About Cardinal Health

Cardinal Health is a global leader in healthcare services and solutions, empowering pharmacies, hospitals, and healthcare systems to improve patient outcomes and streamline operations. With a presence across the United States and beyond, Cardinal Health manages the entire healthcare supply chain, from pharmaceutical distribution to innovative technology solutions. At the heart of our mission is the Artificial Intelligence Center of Excellence (AI CoE), where we harness data science and AI to revolutionize healthcare delivery.

Our Data & Analytics function drives business decisions through advanced analytics, managing data platforms, business intelligence solutions, and quantitative modeling. We are committed to leveraging cutting-edge technologies like Generative AI, Machine Learning, and Retrieval Augmented Generation (RAG) to create competitive advantages in healthcare.

Role Overview

As a Senior Data Scientist at Cardinal Health's AI CoE, you will serve as a thought leader and architect of our AI strategy. This full-time, US-Nationwide-FIELD position offers the flexibility to work remotely while contributing to high-impact projects that enhance patient care, optimize operations, and drive innovation. With a disclosed salary range of $121,600 - $173,700 USD per year, this role is ideal for seasoned professionals passionate about applying AI to solve complex healthcare challenges.

You will design and scale sophisticated AI solutions using Machine Learning, Generative AI, and RAG technologies, integrating vast datasets from clinical records, patient demographics, and claims data. Join a collaborative team of data scientists and ML engineers, mentoring talent while shaping Cardinal Health's technology roadmap.

Key Responsibilities

Lead AI Solution Development

Design, implement, and scale AI solutions addressing healthcare business challenges. Develop advanced ML models for forecasting, classification, risk prediction, and more. Leverage Generative AI technologies, including Large Language Models (LLMs), for summarization, generation, classification, and extraction tasks.

Build RAG Systems

Create robust Retrieval Augmented Generation systems that integrate LLMs with healthcare and business data repositories, ensuring accurate, relevant outputs through embedding models, vector databases, and advanced prompting techniques.

Shape AI Strategy

Collaborate with stakeholders to translate needs into AI-driven solutions. Champion AI adoption, influence the technology roadmap, and align initiatives with business objectives.

Mentor and Guide Teams

Provide technical guidance to geographically distributed data scientists and ML engineers, fostering innovation, continuous learning, and a collaborative environment.

Promote AI-Driven Culture

Drive data-driven decision-making, using AI insights to enhance customer experience and patient care across Cardinal Health.

Qualifications & Requirements

Experience and Education

8-12 years of professional experience, including at least 4 years in data science with a proven track record in developing and deploying complex AI/ML solutions. Bachelor's degree in a related field or equivalent experience preferred.

Technical Expertise

Deep understanding of Generative AI, LLMs, RAG technologies, embedding models, prompting techniques, vector databases, and evaluation methods without ground truth. Hands-on experience building production-ready GenAI applications with RAGs, LLMs, and cloud platforms like Google Cloud Platform (GCP), including VertexAI, Cloud Functions, MLFlow, and IAM.

Domain Knowledge

Extensive knowledge of healthcare data (clinical, demographics, claims) and regulations like HIPAA. Proficiency in Python, Scikit-learn, TensorFlow, PyTorch, and end-to-end ML pipelines from data ingestion to deployment.

Leadership Skills

Proven ability to lead projects, mentor teams, and communicate technical concepts to diverse audiences.

Benefits & Perks

Cardinal Health offers a comprehensive benefits package including competitive salary ($121,600-$173,700 USD/year), remote work flexibility in US-Nationwide-FIELD, and access to state-of-the-art AI tools. Enjoy professional development opportunities, mentorship programs, health insurance, retirement plans, and the chance to impact millions through healthcare innovation. Our AI CoE provides cutting-edge resources like GCP infrastructure for model training and deployment.

Career Growth

Advance your career at Cardinal Health by leading transformative AI projects. Gain exposure to executive stakeholders, mentor emerging talent, and influence enterprise-wide AI adoption. With opportunities for promotions into AI leadership roles, continuous training in emerging technologies like GenAI, and a focus on work-life balance, this position paves the way for long-term success in healthcare AI.

Why Join Us

Be part of a mission-driven organization pushing AI boundaries in healthcare. At Cardinal Health, your work directly improves patient outcomes and operational efficiency. Join a supportive, innovative culture with remote flexibility, competitive compensation, and the resources to thrive as a Senior Data Scientist.

Role FAQs

What is the salary range?

The disclosed salary is $121,600 - $173,700 USD per year, with potential for higher based on experience.

Is this role remote?

Yes, it's US-Nationwide-FIELD, offering nationwide remote flexibility.

What technologies will I use?

Focus on GenAI, LLMs, RAG, Python, GCP (VertexAI, MLFlow), TensorFlow, PyTorch.

Do I need healthcare experience?

Preferred, including knowledge of clinical data and HIPAA.

How do I apply?

Submit your resume highlighting AI/ML projects via Cardinal Health careers portal.