Elsevier

MD - Principal Clinical AI Evaluation Strategist

Home based-Pennsylvania, USA · Principal

Sponsorship not specified$95k-$159kDetected 61 days ago

LLMsProject ManagementAgileResearchCollaborationMentoring

About the role

We are seeking an experienced Principal Clinical AI Evaluation Strategist (MD) to join our dynamic team.
The role requires deep clinical expertise and mastery in content enrichment to ensure AI solutions meet the highest standards of medical accuracy and educational value.

Championing and manage complex projects evaluating AI models' performance in clinical use cases
Developing and implement content enrichment strategies that ensure clinical accuracy and relevance in AI outputs
Leading and mentor team members in developing expertise in clinical AI evaluation

Demonstrated experience in evaluating AI systems for clinical applications
Proven experience leading large expert teams using project management and agile methodologies
Experience mentoring teams in clinical AI evaluation methodologies

Geographic differentials may apply in some locations to better reflect local market rates.If performed in New Jersey, the base pay range is $107,646 - $171,954.This job is eligible for an annual incentive bonus.
$95,300 - $158,800.

As an MD, do you love collaborating with teams to assess and improve generative AI solutions as part of a Responsible AI approach to product development and deployment in the health space?
Elsevier is singularly focused on helping healthcare and health education professionals improve clinical outcomes through evidence-based methods.
As a recognized authority in the field, you will set strategy and drive the vision for Generative AI Evaluation of Clinical Solutions and Global Medical Education Products.
Setting and driving strategy for evaluating generative AI in clinical and medical education contexts, developing clear frameworks for assessing medical knowledge representation
Co-developing evaluation roadmaps with product teams and medical professionals to ensure AI solutions meet clinical accuracy standards and educational objectives
Leading knowledge organization governance for clinical content evaluation, influencing standards and processes for AI-driven medical information systems
Driving innovation in medical knowledge representation strategies for new areas of AI coverage
Guiding the evolution of evaluation standards for AI-generated clinical content and medical education materials
Creating advanced insights and recommendations for improving AI performance in healthcare applications

qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
EEO Know Your Rights.

are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientat

This listing is sourced directly from Elsevier's careers page and normalized into a canonical job model.