Data Architect

Top Skills Required:
AWS Serverless Development – Lambda, SQS, Redshift, DynamoDB, RDS
LIMS Expertise – Dotmatics, Benchling, Genedata in research/drug development
Strategic Architecture – Experience with LLM models (OpenAI, Claude, Gemini, LLaMa)
Programming Proficiency – Python, SQL, R + React/Angular
Cloud-Native Development – Docker, ECS, Agile, monitoring & testing

Job Overview:
We are seeking a Data Architect to design and implement scalable, cloud-based solutions in the Informatics and Predictive Sciences (IPS) department. This role focuses on AWS, LIMS, and AI-driven architectures for drug discovery and research. If you're an experienced AWS cloud architect with LIMS expertise, apply today!

Key Responsibilities:
Design cloud-native architectures for scientific informatics systems
Develop strategic roadmaps and guide engineering teams
Lead early-stage prototypes and transition to full development
Integrate LLM-based AI capabilities into solutions
Collaborate with cross-functional teams to align technical and business goals
Optimize cloud performance, cost, and scalability

Must-Have Requirements:
10+ years in AWS architecture & LIMS management (Dotmatics, Benchling, Genedata)
Hands-on experience with AWS serverless stack
Proficiency in Python, SQL, R, React/Angular
Experience with scientific data systems & AI-driven solutions
Ability to pilot and integrate LLM models into cloud solutions
Strong communication & leadership skills