Senior Data Scientist, Real-World Evidence & RWD Platforms

Cardinal Health, Inc.; Field (NM); On-site; USD 120,000 - 180,000; Full time

Job summary

Cardinal Health, Inc. is seeking a Sr. Data Scientist in Specialty Networks Solutions to lead the design and deployment of real-world data products and advanced analytics for biopharma clients.

You will ensure data quality, optimize availability, and drive measurable commercial and clinical value across healthcare data ecosystems. The role spans clinical informatics, data engineering, and client strategy, requiring expertise in EHRs, claims, lab data, and genomic data, with a strong engineering

Qualifications

• 8+ years of data science, advanced analytics, healthcare data, or real-world evidence.
• Bachelor's degree in related field, or equivalent work experience.
• Advanced degree in measurement, statistics, epidemiology, or related field.
• Experience with complex healthcare datasets (EHR, claims, lab, genomic data).
• SQL and at least one language (R or Python); Databricks or modern data platforms.
• Understanding of healthcare data models and real-world evidence methodologies.
• Proven ability to identify and resolve data quality and system issues.
• Ability to translate business requirements into technical specifications.

Responsibilities

• Data governance and standards; define high-priority variables and QC rules.
• Harden data assets and data pipelines for production reliability and regulatory defensibility.
• Collaborate with engineering to ensure data delivery meets client requirements.
• Engage with clients to present analyses, methodologies, and strategic recommendations.

Skills

Data science

Advanced analytics

Healthcare data

Real-world evidence

SQL

R/Python

Databricks

Data quality

Technical specification

Education

Bachelor's degree in related field

Advanced degree in measurement/statistics/epidemiology

Tools

Databricks

Job description

Cardinal Health, Inc. is seeking a Sr. Data Scientist in Specialty Networks Solutions to lead the design and deployment of real-world data products and advanced analytics for biopharma clients.

You will ensure data quality, optimize availability, and drive measurable commercial and clinical value across healthcare data ecosystems. The role spans clinical informatics, data engineering, and client strategy, requiring expertise in EHRs, claims, lab data, and genomic data, with a strong engineering