
Director – Real-world Data and Healthcare Analytics Lead
Posted 8 hours ago

Posted 8 hours ago
This is a fully remote position, open to applicants in United States.
• Oversee the creation of real-world evidence analyses utilizing administrative claims, pharmacy, and medical data.
• Specify cohorts, enrollment criteria, index dates, lookback logic, code sets, and perform assessments of data sources tailored for specific purposes.
• Personally develop and validate intricate analyses, transforming raw real-world data into analysis-ready datasets and results.
• Establish and enforce standards for coding, quality control, validation, documentation, and reproducibility.
• Conduct peer reviews of analyses within the team and provide mentorship and guidance to research scientists.
• Offer expert insights on real-world data, artificial intelligence, and necessary infrastructure enhancements.
• Create AI-powered workflows, including LLM-assisted programming, agentic AI, automated quality control, and summary evidence generation.
• Convert real-world data sources into datasets ready for analysis.
• Collaborate with Medical, Legal, and Regulatory teams to communicate evidence effectively.
• Ensure analyses comply with privacy and data governance regulations, including HIPAA, de-identification, small-cell suppression, and data use agreements.
• Formulate analytics strategies utilizing knowledge of disease states, US healthcare systems, and research methodologies.
• Act as a strategic collaborator with cross-functional medical, technology, and commercial teams.
• Draft reports, abstracts, posters, and manuscripts; develop data visualizations.
• Present study findings through dashboards, reports, manuscripts, oral presentations, and engage stakeholders.
• Coordinate analytics initiatives with business partners and external collaborators to adhere to project timelines, budgets, and scopes.
• Advanced degree (PharmD, MD, PhD, MS, MPH) in a quantitative or health-related discipline (e.g., economics, epidemiology, statistics, actuarial science).
• Extensive and relevant experience in real-world evidence analytics: 8+ years with a master's degree or 5+ years with a doctorate.
• Over 5 years of practical experience working with US administrative medical and pharmacy claims data.
• Advanced expertise in statistical programming languages and software, including SQL and R or Python.
• Significant prior experience in data and analytics within the pharmaceutical, managed care, or related healthcare sectors.
• Familiarity with medical and pharmacy classifications, including NDC, ICD, CPT, and HCPCS.
• Clinical training or background.
• Proficiency in creating data visualizations and dashboards.
• Proven ability to influence and collaborate effectively within and across cross-functional teams, primarily operating in US time zones.
• Company bonus based on individual and company performance.
• Company-sponsored 401(k) plan.
• Pension plan.
• Vacation benefits.
• Comprehensive medical, dental, vision, and prescription drug coverage.
• Flexible benefits, including healthcare and/or dependent care flexible spending accounts.
• Life insurance and death benefits.
• Time off and leave of absence benefits.
• Well-being benefits, including an employee assistance program, fitness benefits, and various employee clubs and activities.
TD
IntegriChain
Jerry
Jerry
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