Senior Data Scientist, Specialty Networks Solutions

Cardinal Health

. Lead the design, hardening, and deployment of high-impact real-world data products and advanced analytical solutions for biopharmaceutical partners .

Posted 11/9/2026full-timeRemote • United StatesSenior💰 $125,300 - $178,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and deploying advanced analytical solutions for biopharmaceutical partners, with a strong focus on healthcare data models, data quality assurance, and effective communication of analytical findings to diverse audiences.

Highest-signal resume keywords

Data ScienceAdvanced AnalyticsSQL ProficiencyHealthcare Data ExpertiseStakeholder Influence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingStatistical ProgrammingRoot-Cause AnalysisData Quality ControlDataset TransformationAnalytical Pipeline DevelopmentPrototype Dashboard CreationReal-World Evidence MethodologiesElectronic Health Records (EHR)Patient Identity Solutions

Soft Skills

Excellent CommunicationConsulting SkillsStakeholder EngagementCross-Functional CollaborationProblem-Solving

Tools & Technologies

DatabricksRPythonDatavantOMOP

Industry Keywords

BiopharmaceuticalsHealthcare DataClinical ConceptsPatient JourneysData Governance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead the design, hardening, and deployment of high-impact real-world data products and advanced analytical solutions for biopharmaceutical partners
Define governed definitions for high-priority derived variables
Set quality control rules for dataset transformation steps, profile raw and transformed data, and trace anomalies to root cause
Document pipelines and data models, including decision logic at each transformation step
Harden data assets and analytical pipelines for production reliability, regulatory defensibility, and reproducibility
Assess engineering delivery against client and quality requirements and close gaps
Run a shared request queue for client and internal analyst questions and track items with engineering
Identify market growth areas to enhance structured and unstructured data pipelines
Prioritize workflows to deliver more value through product generation
Standardize common data models such as OMOP and clinical registries to accelerate real-world evidence extraction
Join discovery conversations and build prototype dashboards on real data as engineering specifications
Facilitate listening sessions with biopharmaceutical partner clients
Present analytical findings, data methodologies, and strategic recommendations to technical and non-technical audiences, including senior client stakeholders

Requirements

What you’ll need

8+ years of data science, advanced analytics, healthcare data, or real-world evidence, including experience supporting biopharmaceutical clients
Bachelor's degree in related field, or equivalent work experience, required
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
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
Ability to work within EST or CST business hours, as needed

Benefits

Comp & perks

Bonus eligible
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