Mentor undergraduate- and graduate-level interns and fellows on developing and executing analytic ... Proficient with statistical programming software and languages (e.g., SAS, STATA, or R) * Excellent ...
Mentor undergraduate- and graduate-level interns and fellows on developing and executing analytic ... Proficient with statistical programming software and languages (e.g., SAS, STATA, or R) * Excellent ...
Postdoctoral Scholar
University Park, PA · On-site +1
... interns and fellows on developing and executing analytic plans • Support research planning by ... Proficient with statistical programming software and languages (e.g. SAS, STATA, or R) • ...
Postdoctoral Scholar
University Park, PA · On-site +1
... interns and fellows on developing and executing analytic plans • Support research planning by ... Proficient with statistical programming software and languages (e.g. SAS, STATA, or R) • ...
Internship R Statistics information
See State College, PA salary details
$8.93 - $10.24
2% of jobs
$10.24 - $11.54
2% of jobs
$11.54 - $12.84
3% of jobs
$12.84 - $14.15
17% of jobs
$14.23 is the 25th percentile. Wages below this are outliers.
$14.15 - $15.45
18% of jobs
The median wage is $16.15 / hr.
$15.45 - $16.76
16% of jobs
$16.76 - $18.06
11% of jobs
$18.47 is the 75th percentile. Wages above this are outliers.
$18.06 - $19.36
20% of jobs
$19.36 - $20.67
6% of jobs
$20.67 - $21.97
3% of jobs
$21.97 - $23.27
2% of jobs
$8
$16
$23
How much do internship r statistics jobs pay per hour?
What are the key skills and qualifications needed to thrive as an R Statistics Intern, and why are they important?
What is the difference between Internship R Statistics vs Data Analyst?
| Aspect | Internship R Statistics | Data Analyst |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in statistics, data science, or related field | Bachelor's degree in statistics, data analysis, or related field; sometimes requires experience |
| Work Environment | Internship setting, often part-time or temporary, in tech, finance, or healthcare industries | Full-time role in various industries like finance, marketing, healthcare, or tech |
| Employer & Industry Usage | Used by companies for training and entry-level data tasks, often in tech and research sectors | Employed by organizations to analyze data, generate reports, and support decision-making |
Internship R Statistics is an entry-level, temporary position focused on learning and assisting with statistical analysis using R. In contrast, a Data Analyst is a full-time professional role responsible for analyzing data, creating reports, and supporting business decisions. While internships are designed for skill development, data analyst roles require more experience and responsibility.
What types of projects or tasks can I expect to work on during an R Statistics internship?
What are Internship R Statistics positions?
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Part-time
Posted 19 days ago
Penn State University rating
7.8
Based on 103 frontline employees who took The Breakroom Quiz
200th of 553 rated colleges and universities
Job description
- 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
- Support research planning by setting milestone goals and incremental internal deadlines to achieve goals
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
- Bipartisan mindset and ability to interpret findings from multiple viewpoints
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
- Remote work requires high-quality, high speed internet connection in a home office
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)
- Three references. We will not contact references without your express permission, which may be requested in later stages of the interview process.
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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About Penn State AVT
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
State College, PA, US
Year founded
1988