AI-Driven Cloud Architect for Life Sciences R&D & Clinical

Amazon

New York (NY)

On-site

USD 201,000 - 272,000

Full time

14 days+
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Job summary

Amazon Web Services (AWS) Professional Services seeks an experienced Specialist ProServe Cloud Architect in Healthcare and Life Sciences to lead data and context layer architectures for AI-native workflows across R&D and Clinical Development.

You'll advise senior HCLS executives, shape GTM offerings, and design scalable, secure architectures on AWS that unlock AI opportunities from discovery to late-stage trials, collaborating with internal teams and partners.

Qualifications

  • 7+ years solving problems with technology in Healthcare/Life Sciences
  • 7+ years working with Data & AI technologies incl. AI/ML, GenAI, Analytics, Database, or Storage
  • Bachelor's degree in CS, Math, Stats, ML or equivalent quantitative field
  • 7+ years with Data & AI in Life Sciences R&D and Clinical Development contexts—knowledge graphs, ontologies, data lakes, AI/ML, GenAI
  • 7+ years driving professional services business development, opportunity shaping, or pre-sales for R&D/clinical data platforms, AI/ML, or digital transformation in pharma/biotech

Responsibilities

  • Serving as the practice's dedicated specialist and deep domain expert in R&D across Amazon BioDiscovery and AI-native research
  • Developing GTM strategies, offerings, and accelerators for data and context layer space spanning research and clinical
  • Counseling HCLS executives to explore AI-driven transformation from discovery through late-stage trials
  • Collaborating with internal teams to innovate AWS solutions, services, accelerators, and demos
  • Designing complex, scalable, and secure data foundation, ontology-orchestration, and Agentic AI architectures on AWS
  • Driving large, complex opportunities from ideation to sales closure and de-risking delivery
  • Acting as trusted advisor on trends in R&D and clinical AI, data architectures, knowledge representation
  • Leading senior engagement on AI-native drug discovery programs, clinical data platform modernization

Skills

AI/GenAI expertise
R&D data architecture
Professional services

Education

Bachelor's degree in Computer Science, Math, Statistics, ML or equivalent

Tools

EC2
S3
Redshift
EMR

Job description

Amazon Web Services (AWS) Professional Services seeks an experienced Specialist ProServe Cloud Architect in Healthcare and Life Sciences to lead data and context layer architectures for AI-native workflows across R&D and Clinical Development.

You'll advise senior HCLS executives, shape GTM offerings, and design scalable, secure architectures on AWS that unlock AI opportunities from discovery to late-stage trials, collaborating with internal teams and partners.

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