Execute and support 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
Conduct hypothesis testing demonstrating and applying a robust understanding of non-random treatment assignment and appropriate control group selection
Collaborate on the translation of business questions into a study design or experiment
Analyze complex claims and healthcare data sets to identify trends, patterns, and insights
Design and present reports, dashboards, tables, and figures that clearly communicate concise findings and business strategy recommendations based on completed projects 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 Biostatistics, Data Science, Mathematics, Actuarial Science, Economics, or similar
2+ years’ experience as a Data Analyst or Data Scientist in the health sector conducting statistical analysis and reports on healthcare or claims data
2+ 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.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical modelinghypothesis testingdata analysispredictive modelingSQLPythonRmachine learningdata collection strategiesanalytical pipelines

Soft Skills

collaborationcommunicationproblem-solvingproject managementrelationship buildingteamworkprocess improvementpresentation skillsattention to detailprofessional judgment