Life Science Domain Expert in Dermatology

You will provide senior clinical judgment on complex or unclear dermatology cases in a longitudinal dataset. Your work supports AI evaluation and data curation through case review, clinical consensus, guideline-based commentary, and expert review of model outputs.

The engagement is fully remote and mainly asynchronous, with occasional synchronous calls. It covers assigned dermatology case batches over four weeks and is paid per task.

• Lead clinical reviews of complex or ambiguous dermatology cases.
• Help resolve disagreements among reviewers through structured clinical consensus.
• Document clinically defensible decisions and contribute to clinical evaluation frameworks.
• Review AI model outputs and provide expert advisory input during assigned advisory work.
• Write commentary aligned with current dermatology guidelines.
• Provide subspecialty consultation when appropriate.
• Communicate reliably and constructively with peer reviewers.
• Disclose relevant conflicts of interest.

This is a part-time independent contractor opportunity for a Life Science Domain Expert in dermatology. It requires advanced clinical experience and comfort working with complex cases and graphic medical images.

• Paid per task; no rate is provided in the listing.
• Time requirement: 20+ hours per week.
• Remote and open worldwide, subject to the role's US academic and licensing requirements.
• A faculty appointment at the Assistant Professor level or above at an accredited US medical school or academic medical center.
• American Board of Dermatology certification.
• An active medical license in at least one US state.
• At least three years of experience after completing residency.
• An active clinical practice.
• Subspecialty fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
• Peer-reviewed dermatology publications, strong written clinical reasoning, and familiarity with current dermatology guidelines.
• Experience with peer review, research or IRB committee service, resident or fellow teaching, or clinical AI evaluation is valuable.
• Comfort with consensus leadership, clinical complexity, graphic medical images, and disciplined adherence to protocols.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training uses human-reviewed examples to help artificial intelligence systems produce better results. In this role, your dermatology expertise helps assess model outputs and create reliable clinical guidance for evaluation and data curation. Experienced professionals are needed because accurate medical review depends on sound judgment and current field knowledge.