Senior HEOR Consultant

Role Overview

• Create and develop detailed project plans with clear guidance, task assignments, and required timelines.
• Leverage real-world data and statistical modeling to recommend, test, validate, and track supporting health economics and outcomes research, return on investment (ROI), and healthcare benefit models for client businesses.
• Analyze complex claims and healthcare data sets to identify trends, patterns, and insights.
• Create and present reports, dashboards, and visualizations to communicate findings to stakeholders.
• Support Health Technology Assessment of point solutions, programs, and initiatives.
• Codevelop and implement data collection strategies, design, and maintain databases.
• Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity.
• Stay up to date with industry trends and best practices in data analysis.
• Use professional judgment to troubleshoot suboptimal solutions and data anomalies.
• Build predictive models to accurately analyze potential outcomes and cost-savings for a given initiative(s) or event(s).
• Build and document analytical pipelines in SQL, Python and R.
• Develop and maintain effective cross-functional working relationships to ensure accurate, timely teamwork and project execution with assigned teams.
• Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse internal and external audiences.
• Identify opportunities for process improvement and efficiency.
• Build and maintain client relationships.
• Support the development and training of team members and colleagues.

Requirements

• Bachelor’s degree (BS) in Statistics, Data Science, Mathematics, Actuarial Science, or similar.
• 5+ years’ experience as a Data Analyst or Data Scientist in the health sector conducting statistical analysis and reports on healthcare or claims data.
• 5+ years of hands-on experience with structured query languages and statistical computing (e.g., R, SQL, Python, SAS).
• Knowledge of healthcare/medical economics data such as hospital/physician /ASC claims, utilization data, and healthcare industry coding systems ICD-10, CPT/HCPCS, Revenue Codes, MS/APR-DRGs, and APC.
• Diverse experience with healthcare databases and data sources (claims, encounters, labs, EMR, etc.).
• Experience with machine learning techniques.
• Experience conducting health economics studies, using propensity score matching, and designing and executing ROI analyses.
• Experience developing medical and pharmacy utilization reporting, establishing utilization trends, and identifying meaningful and actionable observations.

Tech Stack

• Python
• SQL

Benefits

• Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
• Financial Benefits : ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
• Mental Health & Wellness : Free Mental Health & Enhanced Advocacy Services
• Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more.