Senior Data Scientist, Specialty Networks (Remote US)

Cardinal Health, Inc.; Juneau (AK); Remote; USD 125,000 - 179,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off plan

Health savings account (HSA)

401k savings plan

Access to wages before pay day with my

Flexible spending accounts (FSAs)

Short- and long-term disability

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health is seeking a Sr. Data Scientist in Specialty Networks Solutions to lead the design, hardening, and deployment of high-impact real-world data products and analytical solutions for biopharma partners.

Role requires deep healthcare data domain expertise (EHR, claims, lab data) and strong machine learning, with an engineering approach to production-grade data products. Remote work available across the United States.

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 (preferred).
• Experience with complex healthcare datasets: EHR, claims, specialty data, labs, genomic data, and Datavant.
• Proficiency in SQL and at least one language (R or Python); experience with Databricks.

Responsibilities

• Define governed definitions for top-derived variables.
• Set QC rules for each data transformation step and trace anomalies to root cause.
• Document data pipeline and transformation decision logic.
• Harden data assets and analytical pipelines for production reliability and regulatory defensibility.
• Join discovery conversations and build prototype dashboards on real data.

Skills

SQL

R/Python

Databricks

Healthcare data

Stakeholder engagement

Education

Bachelor's degree

Advanced degree (statistics/epidemiology)

Tools

Databricks

Job description

Cardinal Health is seeking a Sr. Data Scientist in Specialty Networks Solutions to lead the design, hardening, and deployment of high-impact real-world data products and analytical solutions for biopharma partners.

Role requires deep healthcare data domain expertise (EHR, claims, lab data) and strong machine learning, with an engineering approach to production-grade data products. Remote work available across the United States.