Biological Data Scientist for Neuroepidemiology & ML

UW School of Medicine and Public Health; Madison (WI); Hybrid; USD 60.000 - 88.000; Vollzeit

Benefits dieser Stelle

Vacation & holidays

Retirement benefits

Insurance

Zusammenfassung

The University of Wisconsin–Madison School of Medicine and Public Health, Department of Neurology, Caunca Research Lab, seeks a Data Scientist I–III to manage and analyze complex longitudinal cohort data using R, STATA, or SAS.

You will develop data management systems, implement prediction modeling and machine learning, supervise students, and contribute to manuscripts and presentations.

Qualifikationen

• Managing, analyzing, and interpreting research data from complex cohort studies in R and/or STATA and/or SAS.
• Work with statistical methods and data analysis, and guide students and staff in analyses.

Aufgaben

• Implements data science techniques to find data patterns, including data visualization, statistical analysis, machine learning, and data mining.
• Documents approaches to address research questions.
• Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources.
• Composes reproducible workflows and reports to clearly articulate patterns to researchers and administrators.
• Organizes and automates project steps for data preparation and analysis.

Kenntnisse

Data analysis

Prediction modeling

Machine learning

Team communication

Ausbildung

Master's degree in public health/biostatistics/epidemiology

PhD in public health/biostatistics/epidemiology

Tools

R

STATA

SAS

Jobbeschreibung

The University of Wisconsin–Madison School of Medicine and Public Health, Department of Neurology, Caunca Research Lab, seeks a Data Scientist I–III to manage and analyze complex longitudinal cohort data using R, STATA, or SAS.

You will develop data management systems, implement prediction modeling and machine learning, supervise students, and contribute to manuscripts and presentations.