Senior Applied Scientist, Healthcare and Life Science Services
Senior Applied Scientist, Healthcare and Life Science Services
Posted on :
06-09-2025
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1 Vacancy
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Job 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.
Key job 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 AWSs 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.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
- PhD or Masters degree and 6 years of applied research experience
- 5 years of building machine learning models for business application experience
- 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 other related fields.
- Experience with large scale machine learning systems such as profiling and debugging and understanding of 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 approaches
- Understanding of synthetic data generation techniques (e.g. GANs) for healthcare applications
- Experience in 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 for more information. If the country/region youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job 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 AWSs 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.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
- PhD or Masters degree and 6 years of applied research experience
- 5 years of building machine learning models for business application experience
- 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 other related fields.
- Experience with large scale machine learning systems such as profiling and debugging and understanding of 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 approaches
- Understanding of synthetic data generation techniques (e.g. GANs) for healthcare applications
- Experience in 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 for more information. If the country/region youre applying in isnt 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 $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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