Cardinal Health
Overview
Data Science contributes to Cardinal Health by applying data-driven methodologies to identify, analyze and present insights that drive business decisions and opportunities. The Data & Analytics Function oversees the analytics lifecycle, manages analytic data platforms, and designs and implements reporting/business intelligence solutions and advanced quantitative modeling. Our AI CoE focuses on leveraging data to create innovative healthcare solutions that improve patient outcomes and streamline operations. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy, delivering impactful solutions that drive real-world change. Responsibilities
Lead the development of innovative AI solutions: design, implement, and scale sophisticated AI solutions addressing key healthcare challenges using Machine Learning, Generative AI, and RAG technologies.
Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications.
Explore and leverage Generative AI technologies, including Large Language Models (LLMs) for summarization, generation, classification and extraction.
Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with large repositories of healthcare and business data, ensuring accurate outputs.
Shape AI strategy: collaborate with stakeholders to translate needs into actionable AI-driven solutions.
Champion AI within Cardinal Health, guiding the technology roadmap and aligning with business objectives.
Mentor a team of Data Scientists and ML Engineers, providing technical guidance and fostering a collaborative environment for continuous learning.
Promote an AI-driven culture and data-informed decision making to improve outcomes and patient care.
Qualifications
8-12 years of experience with at least 4 years in data science, with a track record of deploying complex AI/ML solutions (preferred).
Bachelor's degree in a related field or equivalent work experience (preferred).
GenAI Proficiency: deep understanding of Generative AI concepts (LLMs, RAG, embeddings, prompting, vector databases) and evaluating GenAI outputs without ground truth.
Experience building production-ready Generative AI applications involving RAGs, LLMs, vector databases and embeddings models.
Extensive knowledge of healthcare data (clinical, demographics, claims) with understanding of HIPAA and related regulations (preferred).
Experience with cloud platforms (e.g., Google Cloud Platform) for data processing, model training, evaluation, monitoring, deployment and support (preferred).
Proven ability to lead data science projects, mentor colleagues, and communicate complex concepts to technical and non-technical audiences (preferred).
Proficiency in Python, statistical programming, ML libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms and data engineering tools (preferred).
Experience with Cloud Functions, Vertex AI, MLFlow, Storage Buckets, IAM Principles and Service Accounts (preferred).
Experience building end-to-end ML pipelines from data ingestion to deployment and scaling (preferred).
Experience implementing CI/CD pipelines for ML models and solutions (preferred).
Familiarity with RESTful API design and integration of ML/GenAI solutions with existing systems (preferred).
Understanding of software engineering patterns, architecture, security with emphasis on ML/GenAI (preferred).
Experience working in Agile environments (Scrum/Kanban) and understanding of Agile practices (preferred).
Familiarity with DevSecOps principles and security considerations across the development lifecycle (preferred).
What is expected at this level
Applies advanced knowledge to manage a wide variety of projects.
Participates in developing policies and procedures to achieve goals.
Recommends new practices, processes, metrics, or models.
Works on or may lead complex projects of large scope with significant impact.
Provides solutions that may set precedent and independently determines methods for new projects.
Receives guidance on overall project objectives and acts as a mentor to less experienced colleagues.
Anticipated salary range:
$121,600 - $173,700 Bonus eligible:
Yes Benefits:
Cardinal Health offers a wide variety of benefits and programs to support health and well-being. 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
Application window anticipated to close:
11/05/2025 Note: Please submit your application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including location, education, experience and skills, and pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, or any other status protected by law. To read and review this privacy notice, click here: https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf
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Data Science contributes to Cardinal Health by applying data-driven methodologies to identify, analyze and present insights that drive business decisions and opportunities. The Data & Analytics Function oversees the analytics lifecycle, manages analytic data platforms, and designs and implements reporting/business intelligence solutions and advanced quantitative modeling. Our AI CoE focuses on leveraging data to create innovative healthcare solutions that improve patient outcomes and streamline operations. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy, delivering impactful solutions that drive real-world change. Responsibilities
Lead the development of innovative AI solutions: design, implement, and scale sophisticated AI solutions addressing key healthcare challenges using Machine Learning, Generative AI, and RAG technologies.
Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications.
Explore and leverage Generative AI technologies, including Large Language Models (LLMs) for summarization, generation, classification and extraction.
Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with large repositories of healthcare and business data, ensuring accurate outputs.
Shape AI strategy: collaborate with stakeholders to translate needs into actionable AI-driven solutions.
Champion AI within Cardinal Health, guiding the technology roadmap and aligning with business objectives.
Mentor a team of Data Scientists and ML Engineers, providing technical guidance and fostering a collaborative environment for continuous learning.
Promote an AI-driven culture and data-informed decision making to improve outcomes and patient care.
Qualifications
8-12 years of experience with at least 4 years in data science, with a track record of deploying complex AI/ML solutions (preferred).
Bachelor's degree in a related field or equivalent work experience (preferred).
GenAI Proficiency: deep understanding of Generative AI concepts (LLMs, RAG, embeddings, prompting, vector databases) and evaluating GenAI outputs without ground truth.
Experience building production-ready Generative AI applications involving RAGs, LLMs, vector databases and embeddings models.
Extensive knowledge of healthcare data (clinical, demographics, claims) with understanding of HIPAA and related regulations (preferred).
Experience with cloud platforms (e.g., Google Cloud Platform) for data processing, model training, evaluation, monitoring, deployment and support (preferred).
Proven ability to lead data science projects, mentor colleagues, and communicate complex concepts to technical and non-technical audiences (preferred).
Proficiency in Python, statistical programming, ML libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms and data engineering tools (preferred).
Experience with Cloud Functions, Vertex AI, MLFlow, Storage Buckets, IAM Principles and Service Accounts (preferred).
Experience building end-to-end ML pipelines from data ingestion to deployment and scaling (preferred).
Experience implementing CI/CD pipelines for ML models and solutions (preferred).
Familiarity with RESTful API design and integration of ML/GenAI solutions with existing systems (preferred).
Understanding of software engineering patterns, architecture, security with emphasis on ML/GenAI (preferred).
Experience working in Agile environments (Scrum/Kanban) and understanding of Agile practices (preferred).
Familiarity with DevSecOps principles and security considerations across the development lifecycle (preferred).
What is expected at this level
Applies advanced knowledge to manage a wide variety of projects.
Participates in developing policies and procedures to achieve goals.
Recommends new practices, processes, metrics, or models.
Works on or may lead complex projects of large scope with significant impact.
Provides solutions that may set precedent and independently determines methods for new projects.
Receives guidance on overall project objectives and acts as a mentor to less experienced colleagues.
Anticipated salary range:
$121,600 - $173,700 Bonus eligible:
Yes Benefits:
Cardinal Health offers a wide variety of benefits and programs to support health and well-being. 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
Application window anticipated to close:
11/05/2025 Note: Please submit your application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including location, education, experience and skills, and pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, or any other status protected by law. To read and review this privacy notice, click here: https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf
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