Morgan Health - Data Science & Research - Senior Associate

JPMorgan Chase & Co.•Washington, DC

5d•$109,250 - $165,000

About The Position

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. 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.

Requirements

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
Authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

Nice To Haves

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 business questions about the commercially insured population, value-based care, and point solutions serving the employer-sponsored insurance market
Master’s degree or PhD with a focus on health care analytics, operations research, data science, statistics or engineering
Peer-reviewed research outputs in fields including applied statistics, health care analytics, informatics, operations, and medicine

Responsibilities

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