Description

　　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 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

　　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

　　A day in the life

　　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 to challenge the status quo. 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.

　　The AWS Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. We're here to help them deploy the best, most scalable, most secure, cost effective and easy to operate architectures.

　　About the team

　　Inclusive Team Culture

　　Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. 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.

　　Work/Life Balance

　　Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

　　Mentorship & Career Growth

　　Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

　　We are open to hiring candidates to work out of one of the following locations:

　　Arlington, VA, USA | Boston, MA, USA | New York, NY, USA | Portland, OR, USA | San Diego, CA, USA | San Francisco, CA, USA | Seattle, WA, USA

　　Basic Qualifications

　　3+ years of design, implementation, or consulting experience in applications or infrastructures

　　5+ years within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, machine learning, data & analytics)

　　Must currently be an employee within the AGS (grp@) organization

　　Preferred Qualifications

　　Experience working with bioinformatics and/or computational molecular biology and related software tools and frameworks

　　Experience moving, transforming, processing, and analyzing large scientific computing data sets using common big data, HPC, machine learning, and/or generative AI tools and frameworks

　　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

　　Amazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $122,900/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.