmbH · Berlin
What this role requires
2 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: TensorFlow, PyTorch, Tableau, Looker, Grafana, Streamlit, AWS, Azure, GCP, Airflow, Dagster, Prefect, Spark, dbt, Kafka, Terraform, Kubernetes, Helm, FHIR, HL7, DICOM, English (B2). Worth having, but their absence is not what gets a CV filtered out.
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Job description
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.
Read the full description (37 more sections)Show less
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!
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