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, professional, punctual, and able to work in teams and independently. Applicants with experience with functional MRI, R, and Matlab are particularly encouraged to apply. This is a 100% FTE, one-year fixed-term
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to support the conduct of study analyses. Proficiency in statistical languages such as Python, R, SAS, SPSS, STATA. Proficiency in qualitative methodology such as grounded theory, phenomenology, ethnography
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the work of others for tasks/projects requiring supervision. Relevant subject matter knowledge. Substantial experience with MS Office and analytical programs such as Python and R. Excellent communication
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-throughput sequencing data Experience working within a UNIX/Linux environment Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL Excellent communication and team skills and
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, metabolomics, atac-seq, proteomics. Proficiency in Python and/or R and Linux bash scripting. Experience with pipeline languages like WDL or snakemake or nextflow. Proven track record of data and infrastructure
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learning Previous experience in managing data from observational studies. Previous supervisory experience. Expertise in statistical programming languages (R, SAS, or other). Expertise in online data
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skills in statistical software (e.g. R, Stata, Python) and working knowledge in SQL Excellent written and oral communication skills Strong record of distinguished scholarly achievement, including written
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superb quantitative background, strong coding skills (e.g., Python, R), expertise in infectious disease modeling across multiple pathogens, expertise with large datasets and statistical analysis, and high
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, particularly in data analysis Experience with statistical analysis (e.g., SPSS, MATLAB) and programming (e.g., R, MATLAB, Python) Experience with fMRI data collection and analysis (e.g., FSL, SPM) Required
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, RNAseq analysis, R or Python Strong publication record in peer-reviewed journals Excellent written and verbal communication skills Ability to work independently and in teams Required Application Materials