Applied Scientist, Life Sciences Applied AI
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Key job responsibilities
- Design develop and deploy novel Agentic systems and ML solutions for complex healthcare and life sciences challenges
- Navigate ambiguity and create clarity in early-stage product development
- Collaborate with product managers engineers and domain experts to transform research into production-quality features
- Mentor junior scientists and participate in tactical and strategic planning
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.
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 3 years of building machine learning models or developing algorithms for business application 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
- 5 years of building machine learning models or developing algorithms for business application experience
- 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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