Understanding of various data storgage formats including XML, JSON, CSV, normalized data, and unstructured data; very significant understanding of SDLC and software engineering concepts and source control systems.
Review internal and external analytical techniques, identify what data is available and relevant, source the necessary data; plan, develop, and apply leading-edge analytic and quantitative tools and modeling techniques to help clients gain insights and improve decision-making.
Perform natural resource surveys including, but not limited to, wetland delineations and functional assessments, wildlife habitat evaluations, protected species surveys and water quality data collection/analysis.
The qualified candidate will have experience in applying biological sciences, wetland and listed species regulations, and water quality regulatory programs in support of a variety of transportation-based projects, such as PD&E Studies and rail and/or aviation projects.
Provide specific mission related tasking and be expected to independently develop the proper approach/solution to comnplex scientific problems related to source physics, propagation, and sensor models.
Perform highly technical and specialized analytical scientist duties, research on assigned problems, and studies in support of Tevas method development, method validation, and complex technical investigation efforts.
We are seeking highly motivated individuals to develop and implement innovative computational approaches for analyzing high throughput genomic and epigenomic data, including but not limited to, integrated cancer risk prediction model, cancer subtype discovery, genomic and epi-genomic data integration, single cell RNA-Seq data analysis, non-coding RNA data analysis, and other datasets.
The Pathology Department is seeking a Research Associate 2. The incumbent will be part of a team investigating T cell based vaccine development and genetics in non-human primates in the laboratory of Dr. David Watkins, in the Department of Pathology.
The incumbent will collaborate on the planning and execution of research projects focusing on the neuroinflammation of eye disorders and will be an integral part of a major scientific effort directed at investigating new mechanisms in retinal development.
The Data Scientist is an experienced statistical/operations research analyst in various analytical disciplines, such as linear and constraint programming, modeling, simulation, time series analysis, text analytics, multivariate analysis, and other various predictive analytics techniques.