Lead Analytics Consultant, Real World Data Insights
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Lead analytics consultant guiding HealthVerity clients in using privacy-protected healthcare data. Translating real-world data into research insights, training, and post-sale solutions.
Responsibilities:
- Serve as the primary point of contact for one or more HealthVerity clients, providing expert post-sale support across RWD use cases
- Build trusted relationships with stakeholders across data, analytics, and research functions
- Respond to client data questions, triage issues, and drive them to resolution
- Communicate insights, updates, and best practices to maximize client value from HealthVerity data assets
- Translate complex needs and methodologies into actionable guidance for cross-functional client stakeholders
- Lead client trainings, standardize analytic guidance, and document post-sale use-case support
- Monitor client pipelines, research activity, and emerging use cases; route expansion signals to Sales
- Develop and maintain client-specific training materials, documentation, and reference guides
- Query medical and pharmacy claims, EMR, lab, and chargemaster data using SQL or Python to identify cohorts and support inquiries
- Work cross-functionally with Sales and data delivery teams to deliver data licensing projects on time and accurately
- Mentor junior team members and contribute to improvement, collaboration, and innovation initiatives
- Own data solutioning projects end to end and drive them to completion
- Dedicate 5–10% of working hours to team and individual improvement
Requirements:
- Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, or related field
- At least 4 years of direct client-facing experience in healthcare analytics, life sciences, technology, or biotechnology, with ability to manage and grow client relationships
- Expertise across healthcare data types, including open/closed claims, inpatient/ambulatory EMR, commercial labs, and social determinants
- Knowledge of codified healthcare data standards, including ICD, CPT, HCPCS, CVX, LOINC, NUCC, and NPPES
- Proficiency in SQL or Python and programming against large relational databases using interoperably linked, patient-level data at scale
- Experience evaluating fit-for-purpose data and implementing research protocols
- Strong presentation and communication skills for technical and non-technical audiences
- Experience applying real-world data to healthcare and life sciences research questions and use cases, including RWE/epidemiology, HEOR, R&D, commercial, or public health
- Direct experience working with technology or life science organizations
- Ability to manage multiple concurrent workstreams with strong attention to detail
- Occasional travel to HealthVerity headquarters in Philadelphia, Pennsylvania
Benefits:
- Competitive base salary and 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 flexible location options for eligible team members
- Generous PTO targeted at 4 weeks per year, including vacation, personal, and sick time
- Paid parental leave
- 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents
- Comprehensive individualized onboarding, mentorship program, departmental talks, and resource library from day 1
- Biweekly 1:1s and hands-on, goal- and growth-oriented leadership
- Annual budget for professional development
- Annual in-person team-building, collaboration, and strategic-planning gathering for hub employees
Similar Jobs
Lead Analytics Consultant, Real World Data Insights
Lead healthcare data consultant shaping pre-sales real-world evidence solutions. Analyzing linked patient data and guiding clients through feasibility, data selection, and research design.
Marketing Operations, Data Manager
Marketing operations manager building analytics, SEO, attribution, and ABM infrastructure. Advancing Cyclops’ stablecoin and crypto platform for payments companies.
Data Scientist
Senior Data Scientist applying machine learning, statistical modeling, and analytics to solve organizational problems. Supporting business decisions through predictive models and data-driven insights.
Data Scientist
Senior Data Scientist using machine learning, statistical modeling, and analytics to support business decisions. Building predictive solutions and dashboards for complex organizational problems.
Senior Healthcare Data Scientist – Medicare/Medicaid
Senior data scientist developing generative AI and predictive models for GDIT’s Medicare and Medicaid fraud detection programs. Analyzing claims and CMS data to improve program integrity.
Healthcare Data Scientist – Medicare/Medicaid
Data Scientist supporting GDIT’s Medicare/Medicaid fraud, waste, and abuse analytics. Building machine-learning, generative-AI, claims-data, and visualization solutions.
Lead Insurance Data Scientist – P&C
Data Scientist building analytics, dashboards, and applications for EPIC’s commercial property-and-casualty insurance business. Operationalizing insights on Azure Databricks with engineers and stakeholders.
Configuration and Data Manager
Configuration and data manager supporting SPA’s DoD cloud-native Platform as a Service capability. Governing system baselines, data artifacts, change control, and compliance across technical teams.
Senior Manager, Data Science
Senior Data Science Manager leading AI, machine learning, and analytics for Signature Aviation’s global private aviation network. Building data platforms and coaching a high-performing analytics team.
Senior Data Science Analyst
Analista de Ciência de Dados na Nestlé, maior empresa mundial de alimentos e bebidas. Desenvolvendo modelos de machine learning e produtos de dados para soluções de negócio.
Internship – Data Scientist
Data-Science-Praktikum/Masterarbeit bei Rewoso zur Entwicklung prädiktiver Modelle aus anonymisierten Patientendaten. Analyse, Validierung und Interpretation für digitale Gesundheits- und Versorgungsanwendungen.
Senior Data Scientist
Senior Data Scientist building production ML models for FourKites’ AI-driven supply-chain visibility platform. Owning forecasting, NLP extraction, deployment, monitoring, and automation.
Senior Data Scientist
Senior Data Scientist building production ML models for FourKites’ AI-driven supply chain visibility platform. Owning forecasting, NLP extraction, monitoring, and automation from pipeline to deployment.
Data Scientist II
Data Scientist building and deploying customer-intelligence models for CSI’s banking software platform. Supporting segmentation, behavioral prediction, monitoring, and client-facing insights.
Data Scientist III
Data Scientist III leading production machine-learning and customer analytics for CSI’s banking software platform. Owning predictive-model lifecycles and partnering with product, engineering, and MLOps teams.
Senior Data Scientist – AI, ML, FinTech
Data Scientist entwickelt produktive Machine-Learning-Modelle für Europace, Deutschlands Plattform für Ratenkredite. Verantwortung von der Modellidee bis zum Deployment und zur Optimierung.
Staff Data Scientist
Staff Data Scientist developing advanced machine-learning models for MindBridge Analytics’ enterprise datasets. Leading experimentation, production deployment, technical standards and mentorship.
Manager, Data Science – Credit & Fraud Risk Modeling
Data science manager building production credit and fraud risk models for Kafene's lease-to-own fintech platform. Shaping approvals, credit limits, default predictions, and loss forecasts.
Senior Data Scientist
Senior Data Scientist building statistical models for Paramount’s DTC streaming business. Optimizing pricing, forecasting growth, and informing content and marketing investment decisions.
Senior Data Science Engineer
Senior Data Science Engineer building LLM and classical ML risk-detection systems for LegitScript’s safer internet and payment platform. Owning data pipelines, production deployment, and model business impact.