Computational Pathology Scientist

Brown University • Providence, RI • 9h ago

Apply (https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job/70-Ship-Street/Computational-Pathology-Scientist_REQ209982-1/apply)

locations

70 Ship Street

time @type

Full time

posted on

Posted Today

job requisition id

REQ209982

Job Description:

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.

Job 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)

PhD Preferred

Experience in computational pathology, medical imaging, or healthcare AI is highly desired

Familiarity with foundation models and modern AI architectures is a plus

Experience deploying models in secure, privacy-compliant environments (e.g., HIPAA-regulated systems) is advantageous

And/or the equivalent combination of education and experience

Job Competencies

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

Ability to integrate, modify, and extend open-source computational tools

Capability to develop algorithms from first principles when required

Strong understanding of data privacy considerations in computational workflows

Strong communication skills for interdisciplinary collaboration

Ability to manage multiple projects with varying scope, complexity, and data sensitivity

Commitment to reproducibility, documentation, and research rigor

CRIMINAL BACKGROUND AND EDUCATION CHECK REQUIRED

Benefits of Working at Brown:

Please review additional information on the Benefits of Working at Brown (https://hr.brown.edu/benefits-wellness) .

Recruiting Start Date:

2026-06-25

Job Posting Title:

Computational Pathology Scientist

Department:

Department of Pathology and Laboratory Medicine

Grade:

Grade 10

Worker Type:

Employee

Worker Sub-Type:

Fixed Term (Fixed Term)

Time Type:

Full time

Scheduled Weekly Hours:

37.5

Position Work Location:

Onsite

Submission Guidelines:

Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

This position is not eligible for visa sponsorship.

Brown University is a registered employer in the following states: Rhode Island, California, Colorado, Connecticut, Florida, Maryland, Massachusetts, New York, New Hampshire, New Jersey, North Carolina, Washington, D.C. All remote work must be performed in a state in which Brown is registered to do business.

Still Have Questions?

If you have any questions you may contactemployment@brown.edu.

Brown is an E-Verify Employer.

EEO Statement:

Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.

About Us

Welcome!

Founded in 1764, Brown is a leading institution for education, discovery, and global intellectual progress as well as one of the largest employers in Rhode Island. Working at Brown brings more than just a paycheck and generous benefits; it offers an opportunity to contribute to a greater good. Join us in supporting the pursuit of knowledge and individual growth that defines higher education and enriches our community.

Additional Information:

You can find detailed information about our salary ranges (https://hr.brown.edu/working-brown/compensation/salary-ranges) on our website.

Attachments:

A resume is required as part of your job application. Please also include a cover letter and any other related documents as noted in the job description.

Questions Submitting Your Application:

If you have questions about submitting your application, please contactemployment@brown.edu.

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