[Hiring] Sr. Data Scientist @Cardinal Health

Role Description

The Sr. Data Scientist in Specialty Networks Solutions leads the design, hardening, and deployment of high-impact real-world data (RWD) products and advanced analytical solutions for biopharmaceutical partners. Acting at the intersection of clinical informatics, data engineering, and biopharma client strategy, this individual is directly responsible for ensuring clinical data quality, optimizing data availability, and unlocking measurable commercial and clinical value for life sciences clients. The role requires deep domain expertise across healthcare data ecosystems, sophisticated quantitative and machine learning capabilities, and a rigorous engineering approach to transforming prototype analyses into resilient, production-grade data products.

Responsibilities

• Data Governance & Standards
  • Define governed definitions for the highest-priority derived variables.
  • Set Quality Control rules for each transformation step in datasets, profile the raw and transformed data hands-on, and trace anomalies to root cause.
  • Document the pipeline and data model, including the decision logic at each transformation step.
  • Harden data assets and analytical pipelines to ensure production reliability, regulatory defensibility, and reproducibility across client-facing deliverables.
• Engineering Partnership
  • Assess engineering delivery meets client and quality requirements, and close gaps (e.g., order data not flowing into deliverables).
  • Run a shared request queue for questions from clients and internal analysts, and track each item with engineering.
  • Identify key growth areas from the market to enhance data pipelines both in structured and unstructured data sources.
  • Prioritize workflows to deliver more value through product generation.
  • Accelerate data accessibility by standardizing common data models (e.g., OMOP, clinical registries) and enabling rapid extraction of fit-for-purpose real-world evidence (RWE).
• Client & Strategic Partnership
  • Join discovery conversations alongside the delivery team, and build prototype dashboards on real data (e.g., a patient journey) as the specification for engineering.
  • Facilitate listening sessions with key biopharmaceutical partner clients to understand existing and future challenges.
  • Present analytical findings, data methodologies, and strategic recommendations to technical and non-technical audiences, including senior client stakeholders.

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 electronic health records (EHR), medical and pharmacy claims, specialty pharmacy data, laboratory and genomic data, and patient identity/tokenization solutions such as Datavant.
• Advanced proficiency in SQL and at least one statistical or programming language such as R or Python, with experience working in modern data platforms including Databricks.
• Strong understanding of healthcare data models, clinical concepts, patient journeys, provider and drug mapping, and real-world evidence methodologies.
• Proven experience identifying, investigating, and resolving complex data quality and system-level issues through rigorous analytical and root-cause analysis techniques.
• Experience translating business and client requirements into technical specifications and collaborating with engineering teams to deliver scalable data products.
• Demonstrated success influencing stakeholders and driving outcomes in highly matrixed, cross-functional organizations.
• Excellent communication and consulting skills, with the ability to effectively present complex analytical concepts to technical and executive audiences.

Requirements

• This position is remote, based anywhere within the United States. Candidates must be able to work within the EST or CST business hours, as needed.

Benefits

• Medical, dental and vision coverage.
• Paid time off plan.
• Health savings account (HSA).
• 401k savings plan.
• Access to wages before pay day with myFlexPay.
• Flexible spending accounts (FSAs).
• Short- and long-term disability coverage.
• Work-Life resources.
• Paid parental leave.
• Healthy lifestyle programs.