Senior Data Science & Health Research Associate

Fairygodboss; Washington (District of Columbia); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Senior Associate to join the Morgan Health data science and research team in the United States. The role focuses on querying, compiling, and synthesizing large health-related datasets to drive data-driven decisions for employer-sponsored insurance.

You will work with Python and SQL, design novel methodologies, and collaborate across teams to deliver high-quality analyses and externally-facing briefs, while upholding HIPAA and data-use guidelines.

Qualifications

• 4+ years of professional analytics experience with data wrangling and visualization tools.
• Strong skills in SQL, Python and R for data manipulation and analysis.
• Solid understanding of applied statistics and model interpretation.
• Proven ability to communicate insights to non-technical stakeholders.

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 address data quality issues across datasets.
• Collaborate with data scientists and engineers to produce high-quality code and data transformations.
• Propose novel research questions and prepare externally-facing briefs.

Skills

Statistical analysis

Data visualization

Communication

Team collaboration

Education

Bachelor's or Master's degree in a quantitative field

Tools

SQL

Python

R

Job description

JPMorgan Chase & Co. is seeking a Senior Associate to join the Morgan Health data science and research team in the United States. The role focuses on querying, compiling, and synthesizing large health-related datasets to drive data-driven decisions for employer-sponsored insurance.

You will work with Python and SQL, design novel methodologies, and collaborate across teams to deliver high-quality analyses and externally-facing briefs, while upholding HIPAA and data-use guidelines.