Technical Lead

The Value Maximizer Logo
  • Consulting
  • FullTime

Patient Engagement & Support Platform – Technical LeadLocation: South San Francisco, CA

Role OverviewWe 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.____Key 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

Workstream-Specific Responsibilities & SkillsPatient Support Services / Patient Journey

  • Design and enhance patient-facing applications and digital touchpoints
  • Support end-to-end patient journey mapping and optimization
  • Work closely with frontend and backend teams for system integrations

Core Skills:

  • UI development
  • AWS
  • Java
  • Angular

Supporting Skills:

  • Frontend frameworks
  • Patient journey mapping
  • Enterprise system integrations

Required Qualifications

  • 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____Nice to Have
  • 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