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Part- Time Research Data Analyst

Penn State University -
University Park, PA

Apply Now

Job Details

Part-time

Qualifications

Statistics
Data quality checks
Quantitative applied research
Scientific research papers
Data quality monitoring
Statistical modeling
Quality control operations
Manuscripts for peer-reviewed journals
Data analysis software

Full Job Description

APPLICATION INSTRUCTIONS:

CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday.
CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants .

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants .

JOB DESCRIPTION AND POSITION REQUIREMENTS

Program Description

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.

Job 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

Skills and Traits Needed by Applicants

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

Eligibility

Master’s degree or higher; applicants may have their degrees from any department, but degrees in psychology, public health, human development, public policy, social work, or prevention science will be particularly good fits for the program.
While the RTP team primarily operates remotely, preference will be given to applicants in Virginia within commuting distance of Washington, D.C. to support in-person data collection from congressional staff
Applicants should review the list of states in which Penn State cannot support employment. Permanent residence must be established in an allowable state prior to position start date. https://hr.psu.edu/more/flexible-work-arrangements/out-of-state-notice

Application Instructions

Full consideration will be given to those applicants who completely submit all materials online. A complete submission will consist of:

Cover Letter describing relevant experience and career goals
Resume or CV
Writing Sample (preferably samples of work directed toward academic audiences; 1-2 samples, 35-page cumulative max)

Supervision will be provided by Executive Director, Taylor Scott, Ph.D., and Director of Research and Evaluation, Elizabeth Long, Ph.D. Additional mentorship provided by Max Crowley, Ph.D., Professor at Pennsylvania State University.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here .

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.

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Refine Your Search

part time research data analyst jobs in state college pa

Part- Time Research Data Analyst

Research Data Scientist

Research Impact Analyst (Research Enterprise)

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Part Time - Axson Nursing Lab - Analyst

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I want to receive the latest job alert for part time research data analyst in state college pa

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APPLICATION INSTRUCTIONS:

CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday.

CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants .

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