Imaging & Digital Pathology Scientist I

Broad Institute of MIT and Harvard; Cambridge (MA); On-site; USD 88,000 - 124,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) retirement plan

Paid holidays

Job summary

Broad Institute of MIT and Harvard seeks a Computational Scientist I to join the Surfaceome Target Discovery team and the Getz lab. You will develop, optimize, and deploy quantitative image analysis workflows for digital pathology, collaborating with cancer research groups and pathology cores to accelerate target validation in tumor tissue microarrays.

The ideal candidate has hands-on experience with whole-slide images, IHC and mIF assays, and proficiency in Python, R, Groovy, and QuPath,

Qualifications

• Master's or PhD in a quantitative life sciences field with digital pathology experience.
• Hands-on experience with QuPath including cell detection and tissue microenvironment analysis.
• Proficiency in Python, R, and Groovy for image analysis and workflow automation.
• Experience with deep learning for tissue segmentation and classification preferred.

Responsibilities

• Design, develop, and optimize machine learning/AI methods for digital pathology (segmentation, classification, spatial analysis).
• Build scalable preprocessing and analysis pipelines for TMA and whole-slide imaging datasets.
• Validate imaging workflows and classifiers using benchmarking and external datasets.
• Collaborate with pathologists to assess image quality, classifier accuracy, and artifacts.
• Translate biological questions into quantitative imaging metrics and outputs.
• Coordinate imaging analyses across cross-functional teams to meet project milestones.
• Maintain well-documented, reproducible workflows and code repositories.

Skills

Machine learning

QuPath

Groovy scripting

Python

R

Deep learning

Image analysis

Spatial analysis

Communication

Workflow development

Education

Master's degree in Biomedical Engineering/ Bioinformatics/ CS

PhD in Biomedical Engineering/ related field

Tools

QuPath

Akoya PhenoImager/Opal

Docker

AWS/GCP

TensorFlow/PyTorch

HALO AI

COMET

Job description

Broad Institute of MIT and Harvard seeks a Computational Scientist I to join the Surfaceome Target Discovery team and the Getz lab. You will develop, optimize, and deploy quantitative image analysis workflows for digital pathology, collaborating with cancer research groups and pathology cores to accelerate target validation in tumor tissue microarrays.

The ideal candidate has hands-on experience with whole-slide images, IHC and mIF assays, and proficiency in Python, R, Groovy, and QuPath,