Senior Data Analyst

Overview

Dr. Theresa Osypuk seeks a Senior Data Analyst to oversee the implementation of data management for all aims of two federal grants. The Senior Data Analyst will collaborate on a recently funded National Institutes of Health (NIH) study focused on the influence of housing policy and neighborhood environment on health, including fertility, infant, maternal health and mortality, among families across generations.

This position will work closely with the project’s Principal Investigator, scientific team, and staff. This position will also collaborate with student research assistants and postdoctoral associates.

Data for these projects is accessed through the Federal Statistical Research Data Center (FSRDC), which requires the selected candidate to either already have or be willing and able to obtain Special Sworn Status. The FSRDC is located on the University of Minnesota Twin Cities campus, and the selected candidate will be required to work on campus 4 days a week.

• 85% Programming and Statistical Analysis:
  Write, implement, and document statistical code to test hypotheses. Perform variable coding and transformation of variables. Develop and execute code for various analytic models, including:
  Multilevel Models;
  Longitudinal Models;
  Mediation Models. Models adjusted for weights, complex designs, attrition, clustering. Collaborate with the team statistician and other team members on model specification and execution. Produce requested statistical output and interpret/summarize the results. Create tables and figures to illustrate analytic results. Implement missing data and attrition imputation techniques. Construct complex data structures, such as residential histories.
• 10% Project Management:
  Organize code and files, and conduct code review for team members in the restricted environment. Ensure execution of the data-use contract to maintain data confidentiality. Submit and maintain IRB agreements and related documentation. Organize and maintain FSRDC agreements and Special Sworn Status training documentation and reminders for all study members. Prepare files and documentation for the disclosure of results from the FSRDC.
  
  Organize and assist with writing progress reports. Assist with non-programming research activities, including background literature reviews. Manage and coordinate project meetings: scheduling, organizing agendas, tracking attendance, and documenting next steps. Assist with organizing project and team files, and referencing software.
• 5% Data Management, Disclosure, and Documentation:
  Organize and manage analytic files and associated documentation. Track the analyses. Merge and integrate diverse datasets for analytic use. Execute data transfer procedures, including preparing files for disclosure from restricted environments (FSRDC).

This position is eligible to work up to 1 day remotely and is required to work at least 4 days a week in the office. ISRDI is located at 50 Willey Hall in Minneapolis, MN.

Visa sponsorship, including H-1B, may be considered for qualified candidates whose visa circumstances do not require payment of the $100,000 H-1B fee.

Required:

• Bachelor s degree + 4 years of experience or a combination of education and experience to equal 8 years.
• At least 3 years of data programming experience
• Demonstrated proficiency in R
• Previous experience managing research projects
• Experience documenting, organizing, and archiving statistical code and analyses
• Ability to work independently
• Ability to adeptly manage multiple complex tasks, such as multiple data linkages, projects, and code development
• Organization, cooperation, and problem-solving skills
• Willingness and ability to acquire Special Sworn Status

Preferred*:

• Master s degree in social sciences, public health, statistics, or a related field.
• Active Special Sworn Status (SSS) certification for immediate access Federal Statistical Research Data Center (FSRDC).
• Statistical coding expertise in multiple programming languages in addition to R such as Stata, SAS, GIS
• Experience working in the FSRDC and/or working in secure, restrictive, and de-networked data environments
• Experience working with data that are person-level; spatial or GIS; health focused; housing focused; nested (e.g. individuals within families); and/or longitudinal
• Experience working with different functional forms of data and regression
• Experience applying weight-based methods such as Inverse Probability of Treatment Weights
• Experience using multiple imputation methods