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 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.
- PhD, or Master's degree and 8+ years of applied research experience
- 8+ 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 Bioinformatics, Pharmacology, Pharmacometrics, or other related fields.
- PhD in computer science, machine learning, engineering, or related fields, or a Associate's degree or above and experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
- 3+ years of working with or evaluating AI systems experience
- Experience with predictive modeling in healthcare, pharmacology, or clinical trial contexts
- Experience working with healthcare data (e.g., EHR, clinical trials, medical claims)
- Understanding of synthetic data generation techniques (e.g., GANs) for healthcare applications
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
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