Part- Time Research Data Analyst

Penn State University • University Park, IL

1d • Hybrid

About The Position

The Research Translation Platform invites applications for a Research Data Analyst interested in a career at the research-policy nexus supporting the evaluation and analytic needs of strategies for translating scientific evidence to policymakers. This exciting opportunity would support the analysis and evaluation of research translation models, such as the Research-to-Policy Collaboration model. The Analyst would be responsible for supporting methods development and data analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective, replicable and non-partisan model for brokering researchers and policymakers. While the Analyst should have advanced quantitative skills, prior policy experience is not required. Training and mentorship in applying their skills to the analysis of boundary-spanning initiatives will be provided. This mentored position provides an opportunity to learn translational skills while working with policymaking audiences, as well as opportunities to contribute to scholarly work regarding best practices for research translation and dissemination. Our team is hybrid academic and policy practice; thus, we use data for action. Preference will be given to those within commuting distance to the Washington, D.C. area, though it is not required.

Requirements

• Excellent analytic abilities and advanced quantitative statistical modeling skills (e.g., longitudinal, multi-level, over dispersed) of large, messy datasets
• Proficient with statistical programming software and languages (e.g., SAS, STATA, or R)
• Excellent attention to detail
• Applied research experience, such as large administrative datasets or real-world data
• Enthusiasm and commitment to accelerating the translation of science to policy
• Curiosity and a generalist attitude with interest in diverse social policy issues
• Ability to work on multiple simultaneous projects and prioritize work based on project scope, organizational need, and timeline
• Strong diplomatic communication and interpersonal skills
• Strong communication skills, such as seeking input early in design and escalating threats or problems to PIs
• Ensuring quality control of data collection, and alerting PIs as needed
• Strong writing skills that can produce written sections of methods and results for peer review publication
• Bipartisan mindset and ability to interpret findings from multiple viewpoints

Nice To Haves

• Preference will be given to those within commuting distance to the Washington, D.C. area, though it is not required.
• Preference will be given to applicants in Virginia within commuting distance of Washington, D.C. to support in-person data collection from congressional staff

Responsibilities

• Design the plan for and analyze observational and survey data regarding policymakers’ or researchers’ engagement in boundary-spanning initiatives, including longitudinal and multi-level analyses
• Extract, transform, clean, and maintain data from a variety of sources
• Development and proactive upkeep of data sources (e.g., surveys in Redcap, observational data via a CRM)
• Contribute to the development of analytic plans for grants and publications
• Support analytic needs for grant writing and reporting (e.g., power analyses; interim impact analyses)
• Meet with legislators or staff to collect survey data
• Mentor undergraduate- and graduate-level interns and fellows on developing and executing analytic plans
• Juggle multiple projects and move ideas into action with attention to methodological and analytic details
• Support research planning by setting milestone goals and incremental internal deadlines to achieve goals

Benefits

• Training and mentorship in applying their skills to the analysis of boundary-spanning initiatives will be provided.
• This mentored position provides an opportunity to learn translational skills while working with policymaking audiences, as well as opportunities to contribute to scholarly work regarding best practices for research translation and dissemination.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level