Statistical Consultant
Statistical Consultant
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Salary Not Disclosed
1 Vacancy
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 additional information on remote work at Penn State seeNotice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The mission of the Data Learning Center of the University Libraries is to inspire intellectual discovery by providing services to help users transform data into information. These services include individual consultations small group training and online tools for students and PSU researchers in areas such as data statistics and research methodology.
This position offers an excellent opportunity to gain hands-on experience by supporting real-world research projects. The Statistical Consultant will work closely with the Statistician to provide one-on-one consultations with PSU researchers assisting with study design data analysis and statistical software. The consultant will also contribute to the development of instructional materials workshops and online learning resources.
Key Responsibilities:
Provide support during statistical consultations including data preparation statistical analysis and interpretation of results
Assist users with statistical software and tools
Help develop training materials guides and online resources
Participate in the design and delivery of workshops
Contribute to other Data Learning Center initiatives as needed
Qualifications:
Required
Senior in good academic standing or recent graduate in Applied Statistics Data Science or a related field
Strong knowledge of basic statistical procedures and concepts
Familiarity with intermediate or advanced statistical methods
Experience with at least one of the following: R SPSS SAS Python Stata or Minitab
Proficiency with Microsoft Excel Word and PowerPoint
Excellent communication and time management skills
Interest in learning new statistical tools and qualitative methods
Ability to work independently and collaboratively
Preferred:
Experience with additional software/tools such as LaTeX SQL Access NVivo MPlus AMOS or LISREL
Prior experience in teaching tutoring or leading workshops especially related to statistics or data analysis.
After submitting your application please send your resume and a brief letter of interest via email to:
Jennifer Valcin Ph.D.
Statistician
Data Learning Center
Research Informatics and Publishing
Penn State University Libraries
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 .
Required Experience:
Contract
Employment Type
Part-Time
