Associate Scientist, Digital Pathology & AI Analytics

Initial Therapeutics, Inc.; Massachusetts; On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

401(k) plan

Paid time off

Job summary

AbbVie Immunology Discovery pathology group in Worcester, MA is seeking a research scientist to develop AI-driven image analysis solutions for quantitative pathology and multi-modal omics studies. You will work with pathologists, biologists, and data scientists to build scalable workflows for large imaging datasets including histology and multiplex IF.

The role emphasizes Python-based pipelines, cloud computing, and collaboration across multidisciplinary teams to drive drug discovery with

Qualifications

• Experience in digital pathology and image analysis platforms.
• Strong proficiency in Python and scientific libraries.
• Working knowledge of cloud computing and scalable workflows.

Responsibilities

• Develop and deploy automated image analysis workflows for histopathology and spatial biology.
• Design ML/DL approaches for cell segmentation and biomarker quantification.
• Perform image registration and data integration for multimodal imaging.
• Develop scripts and pipelines in Python.
• Optimize scalable compute resources for high-throughput processing.
• Architect and integrate databases for a cohesive system.
• Collaborate with pathologists, biologists, and data scientists.
• Present methods and results to scientific stakeholders.

Skills

Python

Image analysis

Machine learning

Digital pathology

Cloud computing (AWS)

Data management

Collaboration

Education

Bachelor's degree in CS/AI/Biology or related field

Master's degree in CS/Data Science/AI or related field

Tools

Visiopharm

QuPath

Halo

ImageJ

AWS

Job description

AbbVie Immunology Discovery pathology group in Worcester, MA is seeking a research scientist to develop AI-driven image analysis solutions for quantitative pathology and multi-modal omics studies. You will work with pathologists, biologists, and data scientists to build scalable workflows for large imaging datasets including histology and multiplex IF.

The role emphasizes Python-based pipelines, cloud computing, and collaboration across multidisciplinary teams to drive drug discovery with