Amazon Web Services (AWS)
Senior Applied Scientist, Healthcare and Life Science Services
Amazon Web Services (AWS), Seattle, Washington, us, 98127
Overview
Senior Applied Scientist, Healthcare and Life Science Services at AWS. We are seeking an exceptional senior applied scientist to join the AWS Applied AI Life Sciences organization. You will invent, implement, and deploy state-of-the-art machine learning algorithms and intelligent AI systems to solve complex problems in healthcare and life sciences, making a meaningful impact on patient lives. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world‑famous scientists. Description
We are looking for an exceptional senior applied scientist to join the AWS Applied AI Life Sciences organization. You will invent, implement, and deploy state-of-the-art machine learning algorithms and intelligent AI systems to solve complex problems in healthcare and life sciences area, making a meaningful impact on patient lives. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
Responsibilities
Design, develop, and deploy novel Agentic systems and ML solutions for complex healthcare challenges
Navigate ambiguity and create clarity in early-stage product development
Establish best practices for ML experimentation, evaluation, development and deployment
Collaborate with product managers, engineers, and domain experts to transform research into production-quality features
Mentor junior scientists and contribute to the technical strategy of the team
A Day in the Life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models.
About The Team We are a multidisciplinary team of product managers, engineers, scientists, and domain experts working at the intersection of AI/ML and healthcare. We leverage AWS\'s expertise in secure, scalable cloud computing and applied AI to solve complex challenges in healthcare and life sciences. Our team values customer obsession, technical excellence, innovation, and a commitment to improving patient outcomes through technology.
Qualifications Basic Qualifications
PhD, or Master\'s degree and 6+ years of applied research experience
5+ years of building machine learning models for business applications
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, etc.)
Applied Research experience in Biostatistics, Pharmacology, Pharmacometrics, or related fields
Preferred Qualifications
Experience with large scale ML systems, profiling and debugging, and understanding system performance and scalability
Experience with predictive modeling in healthcare, pharmacology, or clinical trial contexts
Experience working with healthcare data (e.g., EHR, clinical trials, medical claims)
Familiarity with time series analysis, causal inference methods and explainable AI
Understanding of synthetic data generation techniques (e.g., GANs) for healthcare applications
Experience applying Generative AI and building Agentic systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 amazon.jobs accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year to $260,000/year. Pay is based on factors including market location and experience. Amazon is a total compensation company; equity, sign-on, and other benefits may be provided as part of the package. For more information, please visit aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Amazon Development Center U.S., Inc.
Job ID: A3076380
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Research, Science, and Engineering
Industries: IT Services and IT Consulting
Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x
Locations & Salary Examples Redmond, WA: $147,000.00-$208,000.00
Seattle, WA: $125,000.00-$200,000.00
Greater Seattle Area: $51,312.00-$57,600.00
Seattle, WA: $51,312.00-$93,180.00
Seattle, WA: $169,700.00-$277,400.00
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Senior Applied Scientist, Healthcare and Life Science Services at AWS. We are seeking an exceptional senior applied scientist to join the AWS Applied AI Life Sciences organization. You will invent, implement, and deploy state-of-the-art machine learning algorithms and intelligent AI systems to solve complex problems in healthcare and life sciences, making a meaningful impact on patient lives. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world‑famous scientists. Description
We are looking for an exceptional senior applied scientist to join the AWS Applied AI Life Sciences organization. You will invent, implement, and deploy state-of-the-art machine learning algorithms and intelligent AI systems to solve complex problems in healthcare and life sciences area, making a meaningful impact on patient lives. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.
Responsibilities
Design, develop, and deploy novel Agentic systems and ML solutions for complex healthcare challenges
Navigate ambiguity and create clarity in early-stage product development
Establish best practices for ML experimentation, evaluation, development and deployment
Collaborate with product managers, engineers, and domain experts to transform research into production-quality features
Mentor junior scientists and contribute to the technical strategy of the team
A Day in the Life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models.
About The Team We are a multidisciplinary team of product managers, engineers, scientists, and domain experts working at the intersection of AI/ML and healthcare. We leverage AWS\'s expertise in secure, scalable cloud computing and applied AI to solve complex challenges in healthcare and life sciences. Our team values customer obsession, technical excellence, innovation, and a commitment to improving patient outcomes through technology.
Qualifications Basic Qualifications
PhD, or Master\'s degree and 6+ years of applied research experience
5+ years of building machine learning models for business applications
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, etc.)
Applied Research experience in Biostatistics, Pharmacology, Pharmacometrics, or related fields
Preferred Qualifications
Experience with large scale ML systems, profiling and debugging, and understanding system performance and scalability
Experience with predictive modeling in healthcare, pharmacology, or clinical trial contexts
Experience working with healthcare data (e.g., EHR, clinical trials, medical claims)
Familiarity with time series analysis, causal inference methods and explainable AI
Understanding of synthetic data generation techniques (e.g., GANs) for healthcare applications
Experience applying Generative AI and building Agentic systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 amazon.jobs accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year to $260,000/year. Pay is based on factors including market location and experience. Amazon is a total compensation company; equity, sign-on, and other benefits may be provided as part of the package. For more information, please visit aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Amazon Development Center U.S., Inc.
Job ID: A3076380
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Research, Science, and Engineering
Industries: IT Services and IT Consulting
Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x
Locations & Salary Examples Redmond, WA: $147,000.00-$208,000.00
Seattle, WA: $125,000.00-$200,000.00
Greater Seattle Area: $51,312.00-$57,600.00
Seattle, WA: $51,312.00-$93,180.00
Seattle, WA: $169,700.00-$277,400.00
#J-18808-Ljbffr