Dave Robbins
Head of Data Science and Bioinformatics @ Cellanome
About
I've spent 20+ years asking one question: what does the genome tell us that we can't see any other way?That question has taken me from essential gene discovery in S. aureus to iPSC-derived CAR-T and NK cell therapy, from Illumina sequencing facility operations to ML-driven automated analysis platforms — and along the way, I've built the bioinformatics infrastructure behind multiple IND filings, been named inventor on 7 patents, and co-authored 25 publications in journals including Blood and Science Translational Medicine.Today, as Head of Data Science and Bioinformatics at Cellanome, I lead an 11-person team building next-generation multiomic characterization tools for cell therapy:→ PhenoSight — an end-to-end automated platform integrating scRNA-seq, CITE-seq, deep immunophenotyping, memory phenotyping, functional state scoring, KEGG pathway analysis, and metabolic fitness into client-ready CAR-T characterization reports→ BugFinder — an NGS-based microbial contamination detection pipeline supporting GMP sterility assessment and regulatory compliance→ ML-driven automated gating, phenotype classification, and signal-to-noise discrimination — replacing manual review with reproducible, scalable computational decisionsBefore Cellanome, I spent 12 years at Fate Therapeutics, where I grew the Genomics department from 0 to 13 scientists, built the AWS cloud bioinformatics infrastructure, led CRISPR functional genomics screens, and contributed to the genomics packages for multiple IND submissions — including for ProHema and ProTmune.What I bring to the table is unusual: I can architect a cloud pipeline, interpret a clonotype distribution, present to a C-suite, and write a methods section. That range — from bench to boardroom — is what the next generation of cell therapy platforms needs.Open to connecting with leaders in cell therapy, precision medicine, and computational biology.
United States
San Diego Metropolitan Area
Biotechnology
Cell Therapy, Immunotherapy, Machine Learning, Artificial Intelligence (AI), Data Science, Chimeric Antigen Receptor, ChIP-seq, Datasets, Biostatistics, Data Manipulation, Transcriptomics, Microsoft Access, Project Management, Python (Programming Language), R (Programming Language), Linux, Next-Generation Sequencing (NGS), Team Leadership, Recombinant DNA, Molecular Cloning
Experience

Head of Data Science and Bioinformatics
San Diego, CA
• Transitioned from Resilience following acquisition. • Built and lead an 11-person data science and bioinformatics team from the ground up, defining departmental vision, hiring strategy, and operational processes • Architected PhenoSight — an automated, end-to-end multiomic characterization platform for CAR-T and PBMC profiling, integrating scRNA-seq, CITE-seq, memory phenotyping, functional state scoring, KEGG pathway analysis, and metabolic fitness into automated client-ready reports • Developed BugFinder — an NGS-based microbial detection pipeline using STAR host-read depletion and Bowtie2 alignment against a proprietary rRNA reference database, enabling sequencing-driven sterility assessment that complements culture-based GMP testing • Drove ML/AI integration across both platforms: automated gating and centroid-based phenotype classification (PhenoSight); signal-to-noise discrimination algorithms (BugFinder) • Serve as client-facing technical lead — delivering platform demonstrations, supporting business development, and presenting to prospective biopharma partners • Lead cross-functional strategy and C-suite communication, translating complex genomic characterization data into manufacturing go/no-go decisions for cell therapy programs

Director, Genomics
San Diego County, CA
• Recruited and led a joint computational and wet lab team of 13 (9 PhD scientists + 4 research associates); drove enterprise bioinformatics strategy and vision • Directed transition to AWS cloud infrastructure (Dev/UAT/Production) with integrated ML algorithms; oversaw 7-instrument Illumina and Ion Torrent sequencing facility and all NGS assay development • Led functional genomics discovery group using CRISPR perturbation screens and NGS readouts to enhance cell therapy product efficacy • Served as key genomics liaison across Discovery Biology, R&D, Process Development, Translational Science, and external KOL/corporate partners

Associate Director, Genomics
San Diego, CA
• Managed a 7-person wet lab and computational team; delivered NGS analysis pipelines in Python across R&D, Process Development, and Translational Science • Spearheaded single-cell and spatial transcriptomics of iPSC-derived cells (10X scRNA-seq, CITE-seq, spatial transcriptomics) and structural variant calling on iPSC-derived CAR iNK/iT WGS/WES data for IND safety profiling • Containerized NGS pipelines in Docker/Snakemake; built org-wide R Shiny genomics data visualization application • Co-contributed to IND filings for ProHema and ProTmune iPSC-derived cell immunotherapy products

Senior Manager, Bioinformatics
San Diego, CA
• Subject matter expert in genomics and NGS; led wet lab teams developing molecular and analytical assays (NGS, Affymetrix microarray, qPCR) • Developed NGS-based HTS small molecule screening assays and targeted RNA-seq gene panels directly contributing to Fate's second-generation HSC transplantation IND • Led preclinical studies, process development, and CMC for ProHema and ProTmune IND filings

Senior Scientist/Principal Investigator
San Diego, CA
• Led a 6-member CRO R&D team specializing in molecular detection assays and bioinformatics for rare cell and nucleic acid detection — work that continued through ICx Biosystems' acquisition of GHC • Developed custom digital multiplex qPCR and STR DNA detection assays for fetal cell quantification in maternal blood and ctDNA mutation detection • Conducted Affymetrix GeneChip transcriptome analysis for small molecule candidates in melanoma treatment and HSC enhancement • Managed internal research budget, client milestone reporting, and project delivery across multiple contracted engagements

Product Manager
Rigaku Automation Inc.
Carlsbad, CA
• Provided scientific and technical support for protein crystallography liquid handling solutions; translated customer feedback into engineering and software requirements • Developed custom image analysis software (Visual Basic) for high-throughput protein crystal scoring • Authored product specification sheets and technical application notes; led factory and site acceptance testing

Research Biologist
Merck Research Labs/Elitra Pharmaceuticals
San Diego, CA
• Designed and executed molecular biology and microbiology assays for novel antibiotic drug discovery; contributed to target identification and lead compound validation • Built and maintained automated data analysis pipelines and relational databases (Perl, Visual Basic, MS Access) to support high-throughput screening operations • Transitioned from Elitra Pharmaceuticals (acquired) to Merck Research Labs, maintaining continuity of anti-infective research programs
Dave Robbins's Contact Information
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