Technical Lead - ML &B Data Science

San Francisco 18 hours agoFull-time External
Negotiable
Job Description: 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 & SkillsAdherence 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