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$147,698–$254,750.
Based on 240 similar postings.
Employer
About Eli Lilly and Company
Eli Lilly and Company is a global pharmaceutical company that discovers, develops, and markets medicines in areas such as diabetes, oncology, neuroscience, and immunology, known for products like insulin and Mounjaro. Industry: Pharmaceuticals
Eli Lilly and Company currently has
21 open roles
on FindRole.
Listed pay typically runs
$97,925–$127,925
across 8 roles with salary data.
The AI PhD Foundation Model for Clinical Imaging Internship is based within the Clinical and Development area of the Advanced Intelligence & Research organization. In this role, you will work alongside experienced research scientists to develop, adapt, and fine-tune foundation models for clinical imaging. Your daily work involves learning rich, generalizable representations from diverse modalities including MRI, PET, CT, ultrasound, digital pathology, and retinal imaging. You will integrate these representations with clinical, biomarker, and longitudinal data to perform prediction, characterization, stratification, and risk-assessment tasks. Key technical requirements include proficiency in Python and R, along with deep knowledge of machine learning, deep learning, representation learning, self-supervised learning, and multimodal learning. This work addresses complex clinical development challenges across therapeutic areas such as neuroscience, immunology, and oncology.
Develop, adapt, or fine-tune foundation models for diverse clinical imaging modalities like MRI, PET, and CT.
Integrate imaging-derived representations with clinical, biomarker, longitudinal, and other relevant healthcare data.
Apply models to prediction, characterization, stratification, or risk-assessment tasks across various therapeutic areas.
Evaluate model performance, robustness, generalizability, and scientific interpretability.
Partner with clinical, imaging, and scientific collaborators to advance research goals.
Stay current with latest advances in foundation models and clinical imaging AI.
Present project highlights, findings, and recommendations to senior leaders and stakeholders.
What we're looking for
Must be currently enrolled in and pursuing a PhD in Computer Science, Computational Biology, Operations Research, Statistics, Biostatistics, Mathematics/Applied Math, or a similar quantitative field.
Must have at least three years of completed graduate work.
Must have foundational knowledge of machine learning, deep learning, medical imaging, or statistical modeling.
Must have hands-on experience programming in Python.
Must be authorized to work in the United States on a full-time basis.
Deep knowledge of machine learning and deep learning methods relevant to medical imaging is required.
Experience developing, fine-tuning, or applying foundation models to clinical imaging data is required.
Prior research or internship experience applying foundation models or clinical imaging AI to biomedical problems is preferred.
Python
R
Machine Learning
PowerBI
Tableau
Cloud Computing
Database Development
Generative AI
Process Automation
Data Science
Analytics
Data Flow
System Validation
Python
Swift
Objective C
Java
TensorFlow
PyTorch
CoreFlow
Sklearn
Machine Learning
Large Language Models
Diffusion Models
Reinforcement Learning
Linear Algebra
Statistics
Causal Inference
Time Series Analysis
Optimization
Stochastic Modeling