Technical Lead

Qode • California, CA

1d

About The Position

Patient Engagement & Support Platform – Technical Lead Location: South San Francisco, CA Role Overview We are seeking a highly skilled professional with strong domain expertise in Patient Engagement and Support Programs to support and drive multiple workstreams 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.

Requirements

• 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
• AWS Data engineering
• Data Tech Lead expertise
• Support care concepts
• Data analytics for personalization and prediction

Nice To Haves

• 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

Responsibilities

• Partner with business and clinical stakeholders to design, implement, and optimize patient support solutions across multiple workstreams
• 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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed