David Williamson

WORK HISTORY

EDUCATION

SKILLS

ABOUT DAVID WILLIAMSON

Bioinformatics scientist and molecular biologist with 26 years experience developing clinical diagnostics and computational workflows in the immunology and oncology genomic spaces. Specialized developing AI/ML solutions on AWS. 17 peer reviewed scientific publications.Senior bioinformatics and cloud solutions leader specializing in AI/ML and GenAI systems on AWS for life sciences and molecular diagnostics.I bring 26+ years of experience designing, validating, and scaling production bioinformatics and data platforms across genomics, oncology, immunology, and clinical diagnostics—bridging scientific rigor with cloud-native architecture.My work spans end-to-end system design: from NGS and multi-omics pipelines to AI/ML and emerging agentic workflows, delivered on AWS with an emphasis on security, scalability, cost efficiency, and regulatory readiness (CLIA, clinical production environments).I’ve led bioinformatics and data engineering efforts at organizations including Illumina, Adaptive Biotechnologies, TwinStrand Biosciences, and Strand Life Sciences—owning architecture decisions, customer-facing technical strategy, SOW development, and execution.Today, I focus on designing and explaining complex AI-enabled systems for pharmaceutical and biotech organizations—whether as an independent consultant, solutions architect, or technical sales leader. I’m particularly interested in platforms that operationalize GenAI, ML, and agentic systems for real scientific and clinical impact.Core strengths:• AWS cloud architecture (compute, data, security, cost optimization)• AI/ML & GenAI systems (SageMaker, Bedrock, RAG, agentic workflows)• Clinical genomics & diagnostics (NGS, MRD, regulated pipelines)• Translating complex systems for executives, customers, and partnersCurrent focus: AWS Solutions Architecture, Generative AI systems, and go-to-market technical leadership in life sciences.