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- Tasks: Develop cutting-edge AI/ML solutions to transform healthcare delivery.
- Company: Join Amazon Health Services, revolutionising healthcare with innovative AI solutions.
- Benefits: Enjoy a collaborative culture, flexible work options, and the chance to impact millions.
- Why this job: Shape the future of healthcare while working with top-tier technology and experts.
- Qualifications: PhD or Master's in relevant fields with 3+ years of experience in model development.
- Other info: Inclusive workplace with support for diverse needs during the hiring process.
The predicted salary is between 48000 - 72000 £ per year.
Applied Scientist II, HST Health Foundation
Amazon Health Services (One Medical)
About Us:
At Health AI, we\’re revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, we\’re on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care.
Role Overview:
We\’re seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery.
Key job responsibilities
• Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical
• Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs)
• Optimize and fine-tune models for production deployment, including model distillation for improved latency
• Drive scientific innovation while maintaining a strong focus on practical business outcomes
• Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits
• Contribute to the broader Amazon Health scientific community and help shape our technical roadmap
BASIC QUALIFICATIONS
– 3+ years of building models for business application experience
– PhD, or Master\’s degree and 4+ years of CS, CE, ML or related field experience
– Experience in patents or publications at top-tier peer-reviewed conferences or journals
– Experience programming in Java, C++, Python or related language
– Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
– Experience in healthcare or medical informatics
– Publication record in top-tier ML conferences/journals
– Expertise in model optimization and distributed computing
– Experience with AWS services and cloud computing
– Knowledge of healthcare data privacy and security requirements
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Applied Scientist II, HST Health Foundation employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist II, HST Health Foundation
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in healthcare applications. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the healthcare AI space. Attend relevant conferences or webinars where you can meet industry experts and learn about their experiences. This could provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your practical experience with AI/ML models by discussing specific projects you've worked on. Be prepared to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Research Amazon Health Services and One Medical thoroughly. Understanding their mission, values, and recent developments will help you tailor your discussions and show your genuine interest in contributing to their goals.
We think you need these skills to ace Applied Scientist II, HST Health Foundation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML, particularly any projects involving Large Language Models or Visual Language Models. Emphasise your programming skills in languages like Python, Java, or C++.
Craft a Strong Cover Letter: In your cover letter, express your passion for healthcare and AI. Discuss how your background aligns with the role's responsibilities and how you can contribute to Amazon Health Services' mission.
Showcase Your Research: If you have publications or patents, include them in your application. Highlight any work that demonstrates your expertise in machine learning and its application in healthcare settings.
Prepare for Technical Questions: Anticipate technical questions related to algorithms, data structures, and model optimisation. Be ready to discuss your previous projects and how they relate to the job requirements.
How to prepare for a job interview at Amazon
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML models in detail. Highlight specific projects where you've built or optimised models, especially focusing on Large Language Models and Visual Language Models, as these are crucial for the role.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your ability to tackle complex problems. Prepare examples of how you've approached challenges in previous roles, particularly those that required innovative solutions in a healthcare context.
✨Understand the Business Impact
Articulate how your technical work translates into business outcomes. Be ready to discuss how your contributions can improve patient care and operational efficiency within Amazon Health Services.
✨Familiarise Yourself with Healthcare Regulations
Since this role involves working with healthcare data, brush up on relevant privacy and security requirements. Showing awareness of these regulations will demonstrate your commitment to responsible AI development.
