Need RNA Sequencing experts to analyze the presence and quantity of RNA in a biological sample at a given moment in time? Hire Experfy freelance RNA Sequencing experts capable of leveraging RNASeq analysis, and methods to assign raw sequence reads to genomic features such as assemble the transcriptome, and De novo to reconstruct the transcriptome. Our RNA Sequencing experts can compare gene expression between conditions, such as drug treatment vs. non-treated, and find out which genes are up- or down-regulated in each condition with RNA Sequencing. Further, they can identify sequencing reads per gene and compare them between samples. They can apply RNA-seq library preparation and Next Generation Sequencing (NGS), elementary analysis of RNA-Seq data, and teach novel systems biology techniques like single-cell RNA-Sequencing to profile responses. Our RNA Sequencing experts can also develop or extend in-house workflow to streamline RNA-seq data analysis workflow and visualization.
Hire Experfy vetted freelance RNA Sequencing experts capable of analyzing RNA Sequencing datasets and developing novel pipelines and computational approaches for RNA-Seq data analyses.
Investigator at Lieber Institute for Brain Development
US | Baltimore, MD
My greatest strength is leveraging data analytics to find concrete solutions for problems that individuals or companies want to solve. I often serve as the interface between data generators and higher-level management, which has created a useful combination of technical knowledge and skills with bigger picture thinking towards the future. I received my PhD in Epidemiology with a concentration in Human Genetics and a concurent Masters of Health Sciences in Bioinformatics from Johns Hopkins University in 2011. I am currently the lead Biostatistician at a non-profit research institute in Baltimore, overseeing a small team and collaborating with diverse research groups throughout the institute. My specialities include:
- the design, analysis, and interpretation of large-scale genomic studies relating to human health and disease
- analyzing clinical population-level data by linking multiple sources of data
My research and professional experience is most relevant to pharmaceutical and health care industries, but may also be relevant to insurance and financial industries.
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