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- Tasks: Lead AI research in health, guiding teams and influencing product development.
- Company: Join Google, a leader in health-focused AI innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for global impact.
- Why this job: Make a difference in global health with cutting-edge AI technology.
- Qualifications: 3 years in healthcare and strong problem-solving skills.
- Other info: Be part of a diverse team committed to improving health outcomes.
The predicted salary is between 36000 - 60000 £ per year.
Clinical Specialist, AI Research, Health
Google London, UK
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Responsibilities
- Use your AI and research expertise to provide clinical leadership to teams across Google, contributing to overarching direction as well as to individual product and research roadmaps.
- Use clinical and domain expertise to provide clinical leadership, guidance, insights and direction on Google’s health-focused AI research projects, working in an embedded model with research, engineering, UX/UXR, product and partnerships teams.
- Identify relevant clinical guidelines, evidence-based practices, and use cases related to the development and evaluation of AI models and use these to influence research and product development.
- Respond to the needs of the business and projects prioritizing effort effectively; work in a portfolio environment to bring your expertise to a range of endeavors.
Preferred qualifications
- 3 years of experience in the healthcare industry.
- Demonstrated ability in problem-solving and strategy development.
About the job
Google for Health is a company-wide effort to help billions of people be healthier. We work toward this vision by meeting people in their everyday moments and empowering them to stay healthy and partnering with care teams to provide more accurate and accessible care. Our teams are applying our expertise and technology to improve health outcomes globally – with high-quality information and tools to help people manage their health and wellbeing, solutions to transform care delivery, research to catalyze the use of artificial intelligence for the screening and diagnosis of disease, and data and insights to the public health community.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google\’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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Clinical Specialist, AI Research, Health employer: Google Inc.
Contact Detail:
Google Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Specialist, AI Research, Health
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that Clinical Specialist role!
✨Tip Number 2
Prepare for those interviews by brushing up on your clinical knowledge and AI trends. We recommend doing mock interviews with friends or using online platforms. The more you practice, the more confident you'll feel when it’s time to shine!
✨Tip Number 3
Showcase your expertise! Create a portfolio that highlights your past projects and achievements in healthcare and AI. This will give potential employers a clear picture of what you bring to the table and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Clinical Specialist, AI Research, Health
Some tips for your application 🫡
Show Your Expertise: Make sure to highlight your AI and clinical expertise in your application. We want to see how your background aligns with the responsibilities of the Clinical Specialist role, so don’t hold back on showcasing your relevant experience!
Tailor Your Application: Take the time to customise your CV and cover letter for this specific role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you can contribute to our health-focused AI research projects.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Google Inc.
✨Know Your AI and Clinical Guidelines
Make sure you brush up on the latest clinical guidelines and evidence-based practices relevant to AI in healthcare. This will not only show your expertise but also help you discuss how these can influence product development during the interview.
✨Showcase Problem-Solving Skills
Prepare examples from your past experience where you've successfully tackled complex problems in the healthcare sector. Be ready to explain your thought process and how you developed strategies that led to positive outcomes.
✨Understand Google's Vision
Familiarise yourself with Google for Health's mission and recent projects. Being able to articulate how your skills align with their goals will demonstrate your genuine interest and commitment to contributing to their vision of improving health outcomes globally.
✨Engage with Cross-Functional Teams
Since the role involves working closely with various teams, think about how you can effectively communicate and collaborate with engineers, UX designers, and product managers. Prepare to discuss your experience in an embedded model and how you can bring clinical insights to diverse teams.