Lead Healthcare Data Analyst (Pre-sale)

HealthVerity • Philadelphia, PA

8d • Hybrid

About The Position

As a Lead Healthcare Data Analyst, Real World Data Solutions (RWDS), you will apply your healthcare data analytics expertise to support pre-sales solutioning, helping clients and internal teams assess data feasibility, shape analytic approaches, and identify the right data assets to support prospective licensing opportunities. You will conduct discovery and translate clients' research and business questions into actionable analyses by leveraging the largest healthcare data ecosystem in the US. You will apply an analytical lens to define populations of interest, apply appropriate inclusion and exclusion criteria, evaluate longitudinal patient journeys, and validate outputs with a critical eye. In collaboration with colleagues, you will identify patients and educate clients on the data suppliers in the HealthVerity Marketplace (HVM) that capture the necessary data elements to conduct RWD-based studies and produce regulatory-grade real world evidence (RWE).

Requirements

• Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, or related quantitative field
• At least 4 years experience in a consultative, client-facing role
• At least 6 years experience using SQL, programming against large relational databases leveraging interoperably-linked, patient-level data at scale
• 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, NDC, CVX, LOINC, NUCC, NPPES, etc.), with an understanding of why data standards matter in regulatory contexts
• Experience evaluating fit-for-purpose data and implementing research protocols, including defining populations of interest, applying inclusion and exclusion criteria, and validating analytical outputs
• Experienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health

Nice To Haves

• Hands-on experience working with real-world patient data, including open and closed claims, EMR, and lab data.
• Strong understanding of healthcare data structure, longitudinal patient journeys, and how data is used to support patient-level analysis.
• Ability to apply epidemiological thinking to define populations of interest, develop inclusion and exclusion criteria, and critically validate analytical outputs.
• Experience working with healthcare coding systems such as ICD, CPT, HCPCS, NDC, and/or LOINC, with an understanding of the importance of data standards in regulated healthcare contexts.
• Comfortable interpreting and communicating analytical outputs, including distributions, trends, cohort definitions, and feasibility results.
• Skilled at translating analytical concepts into clear, actionable insights for both technical and non-technical audiences.
• Strong client-facing communication skills, with the ability to adapt messaging based on audience, urgency, and business need.
• Able to partner closely with Sales and cross-functional teams to deliver timely, useful insights, even in fast-moving or evolving situations.
• Consultative, proactive problem solver who can balance speed, accuracy, and practical business impact.
• Highly organized and detail-oriented, with the ability to manage projects, identify risks, and support intended outcomes.
• Collaborative team player who takes initiative and works effectively across all levels of the organization.
• Comfortable working in a rapidly changing, fast-paced environment without sacrificing analytical rigor or accuracy.
• Committed to continuous personal and professional development
• Experience with healthcare analytics tools such as SQL, Python, and/or R.
• Ability to travel occasionally to HealthVerity HQ in Philadelphia, PA.

Responsibilities

• Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, chargemaster) using SQL to identify populations of interest in HVM data, apply appropriate inclusion and exclusion criteria, and assess outputs using univariate analysis, distributions, trends, and data investigations.
• Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth.
• Own cross-functional alignment between Sales and Data Delivery teams, establishing operational best practices and ensuring seamless, on-time, and accurate delivery of data.
• Develop and communicate technical, clinical, operational, and business specifications to internal and external teams, translating analytical concepts for non-technical stakeholders.
• Lead the development and maintenance of internal documentation, analytics automation, AI enablement, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth.
• Showcase HealthVerity’s strategic value through independent thought leadership and reinforce our standing in the RWE space.
• Leverage AI in innovative ways to enhance workflows and improve internal efficiency.

Benefits

• competitive base salary & annual bonus opportunity
• health, dental, and vision coverage starting on day 1
• 401(k) plan
• equity program, with new hire equity grants beginning at the Director level and above
• Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area
• Generous PTO: targeted at 4 weeks per year, including vacation, personal and sick time
• 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
• Professional development: 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: Senior