Scott Van Buren
Scientific Investigator In Computational Biology - Clinical Biomarker Analytics
Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolScott Van Buren is a computational biologist and PhD-trained biostatistician with a decade of experience developing statistical methods and pipelines for RNA-seq and single-cell analyses in translational and neuroscience settings. Currently a Scientific Investigator at GSK, he blends high-performance computing, Bioconductor/R programming, and compositional measurement-error modeling to extract robust biomarker and transcriptomic insights for clinical research. His dissertation work on incorporating quantification uncertainty into differential transcript usage spawned an R package (CompDTUReg) and a bioRxiv preprint, demonstrating a commitment to reproducible open methods. Prior roles at Harvard and UNC showcase his ability to translate complex single-cell and multi-omic datasets into actionable biological hypotheses for non-computational stakeholders. Notably, he pairs rigorous statistical training with applied experience in proteomics (Olink) and cluster-based HPC workflows, making him effective at moving methods from development into translational impact.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Economics, summa cum laude, Bachelor of Science (BS), Economics, summa cum laude at Arizona State UniversityMaster of Science (MS), Biostatistics, Master of Science (MS), Biostatistics at University of North Carolina at Chapel Hill
Github Skills (21)
seq10
sequencing9
rna-seq9
python-bindings9
genomics8
bioinformatics8
differential-expression5
tsne4
transcriptomics3
microbiome3
bioconductor3
quantile3
seurat2
evaluation2
single-cell-genomics2
Programming languages (3)
Github contributions (5)
skvanburen/CompDTUReg
Jul 2019 - Oct 2020
Contributions:99 commits, 43 pushes, 2 comments in 1 year 2 months
skvanburen/CompDTUPaperCode
May 2020 - Dec 2021
Contributions:8 pushes in 1 year 6 months
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