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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 19 days ago
sequencing and/or GWAS datasets Experience in data visualization Knowledge and experience in bioinformatic programming using Linux, R, and Python Excellent analytical, organizational, and problem-solving
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pipelines and R, Python and/or command-line tools; a strong publication record appropriate to career stage, demonstrating scientific excellence and the ability to lead high-quality research through
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proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to the candidate’s career stage; The ability to work both
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representations and their alignment with humans Development of Python code Collaboration on publicly funded projects Publication of research papers and patents Travel to international conferences, participation in
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contributing to open-source Python packages released alongside the methods papers, including close collaboration with the second postdoc on a shared publication pipeline. You will report to the AIMS principal
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. Programming experience in a language such as Python or R. Experience working in a cloud environment such as Microsoft Azure. Experience in writing grant proposals and scientific publications. Strong
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Python and experience working in Linux and high-performance-computing environments. Experience developing or using automated and reproducible computational research workflows. Ability to conduct
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-programming skills using Python, MATLAB, R, or an equivalent platform, including experience developing reproducible computational workflows. Demonstrated ability to conduct independent research, formulate data
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programming skills in Python and/or R; experience with SQL and Linux/Unix is desirable. • Demonstrated research experience in biomedical informatics, artificial intelligence (AI), machine learning, or data
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
requires utilizing Python and R to process complex RNA-seq datasets, including differential gene/isoform expression and isoform switching. The researcher will also engage in cancer genomics workflows