Morgan Health - Data Science & Research - Senior Associate

JPMorgan Chase & Co.•New York, NY

3d•$109,250 - $165,000

About The Position

Morgan Health seeks a Senior Associate on its Data Science & Research team. Morgan Health works to improve the quality, opportunity, and affordability of employer-sponsored health care in the United States through investments, collaborations with the JPMorgan Chase Benefits team, engagement with market leaders, data analytics and research, and policy advocacy. The team is headquartered in Washington, DC, with members also based in New York City and Boston. The Senior Associate will query, compile, manipulate, and synthesize health-related data, including medical and pharmacy claims, survey data, and biometrics. The role involves developing creative solutions and novel methodologies so Morgan Health and its business partners can make data-driven decisions and generate insights for the employer-sponsored insurance industry. The successful candidate will be a self-motivated problem solver with strong analytical and communication skills who works effectively with teams and connects insights to business objectives.

Requirements

Bachelor’s or master’s degree in a quantitative field, including statistics, engineering, mathematics, analytics, computer science, public health, operations research, or economics.
At least 4 years of professional hands-on analytics experience, including relational database structures, data wrangling, coding languages, analytical tools, and data visualization tools such as SQL, Python, R, ggplot, seaborn, or Tableau.
Understanding of applied statistics, including controlled regressions and propensity-score matching.
Ability to multitask effectively and deliver results with limited supervision.
Experience creating analytics presentations with strong attention to detail.
Excellent verbal and written communication skills, particularly when presenting analytical results to non-technical stakeholders.
Team-oriented attitude and demonstrated ability to collaborate.
Authorization to work in the United States; employment-based immigration sponsorship and related immigration assistance are not offered.

Nice To Haves

Health care experience, ideally in a payer or provider setting.
Experience 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 knowledge of the U.S. health care system, including common business questions about commercially insured populations, value-based care, and point solutions in the employer-sponsored insurance market.
Master’s degree or PhD focused on health care analytics, operations research, data science, statistics, or engineering.
Peer-reviewed research outputs in applied statistics, health care analytics, informatics, operations, or medicine.

Responsibilities

Review business needs across Morgan Health and translate them into data-driven analytics projects, implementing scalable or automated approaches where applicable.
Develop efficient solutions to clean, join, and analyze data while following HIPAA and firm-wide data-use guidelines.
Identify relevant sources such as insurance claims, biometrics, survey results, and public or licensed data; understand their context and limitations; and investigate and resolve data-quality issues.
Collaborate with data scientists and engineers to build well-documented, high-quality, efficient code, data architecture, and data transformations in Python and SQL.
Propose research questions or methodologies relevant to employer-sponsored insurance.
Prepare external research briefs and papers that communicate insights to employers and the broader health care industry.
Review and validate analytical findings to ensure data quality and integrity.
Manage stakeholder relationships and balance multiple projects in a matrixed environment.
Communicate analytics concepts and insights to non-technical colleagues and stakeholders.

Benefits

Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
Comprehensive health care coverage.
On-site health and wellness centers.
Retirement savings plan.
Backup childcare.
Tuition reimbursement.
Mental health support.
Financial coaching.
Reasonable accommodations for religious practices and beliefs, and mental health or physical disability needs.