Sort by
Refine Your Search
-
languages such as SQL, R, or Python. No prior experience with clinical, operational, or financial data is required, as this knowledge will be provided through job shadowing and mentorship from the lead data
-
. Desired Qualifications* Familiarity with REDCap or similar electronic data capture systems. Experience with statistical software (e.g., SPSS, R, or Stata). Experience supporting research or support
-
business environment Both: Fluency in Python and/or R for data analysis and pipeline development Experience with statistical and machine learning methodologies applied to biological datasets Experience
-
Qualtrics. Experience with statistical software (SAS, SPSS, STATA, R) for analysis, problem solving, and forecasting. Experience with Computer Assisted Qualitative Data Analysis Software (e.g., NVIVO
-
, assignments, and/or projects using Excel, Tableau, and R with applications in many different social science areas. QMSS 301: Quantitative Social Science Analysis and Big Data is a 4-credit course with a lecture
-
for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
-
for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
-
at improving data cleaning processes by writing automatic scripts and templates (using python, R, JavaScript, bash shell, or equivalency). Develop data documentation (codebooks, technical appendices, etc
-
and/or signal processing publication record 3+ years of demonstrated technical knowledge of machine learning techniques Proficiency using data science tools (e.g., Python, R, MATLAB, Jupyter Notebooks
-
Producing 3D photogrammetric models of specimens Migrating and updating metadata into the Digital Asset Management System (ResourceSpace) using R scripts Curating and updating the project Wikidata Project