Senior Data Scientist-Artificial Intelligence

Introduction

A career in IBM Consulting is rooted by long‑term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.

• Design and develop AI/GenAI models tailored for Healthcare and Life Sciences applications.
• Analyze large datasets (structured and unstructured) to extract actionable insights.
• Collaborate with cross-functional teams including clinicians, biostatisticians, and software engineers to integrate AI solutions into workflows.
• Develop and validate predictive models for patient outcomes, treatment optimization, and clinical decision support.
• Implement agentic AI systems that can autonomously perform tasks or provide recommendations in healthcare processes.
• Conduct experiments and performance evaluations to ensure model accuracy, fairness, and reliability.
• Stay up-to-date with AI/ML trends, particularly in GenAI and Healthcare applications, and propose innovative solutions.
• Document methodologies, results, and AI model pipelines for reproducibility and regulatory compliance.
• Support deployment and monitoring of AI solutions in production environments.

This Job can be Performed from anywhere in the US.

• Proven experience in AI/GenAI and machine learning model development, including deep learning and agentic AI systems.
• Strong programming skills in Python, R, or similar languages, and experience with AI/ML frameworks (Tensor Flow, PyTorch, scikit‑learn).
• Experience with healthcare or life sciences data, including EHR, genomic, clinical trial, or other biomedical datasets.
• Solid understanding of statistics, data analysis, and experimental design.
• Experience in data preprocessing, feature engineering, and model validation.
• Familiarity with cloud platforms (AWS, Azure, GCP) and deployment of AI solutions in production.
• Ability to collaborate with multidisciplinary teams, including clinicians, software engineers, and product managers.
• Strong problem‑solving skills and critical thinking, with the ability to translate business or clinical needs into AI solutions.
• Excellent communication skills to present findings, methodologies, and insights to both technical and non‑technical stakeholders.

• Experience with regulatory and compliance requirements in healthcare or life sciences is a plus.

IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.