Computational Pathology Scientist

About the role

The Computational Pathology Scientist supports hospital-based pathology faculty across two health systems in implementing and executing artificial intelligence-driven research projects focused on digital pathology and clinically relevant problem-solving.

Responsibilities

• Apply advanced computational approaches including deep learning, foundation models, and large language models to address complex diagnostic and workflow challenges.
• Collaborate with an advisory team to evaluate and prioritize proposed projects based on scientific impact, feasibility, and available resources.
• Operate within a pilot-stage computational pathology initiative, utilizing a mix of locally managed high-performance systems, academic clusters, and cloud-based platforms.
• Conduct projects involving protected health information (PHI) exclusively within secure, locally hosted high-performance computing environments to ensure compliance with data privacy regulations.

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)
• PhD preferred
• 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)

Qualifications

• Education and Experience:
• Required: Master’s Degree in Computer Science, Data Science, or a related computational field
• Required: 2+ years related experience
• Required: 1-2 years demonstrated experience in AI-based image analysis
• Required: Experience with artificial intelligence, machine learning, or deep learning methods
• Required: Strong programming experience in Python
• Required: Experience with high-performance computing environments (local workstations, academic clusters, and/or cloud platforms)
• Preferred: PhD
• Preferred: Experience in computational pathology, medical imaging, or healthcare AI
• Preferred: Familiarity with foundation models and modern AI architectures
• Preferred: Experience deploying models in secure, privacy-compliant environments (e.g., HIPAA-regulated systems)

Skills

• Strong problem-solving ability and adaptability to evolving technologies
• Strategic thinking in evaluating and prioritizing research initiatives
• Capability to develop algorithms from first principles when required
• Strong understanding of data privacy considerations in computational workflows
• Strong communication skills for interdisciplinary collaboration
• Commitment to reproducibility, documentation, and research rigor

Benefits

The benefits of working at Brown include:

• Additional information on the Benefits of Working at Brown

Pay

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.

Schedule

Full-time, 37.5 hours per week.