About the Role
The role involves building and managing clinical data pipelines, integrating diverse health datasets, and supporting regulatory-grade data infrastructure for research and product development.
Responsibilities
- Design and implement scalable data pipelines for clinical and physiological data
- Collaborate with research and engineering teams to define data requirements
- Ensure data integrity, consistency, and traceability across systems
- Develop ETL workflows to process structured and semi-structured health data
- Support data standards compliance for clinical research applications
- Optimize database performance for large-scale time-series data
- Work with clinical researchers to interpret data needs and outcomes
- Maintain documentation for data models and transformation logic
- Troubleshoot data issues and implement corrective solutions
- Integrate data from wearables and clinical trials into central repositories
- Apply data validation frameworks to ensure quality control
- Support audit readiness and regulatory compliance efforts
- Use version control for data pipeline development and deployment
- Contribute to data governance policies and practices
- Monitor data system performance and reliability
- Collaborate on data anonymization and privacy-preserving techniques
- Evaluate new data technologies for clinical use cases
- Assist in defining metrics and success criteria for data accuracy
- Participate in cross-functional planning for data-driven features
- Ensure secure handling of sensitive health information
Nice to Have
- Master’s degree in a relevant technical or life sciences field
- Experience with FDA-regulated software or devices
- Background in physiological or biometric data processing
- Familiarity with clinical data standards such as CDISC
- Knowledge of machine learning pipelines in healthcare contexts
- Experience with real-time data streaming technologies
- Contributions to open-source data projects
- Published work in clinical informatics or data engineering
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid
Team
Data Engineering team within a health technology organization
About the Role
This position plays a key role in shaping how clinical data is collected, processed, and utilized to generate actionable health insights. The engineer will work closely with data scientists, clinicians, and product teams to ensure data systems meet scientific and regulatory standards.
Impact
Your work will directly influence the reliability of health metrics and support evidence-based product development. You will help bridge clinical research and engineering to deliver trustworthy data solutions.
Available for qualified candidates
