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Chase · 1 month ago

Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research

237 Park Ave, New York, NY, 10017, US

Full-time

Onsite

Mid, Senior Level

$104K/yr - $165K/yr

4+ years exp

Chase is launching Morgan Health, a new business unit focused on improving the quality, equity, and affordability of employer-sponsored health care in the United States. As a Senior Associate of Data Science & Research, you will utilize your background in statistics and healthcare data analytics to support initiatives and empower data-driven decisions across the industry.

BankingFinancial Services

Responsibilities

Translate business and research questions from stakeholders across Morgan Health into data-driven analytics approaches that balance precision with timeliness

Proactively identify relevant data sources (including insurance claims, biometrics results, survey results, public or licensed data) and understand their context and limitations

Implement creative and efficient solutions to clean, join, and analyze data within Python and SQL while adhering to HIPAA and firm-wide data use guidelines

Collaborate with other data scientists and engineers to ensure code is well-documented, high-quality, efficient, scalable, and automated (when applicable)

Carefully review and validate analysis findings and participate in team code reviews to ensure data quality and integrity

Propose novel research questions or methodologies that 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

Clearly communicate analytics concepts and insights with non-technical teammates and stakeholders

Qualification

PythonSQLData visualizationApplied statisticsHealth care data analyticsRTableauData wranglingCritical reasoningProblem-solvingCommunication skillsTeam collaboration

Required

Bachelor's or Master's degree in a quantitative field including, but not limited to statistics, engineering, math, analytics, computer science, or economics

4+ years of professional experience in hands-on analytics work, including building and leveraging relational database structures, object-oriented coding, data wrangling, data visualization, and code versioning tools (e.g., Python, R; ggplot, seaborn, Tableau; git)

Strong critical reasoning and coding skills, with a problem-solving mindset that anticipates edge cases, questions assumptions, and designs creative solutions that account for nuances in the data

Experience working with real-world health care data to produce clear analytical insights

Experience in applied statistics, including controlled regressions and hypothesis testing

Proven ability to successfully multitask effectively and deliver accurate results with limited supervision

Excellent verbal communication skills and experience creating analytics presentations for both technical and non-technical stakeholders with a strong attention to detail

Team-oriented attitude and proven collaborator

Preferred

Master's degree or PhD with a focus on health care analytics, health services research, data science, statistics, or engineering

Health care specific experience in a payer, provider, or research setting that actively used medical and pharmaceutical claims data, including standard groupers, common data transformations, and population health metrics

Experience applying more advanced applied statistical concepts, including propensity score matching, difference-in-differences, instrumental variables, and other causal inference methods in a real-world setting

Experience working with unstructured data and/or machine learning techniques

Extensive content knowledge of U.S. healthcare system, including understanding common business questions about the commercially insured population, value-based care, and point solutions serving the employer-sponsored insurance market

Peer-reviewed research outputs in fields including applied statistics, health care analytics, informatics, and medicine