AWS Life Sciences Applied AI: Protein Design & Clinical Innovation

Role

Member of Technical Staff, Sr. UX Design Lead, Cross-functional Team Lead

Protein language models
Drug discovery acceleration
Clinical trial automation
90% documentation time reduction

The Mission

Leading product development for AI-driven protein design and antibody engineering within the AWS Applied AI organization. Our team accelerates innovation in life sciences by creating turnkey solutions that solve complex, real-world problems throughout the drug and therapeutic development process, leveraging Amazon's unique cloud infrastructure and AI capabilities.

As part of the AWS Applied AI vision, we provide business applications used by millions of companies worldwide to manage day-to-day operations. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions where customers prefer to buy over build.

The Impact

Defining novel generative AI agent-based experiences for life sciences researchers, integrating computational design pipelines with laboratory workflows. Working with industry partners toachieve 90% reduction in clinical documentation timethrough agentic AI automation.

Our initiatives span the entire drug development lifecycle, from early-stage protein engineering and biomarker discovery to clinical trial optimization and regulatory compliance, all while maintaining the highest standards for GxP compliance and data security.

Key Focus Areas

Accelerating life sciences innovation through generative and agentic AI

90%
Time Reduction
Clinical documentation
pLMs
Protein Models
AlphaFold, RFDiffusion
GxP
Compliance
Regulatory workflows
AI
Agents
Clinical trials automation

Life Sciences Innovation Areas

Protein Structure Visualization

Protein Design & Engineering

Leading product development for AI-driven protein design and antibody engineering, leveraging advanced protein language models (pLMs) like AlphaFold, RFDiffusion, and ProteinMPNN. OurAWS HealthOmics platform now includes protein language model orchestration capabilitiesthat streamline protein engineering for drug development applications.

This work focuses on creating efficient systems for rational therapeutic design, integrating computational design pipelines directly with laboratory workflows to accelerate the path from digital protein models to validated therapeutic candidates.

1
Protein language model orchestration
2
Computational-lab workflow integration
3
Rational therapeutic design systems

Genomics & Omics Analysis

ExpandingAWS HealthOmics platform capabilitiesfor genomic, transcriptomic, and multi-omics data analysis. This service helps transform complex genomic data into actionable insights, accelerating research and development timelines.

Our AI-powered solutions enable biomarker discovery, competitive intelligence analysis, and high-throughput modeling while facilitating secure, multi-party data collaborations for research. The platform's ability to handle large-scale data and run analysis jobs efficiently helps speed up the development cycle for new therapeutics.

1
Multi-omics data transformation
2
AI-powered biomarker discovery
3
Secure multi-party data collaboration
Molecular Structure Model
Biology and UX Fusion

Science Meets UX Innovation

Translating complex scientific concepts into intuitive product experiences, reimagining researcher workflows, and building scalable solutions that bridge the gap between computational biology and practical laboratory applications. This unique intersection ofscientific expertise and product leadershipenables breakthrough innovations in healthcare technology.

Leading cross-functional teams of product managers, research scientists, engineers, and business stakeholders to invent and simplify on behalf of life sciences researchers. This involves adopting new machine learning techniques, reimagining user workflows, and fundamentally changing the state of practice in computational biology.

1
User-centered scientific workflows
2
Complex-to-simple experience design
3
Cross-functional team leadership

Clinical Trial Automation

DevelopingAI agent applications for clinical trials automation, cutting documentation time by 90% and accelerating the most time-consuming and expensive steps of clinical trials to get new therapeutics to market faster for better patient outcomes.

Our solutions power the entire clinical development process, including enabling more effective and inclusive decentralized clinical trials, while ensuring GxP compliance and automating regulatory validation workflows. We're also developing capabilities for adverse event detection and personalized patient engagement through interactive AI chatbots.

1
Clinical documentation automation (90% time reduction)
2
Protocol generation and study design optimization
3
Decentralized trials and patient engagement platforms
AI-Led Clinical Trials

Our Vision & Impact

"Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions that accelerate life sciences innovation."

Learn more aboutAWS Applied AI leadershipand our mission to transformhealthcare and life sciencesthrough seamless science and connected care.