Risk Strategies Company
Data Scientist, Health Economics Outcomes Research
Risk Strategies Company, Little Ferry, New Jersey, us, 07643
Risk Strategies Consulting (RSC) is looking for an expert who can support our clients’ healthcare initiatives through data-driven analytics solutions and emerging data science methods. To succeed in this role, you should not only possess strong statistical experience and an analytical mindset but also be able to effectively communicate strategy, methodologies, and data-oriented results to internal and external key stakeholders. The candidate must have a proactive approach to work, a problem-solving aptitude, and a willingness to learn and adapt to emerging industry practices. The candidate will be motivated, well-organized, and a self-starter who thrives in a fast-paced and dynamic work environment. Your innovative work will directly impact our clients’ financial strategies and decisions.Responsibilities
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.Requirements & Qualifications
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.
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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.Requirements & Qualifications
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.
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