-
& Dining Enterprises (R&DE), the largest auxiliary organization at Stanford University, supports the academic mission of the University by providing high-quality services to students and other members
-
dedicated to finding solutions to big challenges and to preparing students for leadership in a complex world. Residential & Dining Enterprises (R&DE), the largest auxiliary organization at Stanford University
-
Proficiency in statistical software such as Python, R, SAS, and/ or STATA. Excellent written and verbal communication skills, with experience writing research papers and effectively communicate information
-
epidemiology. Statistical analysis using SAS or R, research experience in epidemiology or clinical research. EDUCATION & EXPERIENCE (REQUIRED): Bachelor of Arts degree in an applicable social science related
-
with NVivo (or equivalent qualitative data analysis software). * Experience using statistical software such as R or STATA (or equivalent software). * Skilled at using collaborative software programs
-
, 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
-
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
-
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
-
-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
-
, 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