AI/ML PhD Co-op: Predictive Analytics for Clinical Trials

Abbott; Saint Paul (MN); On-site; USD 25,000 - 49,000; Full time

Benefits offered by this job

Health coverage

Tuition reimbursement

Retirement plan

FreeU education benefit

Recognition as great place to work

Job summary

Abbott in Saint Paul, MN, is seeking a PhD Co-op in Artificial Intelligence & Machine Learning to develop AI-driven solutions for electrophysiology clinical data. You will build predictive models, process large multimodal datasets, and collaborate with clinical scientists to advance evidence generation and future product innovation.

The role emphasizes hands-on model development, data pipelines, and publication-ready reporting, with a focus on real-world healthcare applications in EP.

Qualifications

• Advanced proficiency in Python; experience with R, SQL, MATLAB, Julia, or other analytical languages.
• Experience with software development, version control, and code documentation.
• Familiarity with core machine learning concepts, statistics, and frameworks.
• Experience developing machine learning or advanced analytical models.
• Experience using Git for version control and familiarity with shell-based or cloud development environments.
• Knowledge of statistical analysis, predictive modeling, and data mining.
• Experience managing and analyzing large datasets.
• Strong problem-solving abilities and eagerness to research new AI technologies independently.

Responsibilities

• Design, develop, train, evaluate and fine-tune predictive models for clinical trial enrollment forecasting.
• Evaluate model performance using clinically relevant endpoints and validation methodologies.
• Build data pipelines for harmonizing and curating diverse clinical datasets.
• Perform data quality assessments, feature engineering, and model-ready dataset creation.
• Integrate and analyze multimodal data including imaging and clinical records.
• Develop data pipelines, algorithms, and visualization tools.
• Track metrics and document results to improve model accuracy.
• Collaborate with clinical scientists to identify clinically meaningful questions and endpoints.
• Prepare technical reports, presentations, and recommendations.
• Collaborate with cross-functional stakeholders and support publications.

Skills

Python

R

SQL

Git

Cloud computing

Statistics

Machine learning

Data mining

Education

Master’s or PhD program

PhD candidates preferred

Tools

PyTorch

TensorFlow/Keras

Scikit-learn

XGBoost/LightGBM

Job description

Abbott in Saint Paul, MN, is seeking a PhD Co-op in Artificial Intelligence & Machine Learning to develop AI-driven solutions for electrophysiology clinical data. You will build predictive models, process large multimodal datasets, and collaborate with clinical scientists to advance evidence generation and future product innovation.

The role emphasizes hands-on model development, data pipelines, and publication-ready reporting, with a focus on real-world healthcare applications in EP.