Morgan Health - Data Science & Research - Senior Associate

We are seeking a Senior Associate to join our Morgan Health team! Morgan Health is focused on improving the quality, equity, and affordability of employer-sponsored health care in the United States. We pursue this strategy through investments, collaborations with the JPMorgan Chase Benefits team, engagement with other market leaders, sophisticated data analytics and research, and policy advocacy. Morgan Health is headquartered in Washington, DC, with team members also based in New York City and Boston. To learn more about our strategy and latest developments, please visit: www.morganhealth.com . As a Senior Associate - Data Science & Research in Morgan Health, you will be responsible for querying, compiling, manipulating, and synthesizing large volumes of health-related data—including medical and pharmacy claims, survey data, and biometrics. In this role, you will design creative solutions and novel methodologies that enable Morgan Health and its business partners to make data-driven decisions and generate new insights for the employer-sponsored insurance industry. You are a self-motivated problem solver with strong analytics and communication skills who enjoys working in teams and creates value by aligning insights with business objectives.

Work across Morgan Health to review business needs and translate them into data-driven analytics projects, implementing approaches to scale or automate processes where applicable Implement creative and efficient solutions to clean, join, and analyze data while adhering to HIPAA and firm-wide data use guidelines Identify relevant data sources (including insurance claims, biometrics results, survey results, public or licensed data), understand their context and limitations, and proactively investigate and solve data quality issues Collaborate with other data scientists and engineers to build well-documented, high-quality and efficient code, data architecture, and data transformations in Python and SQL Propose novel research questions or methodologies to solve questions relevant to employer-sponsored insurance Compile externally-facing research briefs and papers that showcase insights relevant to other employers and the broader health care industry Review and validate analysis findings to ensure data quality and integrity Manage relationships with key stakeholders to balance multiple projects within a matrixed environment Communicate analytics concepts and insights with non-technical teammates and stakeholders Required Qualifications, Capabilities, and Skills Bachelor’s or Master's degree in a quantitative field including, but not limited to statistics, engineering, math, analytics, computer science, public health, operations research, or economics 4+ years of professional experience in hands-on analytics work, including relational database structures, data wrangling, common coding languages, and analytical and data visualization tools (e.g. SQL, Python, R; ggplot, seaborn, Tableau) Understanding of applied statistics, including controlled regressions and propensity-score matching Proven ability to successfully multitask effectively and deliver results with limited supervision Experience creating analytics presentations with strong attention to detail Excellent verbal and written communication skills, especially when delivering analytical results to non-technical stakeholders Team-oriented attitude and proven collaborator Preferred Qualifications, Capabilities, and Skills Health care experience, ideally in a payer or provider setting Experience working with medical and pharmaceutical claims data, including standard groupers, common data transformations, and population health metrics Experience with survey research methods and familiarity with qualitative or unstructured data Experience with machine learning techniques including clustering, decision trees, and predictive modeling Extensive content knowledge of U.S. healthcare system, including understanding common