Amazon Senior Applied Scientist Healthcare Life Science Services 

United States, Washington, Seattle 

929154102

Amazon is looking for world class senior applied scientist to join the AWS Healthcare and Life Science Services team to work on state of the art implementations of biomolecule design workflows. This role is entrusted with developing core machine learning algorithms for AWS customers, to be included in future AWS products. On the AWS Healthcare and Life Science Services Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions for biomolecule design across different computation platforms. You will interact closely with our customers and with the academic community. 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
As a key Applied Scientist, you will design workflows that integrate SOTA AI/ML models with complex biological datasets. You will work closely with a team of other Applied Scientists and Solutions Architects to ensure the algorithms and workflows meet out customers scientific and business objectives. Your role will also involve working with AWS service teams, to promote the delivery of AI-powered solutions in the field of biomolecule design.
A day in the life
You will work with customer scientists, academics, AWS product managers, other AWS scientists, and AWS software development engineers to help customers operate the best solution for AI driven biomolecule design on AWS. You will perform experiments, specify and procure data sets, incorporate commercial and open source models, and push the state of the art in biomolecule design.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
Hybrid Work

- PhD, or Master's degree and 6+ years of applied research experience
- 3+ 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
- Experience building and tuning AI powered molecular design workflows, and an up-to-date knowlege of current Biological Foundation Models (both commercial and open sources) available to customers.

- 5+ years of applied research experience
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience fine tuning bioFMs with real world measurements from an iterative, closed loop workflow.