Fast Facts
Seeking a Principal Clinical AI Evaluation Strategist (MD) at Elsevier to lead the strategy and evaluation of generative AI in healthcare, ensuring clinical accuracy and educational effectiveness.
Responsibilities: Drive strategies for evaluating generative AI in clinical settings, collaborate with product teams, and lead complex projects focused on AI model performance.
Skills: MD required, 10+ years of clinical experience, expertise in medical informatics, and project management in AI evaluation for healthcare applications.
Qualifications: Proven leadership in evaluating AI systems, understanding of clinical workflows, and experience in medical education content development.
Location: Home based in Pennsylvania, USA.
Compensation: Not provided by employer. Typical compensation ranges for this position are between $150,000 - $250,000.
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?
Do you like working with data and analytics to evaluate Generative AI models and their performance?
About our Team
Elsevier is singularly focused on helping healthcare and health education professionals improve clinical outcomes through evidence-based methods. Our generative AI Evaluation team works on evaluating cutting-edge technologies to enhance our clinical and education solutions while ensuring their safety, reliability, and compliance within the high standards of the health domain.
About the Role
We are seeking an experienced Principal Clinical AI Evaluation Strategist (MD) to join our dynamic team. 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. As a thought leader you will develop Evaluation strategies, influence future dynamics in the field, and serve as a key supporter for implementing Generative AI Evaluation Frameworks for Clinical use cases. 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.
Responsibilities
- Set and drive strategy for evaluating generative AI in clinical and medical education contexts, developing clear frameworks for assessing medical knowledge representation
- Co-develop evaluation roadmaps with product teams and medical professionals to ensure AI solutions meet clinical accuracy standards and educational objectives
- Lead knowledge organization governance for clinical content evaluation, influencing standards and processes for AI-driven medical information systems
- Champion and manage complex projects evaluating AI models' performance in clinical use cases
- Drive innovation in medical knowledge representation strategies for new areas of AI coverage
- Develop and implement content enrichment strategies that ensure clinical accuracy and relevance in AI outputs
- Foster cross-functional collaboration between clinical experts, AI teams, and product developers
- Guide the evolution of evaluation standards for AI-generated clinical content and medical education materials
- Lead and mentor team members in developing expertise in clinical AI evaluation
- Create advanced insights and recommendations for improving AI performance in healthcare applications
Requirements
- MD required, with 10+ years of clinical experience and expertise in medical informatics
- Demonstrated experience in evaluating AI systems for clinical applications
- Proven experience leading large expert teams using project management and agile methodologies
- Expert-level understanding of clinical knowledge systems and medical content validation
- Track record of developing evaluation frameworks for AI in healthcare
- Strong understanding of medical terminology, clinical workflows, and healthcare education needs
- Experience with clinical decision support systems and medical knowledge bases
- Demonstrated ability to predict and influence trends in healthcare AI
- Excellence in communicating complex medical and technical concepts to varied stakeholders
- Strong background in medical education and clinical content development
- Experience mentoring teams in clinical AI evaluation methodologies
- Innovative mindset with focus on improving healthcare outcomes through AI
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
- Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
- Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
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Elsevier is an equal opportunity employer: 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. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.
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