Pang-Kuo Lo
Assay Development Team Lead, Study Director, Bioinformatics Scientist, Biostatistician @Noble Life Sciences Inc
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WORK HISTORY
Assay Development Team Lead, Study Director, Bioinformatics Scientist, Biostatistician @Noble Life Sciences Inc
Led project management for preclinical GLP and non-GLP studies (oncology, immuno-oncology, therapeutics).• Designed and validated analysis pipelines ensuring GLP compliance, reproducibility, and regulatory adherence.• Developed R and SAS scripts to streamline statistical workflows, cutting subcontractor costs.• Performed large-scale omics analysis (RNA-Seq, qPCR, dPCR), including eQTL and differential expression using Bioconductor (DESeq2, Limma-voom).• Integrated RNA-seq and proteomic data to identify disease-related biomarkers and molecular signatures.• Built and deployed R Shiny applications for interactive data visualization, enhancing scientific decision-making.• Designed qPCR/dPCR assay workflows and SOPs, expanding biodistribution study offerings as Analytical Services SME.• Directed IQ/OQ/PQ validation for analytical instruments and SAS software, ensuring GLP-aligned operations.• Collaborated with cross-functional teams to communicate analytical insights and optimize experimental strategies.
EDUCATION
Taipei Medical University
Bachelor of Pharmacy - BPharm, Pharmacology
National Yang Ming University
Master of Science - MS, Biochemistry and Molecular Biology
University of Maryland Global Campus
Graduate Certificate - Bioinformatics, Bioinformatics
University of Maryland Global Campus
Master of Science - MS, Biotechnology - Bioinformatics
National Yang Ming University
Doctor of Philosophy - PhD, Biochemistry and Molecular Biology
ABOUT PANG-KUO LO
A motivated scientist of Biomedical Research and Data Science has expertise in Bioinformatics, Computer Programming Languages (Python and Java) and Biostatistics Analysis using R and SAS. Possessing knowledge and experience in cutting-edge techniques and analyses of next-generation sequencing/high throughput sequencing, especially single-cell RNA-seq. Experience in applying genomics and bioinformatics to elucidating molecular mechanisms underlying cancer development.
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