hackajob · 1 week ago
Morgan Health - Health Care Innovation - Senior Associate of Data Science & Research
New York, NY
Full-time
Onsite
Mid, Senior Level
$104K/yr - $165K/yr
4+ years expHackajob is collaborating with J.P. Morgan to connect exceptional tech professionals for the role of Senior Associate of Data Science & Research within Morgan Health. This role involves utilizing statistics, programming, and health care data analytics to support initiatives aimed at improving employer-sponsored health care through data-driven insights and innovative methodologies.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
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
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
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
hackajob
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$33MKey Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M
Leadership Team
Mark Chaffey
CEO
Phil Kell
VP - Marketplace
Recent News
2025-10-23
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2025-09-12
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