Senior Health Data Scientist & Research

JPMorganChase

Washington (District of Columbia)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

JPMorganChase's Morgan Health team seeks a Senior Associate for Data Science & Research in Washington, DC. You will query and synthesize large health data, design novel methodologies, and drive data-driven decisions for employer-sponsored insurance in collaboration with business partners.

You will work with data scientists and engineers to produce scalable analytics and communicate insights to non-technical stakeholders, ensuring data quality and integrity across projects.

Qualifications

  • Bachelor's or Master's in statistics, engineering, analytics, CS, economics, or related field.
  • 4+ years of hands-on analytics experience with SQL, Python, R, and data visualization tools.
  • Understanding of applied statistics and propensity-score matching.
  • Proven ability to multitask and deliver with limited supervision.
  • Experience presenting analytics to non-technical stakeholders.
  • Team-oriented collaborator with strong communication.

Responsibilities

  • Translate business needs into data-driven analytics projects and scalable processes.
  • Clean, join, and analyze data while following HIPAA and data-use guidelines.
  • Identify data sources and investigate data quality issues.
  • Collaborate with data scientists and engineers to build well-documented code and data transformations in Python and SQL.
  • Propose novel research questions relevant to employer-sponsored insurance.
  • Compile externally-facing research briefs and papers with insights for employers.

Skills

SQL
Python
R
Data Visualization
Communication
Teamwork

Education

Bachelor's or Master's degree in quantitative field

Tools

ggplot
seaborn
Tableau
SQL databases

Job description

JPMorganChase's Morgan Health team seeks a Senior Associate for Data Science & Research in Washington, DC. You will query and synthesize large health data, design novel methodologies, and drive data-driven decisions for employer-sponsored insurance in collaboration with business partners.

You will work with data scientists and engineers to produce scalable analytics and communicate insights to non-technical stakeholders, ensuring data quality and integrity across projects.

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