hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. JOB DESCRIPTION In 2021, JPMorgan Chase launched Morgan Health, a new business unit focused on improving the quality, equity, and affordability of employer-sponsored health care in the United States. Morgan Health pursues this strategy through investments, collaborations with the JPMC Benefits team, engagements with other market leaders, sophisticated data analytics and research, and policy advocacy. Morgan Health is headquartered in Washington, DC, with members of the team 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 of Data Science Research within Morgan Health, you will utilize their background in statistics, programming, and health care data analytics to support initiatives across Morgan Health. The ideal candidate will be passionate about healthcare transformation and empowering data-driven decisions across the industry. You will be responsible for querying, compiling, manipulating, and synthesizing large quantities of health-related data – including medical and pharmacy claims, survey data, and biometrics. You will design creative solutions and novel methodologies that enable Morgan Health and its business partners to bring new insights to employer-sponsored insurance. Beyond strong analytics and communication skills, the ideal candidate will be a self-motivated problem-solver who enjoys working in teams and creates value by aligning data-driven insights with business objectives. Job 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 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, 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 Qualifications, Capabilities, and Skills 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 ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase Co. is an Equal Opportunity Employer, including Disability/Veterans ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
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