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- Tasks: Lead evaluations for GenAI Health Solutions and collaborate with diverse teams.
- Company: Join Elsevier Health, a global leader in healthcare innovation.
- Benefits: Enjoy generous holidays, health perks, and a supportive work-life balance.
- Why this job: Make a real impact on healthcare by evaluating cutting-edge AI tools.
- Qualifications: Licensed healthcare provider with clinical experience and strong communication skills.
- Other info: Dynamic environment with extensive learning and development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
About our Team: Elsevier Health applies innovation, facilitates insights, and helps drive more informed decision-making for our customers across global health. We support health providers by providing accessible, trusted evidence-based information; prepare more medical and nursing students with effective tools and resources; provide insights that help clinicians improve patient outcomes; and supports a more personalized and localized healthcare experience. All for the benefit of every patient.
About the Role: You will help manage evaluations for GenAI Health Solutions, focusing on reference products for clinicians and students. In this role you will lead on product development support through routine surveillance, user feedback, and pre-market evaluation. You'll collaborate with stakeholders across Clinical Solutions and other Elsevier teams to achieve business goals, reporting to the Physician Lead of GenAI Evaluation.
Responsibilities:
- Develop evaluation sets for GenAI tools used in point-of-care, continuing, and graduate medical education.
- Work with AI systems and human reviewers to create evaluation sets tailored to product requirements.
- Ensure evaluation methods include diverse clinical specialties, query types, and interest groups.
- Lead and participate in evaluations of GenAI outputs with both clinical experts and automated systems.
- Support the creation and validation of automated evaluation methods with subject matter experts.
- Coordinate evaluation strategies with Operations, Product, and Marketing teams.
- Design and conduct scoping evaluations to identify product challenges.
- Manage clinical evaluators and incorporate structured feedback into assessments.
- Document evaluation results and share findings with stakeholders.
- Analyze evaluation data trends to guide future product development and improvements.
Requirements:
- Licensed healthcare provider (such as physician, pharmacist, or physician assistant) in good standing, with a minimum of five years of direct clinical experience following training or certification.
- Experience in teaching, mentoring, or contributing to academic settings.
- Demonstrated involvement in evaluating GenAI or digital health products is preferred but not required.
- Experience in developing or implementing products within clinical workflows.
- Understanding of healthcare delivery processes and clinical environments.
- Experience collaborating with diverse teams in a global organization.
- Familiarity with clinical safety and relevant regulatory considerations for healthcare technology is an advantage.
- Strong communication skills and ability to collaborate across disciplines and with non-clinical team members.
- Ability to work effectively within a matrixed and cross-functional organizational structure.
- Demonstrated ability to communicate complex information clearly to a range of audiences.
Work in a way that works for you: We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
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:
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
About the business: A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. What you do every day will help advance science and healthcare to advance human progress.
Clinical AI Evaluation Expert in London employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical AI Evaluation Expert in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and AI fields. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by researching the company and its products. Familiarise yourself with their GenAI Health Solutions and think about how your experience aligns with their goals. This will help you stand out as a candidate who truly understands their mission.
✨Tip Number 3
Practice your pitch! Be ready to explain your clinical experience and how it relates to evaluating AI tools. Keep it concise and engaging – remember, you want to leave a lasting impression!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Clinical AI Evaluation Expert in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Clinical AI Evaluation Expert role. Highlight your relevant experience in clinical settings and any work with GenAI or digital health products. We want to see how your background aligns with our mission!
Showcase Your Communication Skills: Since this role involves collaborating with diverse teams, it's crucial to demonstrate your strong communication skills. Use clear and concise language in your application to show us you can convey complex information effectively.
Highlight Your Clinical Experience: As a licensed healthcare provider, your clinical experience is key! Be sure to detail your direct clinical experience and any teaching or mentoring roles you've had. This will help us understand your expertise and how it fits into our team.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. Let’s get you on board!
How to prepare for a job interview at Elsevier
✨Know Your Stuff
Make sure you brush up on the latest trends in Clinical AI and digital health products. Familiarise yourself with GenAI tools and their applications in clinical settings. This will not only show your expertise but also demonstrate your genuine interest in the role.
✨Showcase Your Experience
Prepare to discuss your clinical experience and how it relates to the evaluation of AI tools. Be ready to share specific examples of how you've contributed to product development or evaluations in the past, as this will highlight your suitability for the position.
✨Engage with Stakeholders
Since collaboration is key in this role, think about how you can effectively communicate with diverse teams. Prepare questions that show your understanding of cross-functional collaboration and how you can contribute to achieving business goals.
✨Be Data-Driven
As you'll be analysing evaluation data trends, come prepared to discuss your analytical skills. Think of examples where you've used data to guide decisions or improvements in a clinical setting, as this will resonate well with the interviewers.
