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David Robson

@davidrobson

I lead AI-ready clinical data platforms and predictive analytics for life sciences.

United States
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What I'm looking for

I’m looking for a senior, high-ownership role where I can build and ship AI-powered products end to end. I’m especially interested in TypeScript, React, RAG, embeddings, multimodal AI, agent workflows, and cloud platforms. I value fast-moving teams, strong engineering standards, and opportunities to influence architecture and product decisions.

At Conduent, I lead data scientists and engineers building AI-ready clinical data platforms for oncology and genomics, integrating EHR, FHIR, imaging, and genomic data. I reduced data processing latency by 60% and delivered predictive models that improved accuracy by 17% while reducing inference latency by 45%.

Previously, I built NLP and risk analytics systems at Capital One that reduced manual document review by 40%, improved retrieval accuracy from 68% to 84%, and saved 8,000+ analyst hours annually. My work spans Python, SQL, cloud data architecture, machine learning, and production data pipelines across healthcare, finance, and product telemetry.

Experience

Work history, roles, and key accomplishments

Conduent Incorporated logoCI
Current

Data Analytics Lead

Jan 2021 - Present (5 years 9 months)

Led a team of data scientists and engineers to upgrade clinical data architecture, enabling AI readiness and high-fidelity analytics for oncology and genomics workflows. Directed integration of clinical and genomic data into customer systems, ensuring secure and compliant data flows.

Education

Degrees, certifications, and relevant coursework

Cornell University logoCU

Cornell University

Master of Engineering, Computer Science

2010 - 2011

Master of Engineering in Computer Science from Cornell University, completed in 2011.

The University of Texas at Austin logoTA

The University of Texas at Austin

Bachelor of Science, Computer Science

2006 - 2010

Bachelor of Science in Computer Science from The University of Texas at Austin, completed in 2010.

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