Abhimanyu Singh
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Research Scientist Job Description The Global Trait Discovery Informatics (GTDI) group located at the DuPont Knowledge Centre (DKC), Hyderabad, India is currently seeking applications for a highly motivated computational biologist. The GTDI group contributes to research programs in plant biotechnology at the DKC as well as across research centers located in DuPont Pioneer, Johnston, Iowa and at the DuPont Experimental Station in Wilmington, Delaware. We are looking for candidates who have experience in analysis of high-throughput -omics datasets. The researcher will be primarily responsible for analyzing diverse -omics datatypes, such as transcriptomics, proteomics and metabolomics and actively contribute towards building streamlined solutions. The candidate will be part of a diverse team of experimental biologists, computational biologists and software developers. A critical aspect of this position involves working with global teams across multiple locations and will require effective project coordination and communication skills. This is an exciting opportunity for candidates with strong data driven skills, who want to work at the interface of computational and experimental biology and contribute towards scientific discovery. Responsibilities ·Integrate and analyze multiple datatypes in the context of experimental observations with a goal towards formulating testable hypothesis. ·Understanding the research questions from experimental biologists and formulate relevant in silico analyses. ·Establish and implement systematic analysis workflows starting from processing of raw data to biological interpretation. ·Critically analyze a wide variety of experimental data with a view to solving the underlying research questions. ·Identify and generate datasets for scientific testing and evaluation of algorithms. Qualifications PhD in computational biology, bioinformatics, population genetics, complex systems, computer sciences or any relevant physical or mathematical sciences, with experience in analyzing diverse -omics datasets. Job Qualifications Qualifications PhD in computational biology, bioinformatics, population genetics, complex systems, computer sciences or any relevant physical or mathematical sciences, with experience in analyzing diverse -omics datasets. More at http:/ | |
