Summary
Lucas Schiffer is a Senior Scientist and biomedical data scientist with a decade of experience building reproducible, scalable computational pipelines and ML-driven analyses for translational research. Trained in epidemiology, biostatistics, and bioinformatics (PhD, MPH), he combines deep expertise in R/Python, Docker/Nextflow, and cloud/Linux cluster environments to manage multimodal multiomics and large BigQuery models. He has designed fundamental data structures (e.g., MultimodalExperiment) and curated tens of thousands of harmonized sequencing and metagenomic samples that enabled high-impact biomarker and survival analyses. At Tempus AI he translated immune-repertoire and multiomics signals into product-ready insights and built RAG-based generative agents and APIs to accelerate scientific workflows. Colleagues describe him as a pragmatic systems thinker who bridges rigorous method development with deployable software, and who brings an unusual blend of clinical insight and production engineering to bioinformatics challenges.
10 years of coding experience
7 years of employment as a software developer
Pre-Medicine/Pre-Medical Studies, Pre-Medicine/Pre-Medical Studies at Columbia University in the City of New York
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Boston University
Bachelor of Business Administration - BBA, Entrepreneurship/Entrepreneurial Studies, Bachelor of Business Administration - BBA, Entrepreneurship/Entrepreneurial Studies at The University of New Mexico
Master of Public Health - MPH, Epidemiology/Biostatistics, Master of Public Health - MPH, Epidemiology/Biostatistics at City University of New York
Pre-Medicine/Pre-Medical Studies, Pre-Medicine/Pre-Medical Studies at Hunter College
Portuguese, Spanish