Lead RWE Analyst, AI

HealthVerity • Philadelphia, PA

5d • $130,000 - $190,000 • Hybrid

About The Position

As Lead RWE Analyst, AI, you will serve as a key post-sale partner to HealthVerity’s life sciences clients, helping them successfully adopt and derive value from our AI-powered real-world data (RWD) analytics platform. You will combine your expertise in healthcare data with a deep understanding of RWE use cases to guide client engagement, education, and troubleshooting. You’ll work hands-on with large, linked healthcare datasets to answer client questions, conduct data investigations, and support interpretation of AI-generated outputs. You will also serve as the voice of the customer, advising product development teams on how to optimize AI features for usability, trust, and relevance in real-world evidence (RWE) workflows. What you will do Act as a subject matter expert in RWD and RWE analytics for clients leveraging HealthVerity’s AI-powered platform, HealthVerity eXOs Perform human-in-the-loop (HITL) reviews of client-generated analyses using the HealthVerity eXOs platform Lead data investigations using claims, EMR, and other data types to assess feasibility, uncover insights, and triage product-related issues Conduct client trainings and develop onboarding resources to foster meaningful engagement with AI-generated outputs Support client success in core RWE use cases such as: Incidence and prevalence estimation Cohort exploration and study design Comparative effectiveness and line-of-therapy analyses Help clients build trust in AI outputs through thoughtful communication, context-setting, and method interpretation Collaborate cross-functionally with Product and Engineering teams to relay client feedback, validate feature usability, and support roadmap planning Standardize analytic guidance and maintain documentation to scale product engagement and internal knowledge Contribute to continuous improvement initiatives and mentor peers across the DI&A team How success will be defined High client satisfaction and engagement with AI-powered RWD tools post-sale Accurate and timely resolution of HITL requests, client inquiries, and data-related issues Effective translation of client feedback into actionable input for product development Scalable onboarding, training, and documentation resources that promote adoption Recognition as a trusted expert by clients and internal partners alike

Requirements

• Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, or a related field
• 6+ years of hands-on experience analyzing large-scale healthcare data (e.g., claims, EMR, labs)
• 4+ years of client-facing experience in analytics, consulting, or product support roles
• Proficient in both SQL and Python, with demonstrated experience querying and analyzing large datasets
• Deep understanding of codified healthcare standards (ICD, CPT, LOINC, etc.) and real-world data analytics best practices
• Proven ability to guide technical and non-technical audiences through AI-driven outputs and methodologies
• Familiarity with RWE applications and stakeholder needs in pharma, including HEOR, medical affairs, RWE, commercial, and clinical development

Nice To Haves

• Experience supporting or enabling analytics SaaS or AI-driven tools
• Knowledge of large language models (LLMs) and how they can support healthcare research
• Strong communicator and educator, skilled at distilling technical concepts into actionable guidance
• Highly organized and comfortable operating in ambiguity and change
• Committed to knowledge-sharing, cross-functional collaboration, and continuous improvement

Responsibilities

• Act as a subject matter expert in RWD and RWE analytics for clients leveraging HealthVerity’s AI-powered platform, HealthVerity eXOs
• Perform human-in-the-loop (HITL) reviews of client-generated analyses using the HealthVerity eXOs platform
• Lead data investigations using claims, EMR, and other data types to assess feasibility, uncover insights, and triage product-related issues
• Conduct client trainings and develop onboarding resources to foster meaningful engagement with AI-generated outputs
• Support client success in core RWE use cases such as: Incidence and prevalence estimation Cohort exploration and study design Comparative effectiveness and line-of-therapy analyses
• Help clients build trust in AI outputs through thoughtful communication, context-setting, and method interpretation
• Collaborate cross-functionally with Product and Engineering teams to relay client feedback, validate feature usability, and support roadmap planning
• Standardize analytic guidance and maintain documentation to scale product engagement and internal knowledge
• Contribute to continuous improvement initiatives and mentor peers across the DI&A team

Benefits

• competitive base salary & annual bonus opportunity (for non-commissioned roles)
• We offer a 401(k) plan and stock options.
• Health, dental, and vision coverage start on day 1, while 401(k) eligibility and stock options follow soon after.
• Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
• Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
• 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
• Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
• biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level