2027 Winter Graduate Co-op - Clinical Affairs AI/ML

Abbott seeks a PhD co-op in artificial intelligence and machine learning to support the Electrophysiology Clinical Affairs organization. The role involves developing AI solutions, predictive analytics, and machine learning models using clinical trial, imaging, and outcomes data to advance heart disease treatment.

Responsibilities

• Design, develop, train, and evaluate predictive models for clinical trial enrollment forecasting and outcomes prediction
• Build data pipelines to harmonize and curate diverse clinical, procedural, and imaging datasets
• Perform data quality assessments, feature engineering, and prepare model-ready datasets
• Collaborate with clinical scientists to identify clinically meaningful questions and performance criteria
• Prepare technical reports, presentations, and contribute to scientific publications or abstracts

Requirements

• Currently enrolled in Master's or PhD program in Computer Science, Bioinformatics, Computational Biology, or related field
• Advanced Python proficiency; experience with R, SQL, MATLAB, or similar analytical languages preferred
• Experience developing machine learning or advanced analytical models
• Knowledge of statistical analysis, predictive modeling, and data mining techniques
• Proficiency with Git version control and shell-based or cloud development environments
• Strong problem-solving abilities and demonstrated eagerness to learn new AI technologies independently