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Field
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, plant pathology, bioinformatics as well as the statistical analysis of collected data. You will also be able to improve science communication experience through the drafting and publishing of scientific
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animal models; (iv) strong statistical and computational analysis skills, including the use of bioinformatics tools or pipelines; and/or (v) experience with analytical platforms such as chromatography and
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pathology, bioinformatics, comparative evolution and other areas. You will also have opportunities to attend scientific conferences for presenting the research results and establish collaborative networks
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, such as DNA/RNA isolation, PCR, qPCR, cloning, Western blotting and immunoprecipitation, knowledge of bioinformatic analysis of genome-wide data would be an additional asset, the ability to plan, conduct
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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), bioinformatics, or theoretical ecology (modeling) research in peer-reviewed scientific journals ● Experience in programming in R, Python, or a similar programming language. ● A demonstrated commitment to
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of widely prescribed medications. Work will include development of bioinformatic pipelines and assessment of genomic signals in drug response through genome-wide and multi-omics studies. Researchers with
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of human serum, plasma, urine or other clinical samples RT-qPCR, RNA sequencing or other molecular/omics techniques bioinformatics, biostatistics or integration of molecular and clinical data Hands
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, design, plan, and execute wet-lab experiments, conduct bioinformatic and statistical analyses, and write peer-reviewed journal articles. Key Responsibilities Design and implement experiments that pair
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. Rinki Ratnapriya at Baylor College of Medicine. Dr. Ratnapriya's lab focuses on harnessing the power of genomic technologies to address translational and clinical bioinformatic challenges pertaining