Data Scientist - Research - Grant Funded

Position Overview

Scripps Health Administrative Services supports five hospital campuses, 31 outpatient centers, clinics, emergency rooms, urgent care sites, and serves 17,000 employees, over 3,000 affiliated physicians, and 2,000 volunteers. This full-time, hybrid, grant-funded position (through April 30, 2030) is located in San Diego. Join the Scripps Health team to work alongside passionate caregivers and provide patient-centered healthcare while building a rewarding career with one of the nation’s most respected healthcare organizations.

Key Responsibilities

• Analyze and interpret large amounts of unstructured data to support federally supported research projects and grant applications.
• Synthesize and communicate analytical results to facilitate data-driven decision making.
• Partner with both internal and external constituents to understand requirements, plan projects, and produce actionable insights.
• Design data modeling processes, develop algorithms and predictive models to extract key information.
• Collaborate on manuscript development and the dissemination of research findings.

Required Qualifications

• Bachelor's degree.
• Experience with various healthcare data sources (medical claims, authorizations, pharmacy, provider, membership).
• Proven experience in statistical modeling and interpreting complex data.
• Experience analyzing medical expenses, utilization trends, RAF Scores, comorbidities, disease burden, and healthcare quality measures.
• Excellent critical and analytical thinking, strong customer service, and excellent written and verbal communication skills.
• Proficiency in R, Python, or SAS programming.
• Intermediate knowledge of SQL, ETL processes, data modeling, and reporting technologies.
• Intermediate knowledge of Power BI or Tableau.
• Ability to explain complex concepts to team members and leadership.
• Capable of working both independently and collaboratively within a team.

Preferred Qualifications

• PhD in a related field (Data Science, Quantitative, Clinical, or Engineering).
• Experience in AI and multi-modal data analysis.
• Proven track record in predictive modeling for clinical intelligence.
• Experience working with and applying for federally funded research studies.
• Prior experience with Epic data structures and reporting environments.
• Expertise in leading analytics for value-based populations.
• Experience in market intelligence and financial projections.

Benefits & Perks

• Compensation: $51.66-$74.92/hour.
• Grant funded role through April 30, 2030.
• Hybrid work environment.
• Access to transitional and professional development programs.
• Work for a Great Place to Work Certified employer recognized for excellence in diversity and overall employee satisfaction.