Job ID: 2798917 | Amazon.com Services LLC
Innovators wanted!
Are you an entrepreneur?
A builder?
A dreamer?
This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the extreme.
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 you're interested in innovating at scale to address big challenges in the world, this is the team for you.
As an Research Scientist, you will work with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams.
Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market.
At the cutting edge of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers.
Here at Amazon, we embrace our differences.
We are committed to furthering our culture of inclusion.
We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.
We are constantly learning through programs that are local, regional, and global.
Amazon's 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.
Our team highly values work-life balance, mentorship and career growth.
We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.
We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.
BASIC QUALIFICATIONSMaster's degree, or Bachelor's degree and 5+ years of quantitative field research experienceExperience investigating the feasibility of applying scientific principles and concepts to business problems and productsExperience analyzing both experimental and observational data setsPREFERRED QUALIFICATIONSExpertise with cutting edge life science-related tools and conceptsDemonstrated experience developing, optimizing, or scaling new methodologiesExcellent analytical and organizational skills, with great attention to detail and record keeping.Familiarity with data analysis tools and methodologies that are commonly used in modern laboratory data analysis.Work hands-on within a team of researchers to extend and interpret advanced methodologiesAbility to work successfully within an entrepreneurial environmentAbility to work within multidisciplinary teams at the interface of life science and computer scienceFacilitate interactions with collaborators, both internal and externalAmazon is committed to a diverse and inclusive workplace.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Posted: October 11, 2024 (Updated about 4 hours ago)
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