The Senior Data Scientist role at IBM focuses on developing AI and GenAI models specifically for Healthcare and Life Sciences applications. The position involves analyzing large datasets to derive actionable insights and collaborating with multidisciplinary teams, including clinicians and software engineers. The team aims to integrate AI solutions into healthcare workflows, enhancing patient outcomes and clinical decision-making. This role is essential for driving innovation in AI applications within the healthcare sector.

• Bachelor's degree in a relevant field is required, while a Master's degree is preferred.
• Proven experience in AI/GenAI and machine learning model development, including deep learning.
• Strong programming skills in Python, R, or similar languages, along with experience in AI/ML frameworks.
• Experience with healthcare or life sciences data, including EHR and genomic datasets.
• Solid understanding of statistics, data analysis, and experimental design.

• Design and develop AI/GenAI models tailored for Healthcare and Life Sciences applications.
• Analyze large datasets to extract actionable insights.
• Collaborate with cross-functional teams to integrate AI solutions into workflows.
• Develop and validate predictive models for patient outcomes and treatment optimization.
• Implement agentic AI systems that autonomously perform tasks in healthcare processes.
• Conduct experiments and performance evaluations to ensure model accuracy and reliability.
• Document methodologies and AI model pipelines for reproducibility and compliance.
• Support deployment and monitoring of AI solutions in production environments.

• IBM offers competitive compensation, healthcare coverage, retirement programs, paid parental leave, tuition assistance, wellness programs, flexible work options, and extensive learning and certification resources.