Senior Data Scientist — Real-World Evidence (Remote)

Cardinal Health, Inc.; Helena (MT); 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

Flex spending accounts (FSAs)

Disability coverage

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health, Inc. is seeking a Senior Data Scientist for Specialty Networks Solutions to design and deploy high-impact real-world data products and analytics for biopharma clients.

You will work at the intersection of clinical informatics, data engineering, and client strategy, ensuring data quality and unlocking measurable value from healthcare datasets, including EHRs, claims, and lab data, in a production-grade environment.

Qualifications

• 8+ years of data science, advanced analytics, healthcare data, or real‑world evidence, including experience supporting biopharmaceutical client, preferred.
• Bachelor's degree in related field, or equivalent work experience, required
• Advanced degree in measurement, statistics, epidemiology, or a related field, preferred
• Demonstrated expertise working with complex healthcare datasets, including EHR, claims, specialty data, lab and genomic data, and patient identity/tokenization solutions such as Datavant.
• Advanced proficiency in SQL and at least one statistical/programming language such as R or Python, with experience in Databricks.
• Strong understanding of healthcare data models, patient journeys, provider/drug mapping, and real‑world methodologies.
• Proven experience identifying and resolving data quality and system-level issues through rigorous analysis.
• Experience translating business requirements into technical specs and collaborating with engineering to deliver scalable data products.
• Demonstrated success influencing stakeholders in matrixed organizations.
• Excellent communication and consulting skills for technical and executive audiences.

Responsibilities

• Data Governance & Standards: Define governed definitions for high-priority derived variables.
• Quality Control: Set QC rules for transformations, profile data, and trace anomalies.
• Document the pipeline and data model, including decision logic at each step.
• Harden data assets and pipelines for production reliability, regulatory defensibility, and reproducibility across client deliverables.
• Engineering Partnership: Assess delivery meets requirements and close gaps in data flows.
• Run a shared request queue for client questions and track items with engineering.
• Identify growth areas from the market to enhance data pipelines in structured and unstructured data.
• Prioritize workflows to deliver more value through product generation.
• Accelerate data accessibility by standardizing data models (e.g., OMOP) and enabling rapid extraction of RWE.

Skills

Data science

Healthcare data

Real-world evidence

SQL

Python

R

Databricks

EHR data

Claims data

Education

Bachelor's degree

Advanced degree (preferred)

Tools

Datavant

Databricks

Job description

Cardinal Health, Inc. is seeking a Senior Data Scientist for Specialty Networks Solutions to design and deploy high-impact real-world data products and analytics for biopharma clients.

You will work at the intersection of clinical informatics, data engineering, and client strategy, ensuring data quality and unlocking measurable value from healthcare datasets, including EHRs, claims, and lab data, in a production-grade environment.