At Cardinal Health, we are dedicated to transforming healthcare through data-driven insights. As a Data Scientist, you will play a critical role in leveraging advanced analytics and machine learning to improve patient outcomes, optimize operations, and support strategic decision-making within the hospital and healthcare industry.

This role offers an exciting opportunity to work with diverse healthcare data sets and collaborate with cross-functional teams to deliver impactful solutions that drive innovation and efficiency.

Key Objectives

• Develop and implement predictive models and algorithms to address healthcare challenges.
• Analyze complex healthcare data to identify trends, patterns, and actionable insights.
• Collaborate with clinical, operational, and technical teams to translate data into meaningful outcomes.
• Support data-driven decision-making to enhance patient care and operational efficiency.

Responsibilities

• Design, build, and deploy machine learning models and statistical analyses tailored to healthcare applications.
• Extract, clean, and preprocess large and diverse healthcare datasets from multiple sources.
• Interpret and communicate analytical results to both technical and non-technical stakeholders.
• Collaborate with IT teams to ensure data quality, integrity, and security compliance.
• Stay current with emerging data science techniques, tools, and industry trends relevant to healthcare.
• Support the development of dashboards and visualization tools to monitor key performance indicators.
• Contribute to research and development initiatives aimed at improving healthcare delivery.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience in data science roles, preferably within the healthcare or hospital industry.
• Strong proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with healthcare data standards and regulations (e.g., HIPAA) is a plus.
• Expertise in SQL and working with relational and non-relational databases.
• Ability to communicate complex technical concepts clearly and effectively.
• Strong problem-solving skills with a results-oriented mindset.

Benefits

• Competitive salary and comprehensive health benefits.
• Opportunities for professional growth and continuous learning.
• Collaborative and inclusive work environment.
• Access to cutting-edge tools and technologies in healthcare analytics.
• Work that directly contributes to improving patient care and outcomes.
• Flexible work arrangements to support work-life balance.