Required:

• Bachelor's degree + 4 years of experience or a combination of education and experience to equal 8 years.
• At least 3 years of programming experience in R
• Expertise in testing research hypotheses using R
• Expertise with regression research
• 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 complex regression, multiple imputation, multiple data linkages, projects, and code development
• Organization, cooperation, and problem-solving skills
• Excellent attention to detail
• Willingness and ability to acquire Special Sworn Status

• Master's degree in social sciences, public health, statistics, biostatistics, economics, or a related field.
• Previous experience as a study methodologist
• Active Special Sworn Status (SSS) certification for immediate access to the 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

• 
  Are you excited about this job and meet the required qualifications, but your past experience doesn't align perfectly with every preferred qualification? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. If this is you, we strongly encourage you to apply because you just may be the right candidate for this role.

• Love working with complex data structures
• Enjoy working in R and writing clean, sophisticated code to test complex research hypotheses and perform advanced analytic modeling.
• Can pivot smoothly from hours of solo coding to managing meeting agendas and tracking project milestones.
• Are a proactive ‘driver’ capable of keeping teams focused and accountable.

RESPONSIBILITIES

• 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 Regression Models
  • Longitudinal Regression Models
  • Mediation Models
  • Regression 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.
• Implement post-estimation commands to produce visuals and predicted estimates.

• 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% - File 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).

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

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