AI Data Engineer

 Posted 3 months ago
  
 Worldwide
  
2-5 years experience
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AI Summary

The AI Data Engineer will design and build robust, real-time and batch data pipelines utilizing AWS services to support rapid prototyping of mobile health applications and device integrations. Responsibilities include ingesting and normalizing data, ensuring compliance with privacy standards, and supporting data scientists with structured datasets for analysis.
Company Information
Clinical Ink is the global life science company that brings data, technology, and patient science together to unlock clinical discovery. Our deep therapeutic-area expertise, coupled with Direct Data Capture, eCOA, eConsent, telehealth, neurocognitive testing, and digital biomarkers advancement, drive the industry standard for data precision and usher in a new generation of clinical trials. With offices in Philadelphia, PA, Winston Salem, NC, and Iowa City, IA, Clinical Ink is rewriting the clinical development experience. 

Job Description
Clinical Ink is seeking an AI Data Engineer to join our Artificial Intelligence and Innovation Lab. In this role, you will lead the design and implementation of robust data pipelines that support rapid prototyping of mobile health applications and device integrations. You will collaborate closely with mobile development, platform engineering, and data science teams to ensure prototype solutions are scalable and compatible with our existing AWS-based infrastructure and Snowflake data warehouses. This position is ideal for a data engineer excited by early-stage innovation and improving clinical trial research through connected technology. The AI Data Engineer's responsibilities include:
  • 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.
 
Qualifications
  • 3+ years experience in data engineering, preferably in digital health, healthcare, or sciences.
  • 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.
  • Collaborative mindset with ability to work cross-functionally in a fast-paced, iterative environment.
 
Additional Information
Clinical ink is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or handicap, or veteran status. 
www.clinicalink.com ​

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