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Patient Engagement & Support Solutions Lead

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: The Value Maximizer
Full Time position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: California

Role Overview

Role Overview 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
  • Workstream-Specific Responsibilities &

    Skills:

    1. Affordability Models
  • Lead Salesforce (SFDC) and Patient CRM integrations to support affordability programs
  • Enable seamless data exchange using Mulesoft integrations
  • Support benefits investigation and financial assistance workflows
  • Core

    Skills:

    Salesforce (SFDC) integration
  • Patient CRM
  • Mulesoft
  • Supporting

    Skills:

    Benefits investigation
  • Financial assistance program design
  • 2. Patient 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
  • 3. Intelligent Onboarding & Consent Management
  • Enable intelligent patient onboarding using AI-enabled digital tools
  • Support consent management and compliant data capture
  • Collaborate on building scalable onboarding workflows integrated with CRM systems
  • Core

    Skills:

    AWS & Java
  • AI-enabled digital tools
  • Salesforce (SFDC) integration
  • Supporting

    Skills:

    Experience building AI-driven digital solutions
  • Patient onboarding workflows
  • 4. Adherence Monitoring
  • Support adherence solutions leveraging smart/IoT device integrations
  • Partner with AI/ML teams to identify adherence friction points
  • Enable data pipelines and analytics for adherence insights
  • Core

    Skills:

    Smart/IoT device integration
  • AWS AI/ML solutions
  • Snowflake
  • Supporting

    Skills:

    AI/ML-driven adherence solutions
  • Adherence friction-point analysis
  • 5. 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 modelling
  • Core

    Skills:

    AWS
  • Data engineering
  • Data Tech Lead expertise
  • Supporting

    Skills:

    Support care concepts
  • Data analytics for personalization and prediction
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
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