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, high-throughput screening and cell-based screening (e.g., luciferase assays, high-content imaging, massively parallel/multiplexed assays, etc.) is desirable but not required. • Ability to interpret and
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experience and skills: Fluency in either Python programming, including regular expressions, version control and collaboration with git, standard packages (e.g., pandas, numpy, matplotlib), and at least one
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. Qualifications Required: A Ph.D. degree with focus on computer science or a related field Experience in programming (C/C++ or Java, Python, etc.), ideally in a scientific setting Ability and desire to
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science or related fields. Statistical and programming skill such as R and the use of UNIX/LINUX is required. Experience in genetic and bioinformatics data analysis is desirable. Application address
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, bioinformatics, biostatistics, computer science, or a related field. Statistical and <b>programming</b> skills, such as R and the use of UNIX/LINUX, are required. Experience in genetic and bioinformatics data analysis is desirable. Application address: Applicants could contact Kevin Lu for more...
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-scale genomic studies Skills in colocalization and Mendelian randomization Proficiency in programming (R, Python, or Perl) and experience with Linux or high performance clusters Strong analytical
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. • Excellent written and oral communication skills. • Good computer skills. Programming skills or statistical analytic skills a plus. • Ability to work independently and to collaborate with a variety
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/statistical analyses in one or more of the following programming environments: R, Python, bash, MATLAB, JAVA, etc. 4. Experience using computing clusters (batch processing), cloud computing services, and
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with large-scale human omics (preferably related to neurodegeneration) studies is expected. • He/she would have solid skills in at least one programming language (R, python or perl) and experience