This position provides professional statistical support to students and faculty in the School of Nursing. This position applies advanced statistical modeling, data visualization techniques, and other analytical skills to produce deliverables in response to routine and non-routine data requests. Engages in best practices for data-detailed activities, such as collecting, merging, cleaning, coding, validating, documenting, and updating datasets for analytical use. Investigates and applies new tools, algorithms, and processes for data mining and data visualization.
Responsibilities include performing advanced inferential statistical modeling and data visualization work in direct support of sponsored research and scientific publication; independently designing and conducting the analytic components of research projects; creating original code in R as needed for conducting custom analyses; advising faculty and students regarding best practice data analysis strategies; supervising data analysis projects to ensure validity, rigor and reproducibility; consulting with faculty and students regarding data cleaning and management; clearly explaining data analysis steps and products to faculty and students; demonstrating data analysis in SPSS or similar GUI-based software to support faculty and student comprehension of data analysis steps; writing methods and results sections for scientific manuscripts; writing data analysis plan for grant applications; and performing related duties as required.
Required qualifications include authorization to work in the U.S. for any employer without sponsorship, a Master's degree in Statistics, Biostatistics, or Data Science, at least 2 years of collaborative statistical experience in an academic setting, proficiency with descriptive and inferential statistical analyses, structural equation modeling, longitudinal analyses, and clinical trial data analyses, expertise with open-source GUI-based statistical software and R, excellent verbal and written communication skills, and excellent organizational and time management skills.
Salary range is $77,000+ depending upon qualifications. Working conditions are in a typical office environment.
Required materials include a resume/CV, 3 work references with their contact information; at least one reference should be from a supervisor, and a letter of interest.
Tagged as: Life Sciences
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