Innovators wanted! Are you an entrepreneur A builder A dreamer This role is part of an Amazon Special Projects team that takes the companys Think Big leadership principle to the limits. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If youre interested in innovating at scale to address big challenges in the world this is the team for you.
Here at Amazon we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employeeled affinity groups reaching 40000 employees in over 190 chapters globally. We are constantly learning through programs that are local regional and global. Amazons culture of inclusion is reinforced within our 16 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
As a Applied Scientist at the intersection of machine learning and the life sciences you will participate in developing exciting products for customers. Our team rewards curiosity while maintaining a laserfocus in bringing products to market. Competitive candidates are responsive flexible and able to succeed within an open collaborative entrepreneurial startuplike environment. At the forefront of both academic and applied research in this product area you have the opportunity to work together with a diverse and talented team of scientists engineers and product managers and collaborate with others teams.
PhD in life sciences or related field 4 years of research experience 2 years of directlyrelated commercial or academic postgraduate experience.
Ability to work within multidisciplinary teams at the interface of life science and computer science. Expertise with cutting edge life science methods and concepts. Familiarity with data analysis tools and methodologies that are commonly used in modern data analysis. Work with a team of researchers to extend and interpret advanced analytical methodologies.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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