Amazon
Principal Solutions Architect, Biomolecule design, HealthAI
Amazon, Seattle, Washington, us, 98127
Job ID: 2772044 | Amazon Development Center U.S., Inc.
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button. We are seeking an experienced and innovative AWS Solutions Architect to help customers design and implement AI-powered workflows for biomolecule design. In this role, you will partner with life sciences organizations to architect scalable, secure, and high-performance cloud solutions on AWS that accelerate drug discovery and development. You will leverage AWS’s suite of AI and machine learning services, along with industry-specific tools, to enable customers to build, deploy, and optimize workflows for the design, analysis, and validation of biomolecules, such as proteins, enzymes, and antibodies.
As a key technical advisor, you will guide customers through the process of building cloud-native architectures that integrate AI/ML models with complex biological datasets. You will work closely with data scientists, computational biologists, and bioinformaticians to ensure the solutions meet both scientific and business objectives. Your role will also involve collaborating with internal AWS teams to refine and evolve best practices, ensuring the seamless adoption of AI-powered solutions in the field of biomolecule design.
Key job responsibilities
Design and implement cloud architectures that provide state-of-the-art AI-driven biomolecule design workflows and results. Collaborate with life sciences customers to understand their specific challenges and tailor AWS solutions to their needs. Integrate AWS services for life sciences, such as AWS HealthOmics and Amazon SageMaker, with bioinformatics and biomolecule design tools and models. Provide technical guidance on security, scalability, and cost optimization for cloud solutions. Work closely with cross-functional AWS teams to support customer success and drive the adoption of AI-powered workflows in the life sciences. Stay current with industry trends in bioinformatics, computational biology, and AI, applying the latest innovations to customer projects.
BASIC QUALIFICATIONS - Bachelor's degree in computer science, engineering, mathematics or equivalent - Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications - 10+ years of experience solving Life Sciences problems with applied computing (e.g. bioinformatics, computational chemistry, ML modeling, structure prediction, effect prediction, etc.)
PREFERRED QUALIFICATIONS - Knowledge of large scale automation and workflow management or equivalent - Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers - Up to date knowledge of AI models for Life Sciences, specifically Biological Foundation Models (BioFMs)
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.
Posted:
November 8, 2024 (Updated about 1 hour ago) Posted:
October 8, 2024 (Updated about 6 hours ago) Posted:
January 8, 2025 (Updated about 9 hours ago)
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Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button. We are seeking an experienced and innovative AWS Solutions Architect to help customers design and implement AI-powered workflows for biomolecule design. In this role, you will partner with life sciences organizations to architect scalable, secure, and high-performance cloud solutions on AWS that accelerate drug discovery and development. You will leverage AWS’s suite of AI and machine learning services, along with industry-specific tools, to enable customers to build, deploy, and optimize workflows for the design, analysis, and validation of biomolecules, such as proteins, enzymes, and antibodies.
As a key technical advisor, you will guide customers through the process of building cloud-native architectures that integrate AI/ML models with complex biological datasets. You will work closely with data scientists, computational biologists, and bioinformaticians to ensure the solutions meet both scientific and business objectives. Your role will also involve collaborating with internal AWS teams to refine and evolve best practices, ensuring the seamless adoption of AI-powered solutions in the field of biomolecule design.
Key job responsibilities
Design and implement cloud architectures that provide state-of-the-art AI-driven biomolecule design workflows and results. Collaborate with life sciences customers to understand their specific challenges and tailor AWS solutions to their needs. Integrate AWS services for life sciences, such as AWS HealthOmics and Amazon SageMaker, with bioinformatics and biomolecule design tools and models. Provide technical guidance on security, scalability, and cost optimization for cloud solutions. Work closely with cross-functional AWS teams to support customer success and drive the adoption of AI-powered workflows in the life sciences. Stay current with industry trends in bioinformatics, computational biology, and AI, applying the latest innovations to customer projects.
BASIC QUALIFICATIONS - Bachelor's degree in computer science, engineering, mathematics or equivalent - Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications - 10+ years of experience solving Life Sciences problems with applied computing (e.g. bioinformatics, computational chemistry, ML modeling, structure prediction, effect prediction, etc.)
PREFERRED QUALIFICATIONS - Knowledge of large scale automation and workflow management or equivalent - Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers - Up to date knowledge of AI models for Life Sciences, specifically Biological Foundation Models (BioFMs)
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.
Posted:
November 8, 2024 (Updated about 1 hour ago) Posted:
October 8, 2024 (Updated about 6 hours ago) Posted:
January 8, 2025 (Updated about 9 hours ago)
#J-18808-Ljbffr