Need Bioconductor experts to help with the analysis and comprehension of high-throughput genomic data? Hire Experfy freelance Bioconductor experts capable of accessing a broad range of powerful statistical and graphical methods and biological metadata provided by Bioconductor for the analysis of genomic data. Our Bioconductor experts can address the diversity and complexity of computational biology and bioinformatics problems in a common object-oriented framework by accessing to an on-line computational and bioinformatics data sources with a set of statistical simulation and modeling activities and cutting edge data and model visualization capabilities. Further, they can focus on algorithm development and implementation, including creative solutions to large volume data management and processing challenges with the use of R programming language and Bioconductor data representations, and become and maintain familiarity with the bioinformatic needs of your users. Our Bioconductor experts are also familiar with R's S4 object-oriented system, and with core Bioconductor software packages such as GenomicRanges, Biostrings.
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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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