2027 Winter Graduate Co-op - Clinical Affairs AI/ML
Abbott · St. Paul, MN
Clinical OperationsFull-timeCompany career page
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Role summary
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.
What they're looking for
- 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
What you'll be doing
- 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
Privacy & handoff
This role links to Abbott's own application system. RoleLantern records your interest and checks the link, but the application happens on the employer's site and status updates may not come back to us. Clicking apply does not mark you as applied automatically.