Computational Pathology Scientist

Brown University•Providence, RI

3d•Onsite

About The Position

The Computational Pathology Scientist will support hospital-based pathology faculty across two health systems in the implementation and execution of artificial intelligence–driven research projects focused on digital pathology and clinically relevant problem-solving. This role applies advanced computational approaches—including deep learning, foundation models, and large language models—to address complex diagnostic and workflow challenges that cannot be solved using conventional methods. This position operates within a pilot-stage computational pathology initiative and collaborates with an advisory team to evaluate and prioritize proposed projects based on scientific impact, feasibility, and available resources. The computational environment consists primarily of locally managed high-performance systems, supplemented by academic clusters and cloud-based platforms as appropriate. Projects involving protected health information (PHI) are conducted exclusively within secure, locally hosted high-performance computing environments to ensure compliance with data privacy regulations. This is a fixed-term position with a current end date of one year from the date of hire, which may be extended based upon available funding.

Requirements

Master’s Degree in Computer Science, Data Science, or a related computational field
2+ years related experience
1-2 years demonstrated experience in AI-based image analysis
Experience with artificial intelligence, machine learning, or deep learning methods
Strong programming experience in Python
Experience with high-performance computing environments (local workstations, academic clusters, and/or cloud platforms)
Strong problem-solving ability and adaptability to evolving technologies
Ability to rapidly learn and apply new computational and domain-specific methods
Strategic thinking in evaluating and prioritizing research initiatives
Capability to integrate, modify, and extend open-source computational tools
Strong understanding of data privacy considerations in computational workflows
Strong communication skills for interdisciplinary collaboration

Nice To Haves

PhD
Experience in computational pathology, medical imaging, or healthcare AI
Familiarity with foundation models and modern AI architectures
Experience deploying models in secure, privacy-compliant environments (e.g., HIPAA-regulated systems)

Responsibilities

Support hospital-based pathology faculty in implementing and executing AI-driven research projects focused on digital pathology and clinically relevant problem-solving.
Apply advanced computational approaches (deep learning, foundation models, large language models) to address complex diagnostic and workflow challenges.
Operate within a pilot-stage computational pathology initiative.
Collaborate with an advisory team to evaluate and prioritize proposed projects based on scientific impact, feasibility, and available resources.
Conduct projects involving protected health information (PHI) exclusively within secure, locally hosted high-performance computing environments.
Integrate, modify, and extend open-source computational tools.
Develop algorithms from first principles when required.
Manage multiple projects with varying scope, complexity, and data sensitivity.
Ensure reproducibility, documentation, and research rigor.