Amazon.com - Seattle, WA

posted 2 days ago

- Mid Level
Seattle, WA
General Merchandise Retailers

About the position

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. 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.

Requirements

  • PhD, or Master's degree and 4+ years of quantitative field research experience
  • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
  • Experience analyzing both experimental and observational data sets

Nice-to-haves

  • Ability to work within multidisciplinary teams at the interface of life science and computer science.
  • Expertise with cutting life sciences methods and concepts.
  • Familiarity with data analysis tools and methodologies that are commonly used in modern laboratory data analysis.
  • Work with a team of researchers to extend and interpret advanced analytical methodologies.
  • Ability to work successfully within an entrepreneurial environment.
  • Broad familiarity with different areas of the life sciences.
  • Ability to establish and manage external partnerships with key technology partners and collaborators.

Benefits

  • Equity
  • Sign-on payments
  • Full range of medical benefits
  • Financial benefits
  • Other forms of compensation
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