Open to opportunities

James Guo

@jamesguo2

Senior bioinformatics AI/ML engineer building production genomics pipelines and trustworthy, automated clinical reporting.

United States

Message

What I'm looking for

I’m looking to build scalable, reproducible bioinformatics and AI-enabled reporting pipelines—partnering with scientists on trustworthy RAG-based systems, strong data validation/QC, and CI/CD-driven engineering that speeds delivery.

I’m a Senior Bioinformatics AI/ML Engineer with 8+ years building production bioinformatics applications and clinical genomics workflows—data pipelines, reproducible scientific software, and AI-assisted engineering workflows. At Tempus AI, I developed RAG workflows that ground AI-generated responses in trusted primer-design rules, genomic references, QC summaries, and report-generation logic, improving consistency for downstream review and reporting.

I also build reliable, scalable data platforms: schema validation, metadata lineage tracking, reconciliation checks, and automated quality controls across thousands of records. Using Python, FastAPI, Django, Docker, and CI/CD—and leveraging Claude Code to automate test creation, refactoring, and pipeline component generation—I modernize fragmented analysis into repeatable systems that reduce repetitive manual effort (40%) and accelerate delivery of production-grade features.

Experience

Work history, roles, and key accomplishments

Current

Senior Bioinformatics AI/ML Engineer

Current

Tempus AI

Sep 2023 - Present (2 years 9 months)

Built AI-enabled bioinformatics applications for genomic review and automated report drafting, including RAG workflows grounded in trusted primer-design rules and genomic outputs. Reduced repetitive sequence-review effort by 40% and supported reproducible QC and reporting across 10,000+ analysis records.

Python fastAPI Django RAG LLM Applications Docker CI CD PostgreSQL

Senior Bioinformatics Engineer

Fulgent Genetics

Feb 2019 - Sep 2023 (4 years 7 months)

Developed and maintained infectious-disease genomics workflows, including PCR/primer evaluation, NGS data review, and reproducible scientific reporting. Reduced repetitive manual analysis work by 40% and automated multi-stage processing with metadata tracking, validation checks, and reconciliation for downstream reporting.

Python BASH SQL BLAST In Silico PCR Metadata

Bioinformatics Software Engineer

Thermo Fisher Scientific

Aug 2017 - Feb 2019 (1 year 6 months)

Supported bioinformatics software development for sequence analysis and laboratory workflow automation, including data validation, metadata tracking, and scientific reporting tools. Built parsers and validation utilities and helped maintain backend services and database models for sample and analysis traceability, improving data integrity and operational reliability.

Python Primer Validation GC% Calculation Tm Estimation Data Validation Metadata Backend Services