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Technical Lead - AWS Data Solutions
Job in
California, Moniteau County, Missouri, 65018, USA
Listed on 2026-02-16
Listing for:
Qode
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer, AI Engineer
Job Description & How to Apply Below
Role Overview
Job Description:
Patient Engagement & Support Platform – Technical Lead
Location:
South San Francisco, CA
We are seeking a highly skilled professional with strong domain expertise in Patient Engagement and Support Programs to support and drive multiple work streams including affordability, onboarding, adherence, and personalized patient data platforms. The role requires close collaboration with business, technology, and data teams to deliver scalable, compliant, and patient-centric solutions.
Key Responsibilities- Partner with business and clinical stakeholders to design, implement, and optimize patient support solutions across multiple work streams
- Translate business requirements into functional and technical specifications
- Support solution design, integration strategy, and data flow across CRM, cloud, and analytics platforms
- Collaborate with engineering, AI/ML, and data teams to enable intelligent, data-driven patient experiences
- Ensure alignment with compliance, privacy, and regulatory standards in Life Sciences
3P – Personalized, Predictive Patient Data
- Lead data engineering initiatives to enable personalized and predictive patient insights
- Drive analytics platforms supporting patient care concepts
- Collaborate with data science teams for advanced predictive modeling
Core
Skills:
- AWS
- Data engineering
- Data Tech Lead expertise
Supporting
Skills:
- Support care concepts
- Data analytics for personalization and prediction
- 8–12+ years of experience in Life Sciences, Healthcare IT, or Patient Engagement platforms
- Strong understanding of patient support programs, digital health solutions, and CRM ecosystems
- Hands-on experience working with AWS-based architectures and data platforms
- Ability to work across business, engineering, and data teams
- Strong communication, documentation, and stakeholder management skills
- Experience with AI/ML solutions in healthcare
- Exposure to Snowflake, IoT-based health devices, or real-world evidence platforms
- Prior experience working with pharma patient services or hub programs
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