Clinical Ink is seeking to unlock clinical discovery and improve clinical trial research through connected technology by designing and implementing robust data pipelines
Requirements
- Hands-on experience with AWS services (e.g., S3, Quicksight)
- Strong Python programming skills
- ETL tool experience
- Familiarity with data governance, access controls, and healthcare compliance
- Experience with connected device data and wearables is a plus
Responsibilities
- Design, build, and maintain real-time and batch data pipelines using AWS services (e.g., S3)
- Ingest and normalize data from mobile apps, sensors, and connected health devices
- Collaborate with platform teams to align proof-of-concept pipelines with enterprise data architecture standards
- Ensure data pipelines meet privacy, security, and compliance standards (e.g., HIPAA, GxP)
- Support data scientists and product teams with structured datasets for analysis and visualization
- Automate deployment and monitoring of data workflows in a DevOps-friendly environment
- Contribute to documentation, knowledge transfer, and rapid prototyping culture of the lab
Other
- 3+ years experience in data engineering, preferably in digital health, healthcare, or sciences
- Collaborative mindset with ability to work cross-functionally in a fast-paced, iterative environment
- Ability to work in a team environment
