Senior Data Scientist, Real-World Evidence (Remote)

HITEC; United States; Remote; USD 125,000 - 179,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

PTO

Health savings account

401k savings plan

Flexible spending accounts

Disability coverage

Work-Life resources

Job summary

Cardinal Health is seeking a Sr. Data Scientist in Specialty Networks Solutions to design and deploy high-impact real-world data products. You will ensure clinical data quality, optimize data availability, and drive measurable value for life sciences clients across healthcare data ecosystems.

You will partner with engineering, client teams, and senior stakeholders to translate requirements into scalable data products using advanced analytics and machine learning.

Qualifications

• 8+ years of data science, analytics, healthcare data, or real-world evidence, with biopharma client exposure preferred.
• Bachelor’s degree in a related field; an advanced degree is preferred.
• Strong SQL and at least one of R or Python; experience with Databricks and healthcare data models.

Responsibilities

• Data Governance & Standards: define high-priority variables; set QC rules; document pipelines and data models.
• Engineering Partnership: assess delivery quality; manage client questions; identify growth in data pipelines.
• Client & Strategic Partnership: join discovery, prototype dashboards on real data, present findings to stakeholders.

Skills

Data science

Healthcare data

SQL

R

Python

Databricks

Communication

Education

Bachelor's degree in related field

Advanced degree in statistics/epidemiology/measurement

Tools

Datavant

Databricks

SQL

Job description

Cardinal Health is seeking a Sr. Data Scientist in Specialty Networks Solutions to design and deploy high-impact real-world data products. You will ensure clinical data quality, optimize data availability, and drive measurable value for life sciences clients across healthcare data ecosystems.

You will partner with engineering, client teams, and senior stakeholders to translate requirements into scalable data products using advanced analytics and machine learning.