Technical Lead - ML &B Data Science

AI overview

Collaborate closely with business, technology, and data teams to design, implement, and optimize patient support solutions across multiple workstreams in a patient-centric environment.
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 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.
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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 & 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
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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

Qode is dedicated to helping technical talent around the world find meaningful careers that match their skills and interests. Our platform provides a range of resources and tools that empower job seekers to take control of their careers and connect with top employers across a variety of industries. We believe that every individual deserves to find work that they're passionate about, and we are committed to making that vision a reality.Qode's team of experienced professionals is passionate about creating a better world of work by providing innovative solutions that improve the job search process for both job seekers and employers. We believe in transparency, trust, and collaboration, and we strive to build strong relationships with our customers and partners. Through our platform, we aim to create a more engaged and fulfilled global workforce that drives innovation and growth.

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