Amazon Senior Solutions Architect Life Sciences Startups AWS 

United States, California, San Francisco 

670347853

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 bioinfomatics, 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.Key job 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
- Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs
A day in the life

- 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

- 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 AWSPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.