AI/ML Biomedical Imaging Intern | Computational Pathology

Merck; Cambridge (MA); On-site; USD 40,000 - 111,000; Full time

Job summary

Merck, in its Future Talent Program within the DAGS department, offers an AI/ML internship focusing on biomedical imaging and computational pathology. You will work with an interdisciplinary team to develop foundation model‑based AI for histopathology and spatial omics, integrating features with clinical data.

The program seeks PhD students in AI/CS or related fields who can code in Python (PyTorch) and communicate effectively.

Qualifications

• Must be currently enrolled in a PhD program in a related field.
• Available to work full-time for 9–12 weeks starting May/June 2027.
• Proficiency with Python and PyTorch.

Responsibilities

• Develop and apply foundation model‑based AI methods for histopathology images and spatial omics.
• Design interpretable approaches to characterize model representations with biology‑grounded features.
• Integrate image‑derived features with patient outcome and molecular data for hypotheses.
• Collaborate with data science, computational pathology, biology, and translational research teams.

Skills

Python programming

PyTorch

Communication skills

Education

PhD student in AI/CS

Job description

Merck, in its Future Talent Program within the DAGS department, offers an AI/ML internship focusing on biomedical imaging and computational pathology. You will work with an interdisciplinary team to develop foundation model‑based AI for histopathology and spatial omics, integrating features with clinical data.

The program seeks PhD students in AI/CS or related fields who can code in Python (PyTorch) and communicate effectively.