Lead Healthcare Data Analyst (Post-sale)

HealthVerity is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate patient data. As a Lead Healthcare Data Analyst, you will leverage your expertise in healthcare data analytics to provide strategic support to clients, translating complex data into actionable insights and mentoring junior team members.

Responsibilities:

• Serve as the primary point of contact for one or more of HealthVerity clients, providing expert post-sale support across their RWD use cases
• Build deep, trusted relationships with stakeholders across data, analytics, and research functions
• Respond to client data questions with accuracy and clarity, triaging issues and driving them to resolution
• Proactively communicate insights, updates, and best practices to help clients maximize value from HealthVerity data assets
• Translate complex needs and methodologies into clear, actionable guidance for clients’ cross-functional stakeholders
• Lead client trainings, standardize analytic guidance, and document use case support in the post-sale phase
• Proactively anticipate the client’s evolving data needs by monitoring their pipeline, research activity, and emerging use cases and routing expansion signals to Sales
• Develop and maintain training materials, documentation, and reference guides tailored to the client’s specific use cases
• Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, chargemaster) with proficiency in SQL or Python to identify cohorts and support client inquiries
• Work cross-functionally with sales and data delivery teams to drive operational processes and support best practices to deliver data licensing projects on time and with accuracy
• Mentor junior team members, focusing on improvement initiatives, collaboration and innovation

Requirements:

• Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, or related field
• At least 4 years of direct client-facing experience in a healthcare analytics, life sciences, technology, or biotechnology context, with demonstrated ability to manage and grow client relationships
• Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, CVX, LOINC, NUCC, NPPES, etc.)
• Proficient in SQL or Python, programming against large relational databases leveraging interoperably-linked, patient-level data at scale
• Experience evaluating fit-for-purpose data and implementing research protocols
• Strong presentation and communication skills, with the ability to translate complex data concepts for technical and non-technical audiences alike
• Experience applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health
• Direct experience working with teams at technology or life science organizations (e.g., HEOR, medical affairs, commercial)
• Highly organized, consultative, and proactive; able to manage multiple concurrent workstreams with strong attention to detail
• Exposure to a wide range of healthcare industry business segments (pharma, technology, government, consulting, healthcare payer/provider)
• Experience working directly with pharmaceutical, biotech, or technology companies in a post-sale capacity
• Experience planning and executing training and development programs against a long-term roadmap, preferably within the scope of a large enterprise life sciences contract
• Skilled at educating, presenting, and demonstrating analytical concepts to internal and external audiences
• Strong communicator (both verbally and in writing) with the ability to translate client needs into actionable data insights
• Experience owning and managing projects with the ability to identify and mitigate risk to intended outcomes
• Team player who takes initiative and works collaboratively with colleagues across all levels of the organization
• Committed to personal and professional continuous development
• Thrives in a rapidly-changing, fast paced environment
• Ability to travel occasionally to HealthVerity HQ (Philadelphia, PA)