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Technical Lead - ML &B Data Science

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Qode
Full Time position
Listed on 2026-02-23
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: California

Overview

Job Description:

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 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.

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

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
  • AI/ML solutions
  • Data science
Supporting Skills
  • AI/ML-driven adherence solutions

Adherence friction-point analysis

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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