Harrison Reed Email & Phone Number

Framingham, Massachusetts, Us

- Whole-genome NGS Pipeline Research and Development - Individual Contributor- Designs and builds components for bioinformatics analytical pipelines.- Develops comprehensive statistical-analytical tools for research and development objectives.- Uses deep learning methods to model biomarker profiles.- Operates independently to define objectives and invents strategies for detecting relevant biomarkers.

Rockville, Md, Us

Served as a bioinformatics programmer within Emmes’ Bioinformatics Service Group -- the acting Statistical and Data Coordinating Center (SDCC) for the Clinical Research in Infectious Diseases (CRID) contract funded by The Division of Microbiology and Infectious Diseases (DMID), a division of the National Institutes of Allergy and Infectious Diseases (NIAID) -- a subsidiary of the National Institutes of Health (NIH).As a lead bioinformatics programmer, I’ve was given responsibilities over the transcriptomics portion of an Emmes supported CRID contract. Working largely independently, I utilize and curate a workflow to run large RNA-Seq clinical experiments using proprietary tools and AWS Cloud Services - focusing on quality control, normalization, outlier detection, statistical analysis, and dynamic report generation.Also servicing The National MDS Natural History Study (https://pubmed.ncbi.nlm.nih.gov/31111762/), as a bioinformatics programmer for Emmes -- the Data Coordinating Center for the project - funded by the National Hearth, Lung, and Blood Institute (NHLBI). As a lead bioinformatics programmer under this contract, I developed several R-Shiny based reactive web-browsers designed for principal investigators to parse study data to use towards new clinical studies. This effort requires the ongoing curation of patient phenotypic data, clinical outcomes, CBC data, QOL data, demographic, and sequencing data -- which is then packaged into respective interactive web-browsers that can be parsed via filters and displayed with reactive graphs and tables.

Salinas, California, Us

Designed and executed software verification and validation for the first FDA approved Comprehensive Genomic Profiling Diagnostic kit for OncologyCreated simulated Illumiina paired-end sequencing data for use in in-silico experiments. By injecting SNPs, indels, and structural variants into simulated reads -- in-house diagnostic pipeline software was able to be tested at a granular level to meet FDA expectations of quality control. Simulated paired-end reads were also used to mimic in-vitro microsatellite variants found in a selected panel of cancer types. These simulated reads were able to help train an in-house microsatellite detection model.Used bioinformatics tools to discover coverage issues in tandem repeat sequences found within experimental data. Utilized annotation tools to detect and mask these regions, reducing the false positive rate of affected targeted exome sequencing experiments by 30%. Participated in the design of an error correction method used for novel molecular barcodes and sample indexing technology. Used contrived simulations of prospective custom adapters to predict false positive rates before purchase, and then subsequently measuring again post-sequencing.Designed, developed, and tested custom QC workflows and automated Python and Bash scripts to support the validation of sequencing analysis pipelines.Effectively and closely worked with software developers, project managers, lab personnel, marketing associates, and company executives to solve mission critical problems while providing relevant bioinformatics expertise where needed.

Washington, D.C., Us

Part of the GWU-DC Cohort NIH funded research team where the main focus was to utilize Next-Gen sequencing technology for the research of HIV-1 drug resistance and transmission. Primary responsibilities included parsing large datasets of HIV-1 amplicons for drug resistant mutations using publicly available databases. Requires adept level of programming, problem solving, and an ability to adapt experiences to new problems.Relevant Skills:Adept level programming in Python, Perl, and Shell Heavy use of Linux and Linux based softwareAdept molecular/genetic understanding of HIV-1 genomics backgroundAbility to work efficiently with a small teamFamiliarity with Deep Sequencing

Towson, Md, Us

The gene annotation of Geopsychrobacter Electrodiphilus; a microorganism noted for being able to generate energy for a sediment fuel-cell at cold temperatures.Conducted BLAST searches, used NCBI databases, and interpreted homology data.

Master Of Science - Ms, Biotechnology - Bioinformatics

Bachelor Of Science (B.S.), Molecular Biology, Biochemistry, And Bioinformatics