Biomedical AI Imaging Intern (PhD Track)

Merck; Cambridge (MA); Hybrid; USD 40,000 - 111,000; Part time

Benefits offered by this job

Hybrid work arrangement

Job summary

New Grad offers an AI/ML internship in Biomedical Imaging and Computational Pathology within the DAGS department. The 9–12 week program starts in May or June 2027 and targets PhD students with strong Python and PyTorch skills, plus clear communication for cross-disciplinary collaboration.

The role focuses on developing foundation-model AI methods, integrating imaging features with clinical data, and working with a multidisciplinary team to advance biomarkers and hypotheses.

Qualifications

• Must be enrolled in a PhD program in the listed fields.
• Available for 9–12 weeks starting May/June 2027.
• Proficiency with Python and PyTorch.
• Strong communication and interpersonal skills; collaborative work style.

Responsibilities

• Develop foundation model–based AI methods for histopathology images and spatial omics.
• Design interpretable models using morphology and tumor microenvironment features.
• Integrate image-derived features with patient outcomes and molecular data.
• Collaborate with data science, computational pathology, biology and translational research teams.

Skills

Python programming

PyTorch

Communication

Team collaboration

Biomedical data

Education

PhD in Computer Science/AI/ML/Computational biology/Bioinformatics/Biomedical Engineering/Statistics

Job description

New Grad offers an AI/ML internship in Biomedical Imaging and Computational Pathology within the DAGS department. The 9–12 week program starts in May or June 2027 and targets PhD students with strong Python and PyTorch skills, plus clear communication for cross-disciplinary collaboration.

The role focuses on developing foundation-model AI methods, integrating imaging features with clinical data, and working with a multidisciplinary team to advance biomarkers and hypotheses.