Research Scientist II, Special Projects

Amazon Inc.

Omaha (NE)

Híbrido

USD 136.000 - 184.000

Jornada completa

Hace 5 días
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Descripción de la vacante

Amazon.com Services LLC is seeking researchers to innovate at the interface of life science and computer science. Join a multidisciplinary team to extend and interpret advanced analytical methodologies and deliver impactful, new products and services.

A strong emphasis on data analysis and collaborative research characterizes this role. Applicants should hold a PhD or Master’s degree and have 3+ years of industry experience, with a track record in life science and data analytics.

Formación

  • PhD or Master's degree in a relevant field.
  • 3+ years of industry work experience.
  • Ability to work within multidisciplinary teams at the interface of life science and computer science.

Conocimientos

Multidisciplinary teams
Life science methods
Data analysis tools
Advanced analytical methodologies

Educación

PhD/Master's degree

Descripción del empleo

Job ID: 10493408 | 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.
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 Qualifications
  • PhD, or Master's degree
  • 3+ years of industry work experience
Preferred Qualifications
  • 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.
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 .

Preferred Qualifications
  • 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.
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 - 136,000.00 - 184,000.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.

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