Senior Data Scientist, Navista at Cardinal Health

About Cardinal Health

Cardinal Health is a global, integrated healthcare services and products company connecting people, data, and technology to improve health outcomes. With annual revenues exceeding $200 billion, we serve 200,000+ locations worldwide, driving efficiency in pharmaceutical distribution, medical product manufacturing, and specialty solutions. Navista, a Cardinal Health company, empowers independent community oncology practices through advanced technology and support services. Our mission: enable patient-centered cancer care while helping practices thrive amid industry evolution. Join our Data & Advanced Analytics team to pioneer AI innovations in oncology.

Role Overview

As Senior Data Scientist, Navista, you'll spearhead Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems development for the Navista Application Suite and Integrated Oncology Network (IoN). This nationwide remote role offers a disclosed salary of $123,400 - $176,300 USD annually, with opportunities for performance-based upside. Dive into complex oncology datasets—clinical notes, pathology reports, research data—to build transformative AI solutions. From foundational research to production deployment, shape AI strategy, mentor teams, and collaborate cross-functionally in a high-impact environment.

Key Responsibilities

Research & Development

Lead cutting-edge R&D on GenAI models including LLMs, diffusion models, GANs, and VAEs to solve oncology challenges like outcome prediction and trend identification.

LLM & Agentic Expertise

Architect and deploy LLMs for NLP tasks—summarization, Q&A, insight extraction from unstructured data. Design agentic systems for autonomous reasoning, planning, and interaction in clinical workflows.

Predictive Modeling & Data Strategy

Build models from diverse oncology data sources. Partner with data engineers on preprocessing, augmentation for GenAI training, emphasizing ethical handling of sensitive health data.

Deployment & Leadership

Define evaluation metrics, oversee production deployment, monitoring, and optimization. Provide technical leadership, mentor juniors, and drive innovation in AI for healthcare.

Qualifications & Requirements

Seeking candidates with 8-12 years as Data Scientist or ML Engineer, deep focus on deep learning and NLP. Essential: hands-on Generative AI experience (Transformers, GANs, VAEs, Diffusion); LLM fine-tuning/deployment; agentic frameworks. Bachelor's in CS, Data Science, or equivalent preferred. Oncology domain knowledge a plus. Proficiency in Python, PyTorch/TensorFlow, cloud platforms (AWS/GCP), and prompt engineering required. Strong communication for cross-team collaboration and ethical AI advocacy.

Benefits & Perks

Cardinal Health offers premium total rewards: base salary $123,400-$176,300 with 5-10% upside potential; comprehensive medical, dental, vision coverage; 401(k) with 6% match; flexible remote work nationwide; 20+ PTO days; parental leave; wellness programs; tuition assistance up to $5,250/year. Thrive in a collaborative culture prioritizing work-life balance and innovation.

Career Growth

Accelerate your trajectory in healthcare AI. Access leadership development, certifications (e.g., AWS ML Specialty), and internal mobility across Cardinal Health's global network. Previous Navista alumni advanced to Director of AI, VP Data Science roles. Network with oncologists, engineers, and executives shaping oncology's future.

Why Join Us

Be at the forefront of AI-driven oncology transformation. Impact patient care by unlocking insights from complex data, empowering independent practices against consolidation pressures. Work with passionate experts in a mission-driven company valued at billions, offering stability and growth. Nationwide flexibility means no relocation—focus on innovation from anywhere in the US.

Role FAQs

Is this role remote?

Yes, fully remote nationwide (US-FIELD).

What salary can I expect?

Disclosed range: $123,400 - $176,300 USD/year, with performance upside to $194K+.

Do I need oncology experience?

Preferred but not required; AI/ML expertise in healthcare data is key.

What tech stack is used?

Python, LLMs (e.g., GPT, Llama), PyTorch, cloud ML platforms, agent frameworks like LangChain.

How does Cardinal Health support AI ethics?

We prioritize bias mitigation, fairness audits, and transparent model governance in all deployments.