Social Data Scientist — Epidemiology & Longitudinal Data

University of Wisconsin-Madison; Alabama; Hybrid; USD 60,000 - 88,000; Full time

Benefits offered by this job

Vacation, holidays, sick leave

Competitive insurance

Retirement benefits

Job summary

University of Wisconsin-Madison is seeking an experienced data scientist to support vascular cognitive impairment research. The role focuses on managing and harmonizing complex longitudinal cohort data, applying causal inference and predictive models in R, STATA, and SAS.

You will mentor staff and contribute to manuscripts and stakeholder presentations. Some work may be performed remotely; otherwise, on-site in Madison.

Qualifications

• Masters preferred in public health, biostatistics, epidemiology or data science.
• PhD preferred for more advanced level (III).
• Experience with longitudinal cohort data and data harmonization is a plus.

Responsibilities

• Document approaches to address research questions.
• Organize and automate data preparation and analysis steps.
• Prepare data sets for analysis including cleaning and transformation of multiple sources.
• Apply data science techniques and produce reproducible workflows and reports.
• Contribute to manuscripts and presentations for conferences and stakeholders.

Skills

R

STATA

SAS

Causal inference

Reproducible code

Communication

Education

Master's degree in public health / biostatistics / epidemiology

PhD in public health / biostatistics / epidemiology

Tools

R

STATA

SAS

Job description

University of Wisconsin-Madison is seeking an experienced data scientist to support vascular cognitive impairment research. The role focuses on managing and harmonizing complex longitudinal cohort data, applying causal inference and predictive models in R, STATA, and SAS.

You will mentor staff and contribute to manuscripts and stakeholder presentations. Some work may be performed remotely; otherwise, on-site in Madison.