Amazon - San Francisco, CA

posted 5 months ago

Full-time - Senior
San Francisco, CA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

Do you like startups? Are you passionate about leveraging the cutting edge of technology to help develop the next breakthroughs in the field of life science? Are you interested in cloud computing, generative AI, and disrupting innovation? Yes? We have a role you might find interesting. Startups are the large enterprises of the future. These young companies are founded by ambitious people who have a desire to build something meaningful and challenge the status quo. They seek to address underserved customers, or to challenge incumbents. They usually operate in an environment of scarcity: whether that's capital, engineering resource, or experience. This is where you come in. We are looking for technical builders who love the idea of working with early stage life sciences startups to help them as they grow. In this role, you'll work directly with a variety of interesting life sciences customers (such as drug discovery, next gen sequencing, and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You'll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor. As a member of the Life Sciences Startups team, you will work directly with customers to help them successfully leverage cutting-edge AWS technology to innovate in areas like genomics, drug discovery and development, laboratory R&D workflows, structural biology and bioinformatics, medical diagnostics, and more. As well as spending time working directly with customers, you'll also get plenty of time to learn new technologies and keep your skills fresh. We have 200+ services across a range of different categories and it's important that we can help startups take advantages of the right ones. You'll also play an important role as an advocate with our product teams to make sure we are building the right products and features for the startups you work with. And for the customers you don't get to work with on a 1:1 basis you'll share knowledge more broadly by working on technical content and presenting at events.

Responsibilities

  • Help a diverse range of life sciences startups to adopt the right architecture at each part of their lifecycle
  • Support startups in architecting scalable, reliable and secure solutions
  • Support adoption of a broad range of AWS services to deliver business value and accelerate growth
  • Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback
  • Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs
  • Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market

Requirements

  • 8+ years of specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 3+ years of design, implementation, or consulting in applications and infrastructures experience

Nice-to-haves

  • Experience working with bioinformatics, structural biology, and/or genomics and related software tools and frameworks
  • Experience moving, transforming, processing, and analyzing large scientific computing data sets using common big data, HPC, and/or machine learning tools and frameworks
  • Experience supporting or working at organizations tackling drug discovery/development, medical diagnostics/treatment and other areas of life sciences
  • Experience working with software aspects of Life Sciences R&D workflows such as Scientific Data Management Systems, Laboratory Execution Systems, and Electronic Lab Notebooks
  • Understanding of clinical trials management and/or real-world evidence platforms
  • Experience architecting/operating solutions built on AWS

Benefits

  • Flexible working hours
  • Work-life balance
  • Mentorship and knowledge sharing
  • Diversity and inclusion initiatives
  • Employee-led affinity groups
  • Annual learning experiences
  • Innovative benefit offerings
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