We are dedicated to supporting professionals in measuring what matters preventing cardiovascular events and improving diagnosis and therapy in cardiovascular health. Our team is unwaveringly committed to reshaping the future of cardiovascular health beat by beat and we eagerly welcome potential candidates to join us in this mission. We are seeking an experienced Data this role you will play a critical part in developing and optimizing our cardiovascular diagnostic product line aimed at maternal health. You will work closely with hardware engineers software developers and clinical experts to ensure our products meet stringent regulatory standards and deliver exceptional performance.
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) PIPL (China) PDPA (Singapore) 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 workflows (Tableau Looker Grafana or Streamlit).
- Ensure reproducibility and model traceability across the full lifecycle.
Requirements
- Bachelors or Masters 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.
- Experience building secure cloud-based data systems using AWS Azure or GCP.
- Strong programming skills in Python and SQL.
- Advanced experience with Orchestration (Airflow Dagster or Prefect) Data frameworks (Spark dbt Kafka) and Infrastructure automation (Terraform Kubernetes Helm).
- Experience managing encryption standards and secure authentication
- Adept with containers service mesh and runtime security scanning
- Experience translating compliance frameworks into technical implementation.
- Proven cross-functional communication skills.
- Clear documentation-driven engineering approach.
- Experience with medical data formats (FHIR HL7 DICOM).
- Experience in regulated industries (MedTech pharma).
- Certifications such as AWS Certified Security Specialty CISSP Associate and TensorFlow Developer / MLflow Certification (good to have).
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth and development.
- A supportive and innovative work environment.
- Location is not a barrier for the right candidates though occasional travel to our Berlin HQ may be required.
- 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
We look forward to your application!
We are dedicated to supporting professionals in measuring what matters preventing cardiovascular events and improving diagnosis and therapy in cardiovascular health. Our team is unwaveringly committed to reshaping the future of cardiovascular health beat by beat and we eagerly welcome potential cand...
We are dedicated to supporting professionals in measuring what matters preventing cardiovascular events and improving diagnosis and therapy in cardiovascular health. Our team is unwaveringly committed to reshaping the future of cardiovascular health beat by beat and we eagerly welcome potential candidates to join us in this mission. We are seeking an experienced Data this role you will play a critical part in developing and optimizing our cardiovascular diagnostic product line aimed at maternal health. You will work closely with hardware engineers software developers and clinical experts to ensure our products meet stringent regulatory standards and deliver exceptional performance.
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) PIPL (China) PDPA (Singapore) 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 workflows (Tableau Looker Grafana or Streamlit).
- Ensure reproducibility and model traceability across the full lifecycle.
Requirements
- Bachelors or Masters 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.
- Experience building secure cloud-based data systems using AWS Azure or GCP.
- Strong programming skills in Python and SQL.
- Advanced experience with Orchestration (Airflow Dagster or Prefect) Data frameworks (Spark dbt Kafka) and Infrastructure automation (Terraform Kubernetes Helm).
- Experience managing encryption standards and secure authentication
- Adept with containers service mesh and runtime security scanning
- Experience translating compliance frameworks into technical implementation.
- Proven cross-functional communication skills.
- Clear documentation-driven engineering approach.
- Experience with medical data formats (FHIR HL7 DICOM).
- Experience in regulated industries (MedTech pharma).
- Certifications such as AWS Certified Security Specialty CISSP Associate and TensorFlow Developer / MLflow Certification (good to have).
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth and development.
- A supportive and innovative work environment.
- Location is not a barrier for the right candidates though occasional travel to our Berlin HQ may be required.
- 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
We look forward to your application!
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