Job description

Posting Details

Posting Details

Reference Number 40-31048 Posted Job Title CNB DATA ANALYST School Name Perelman School of Medicine Org PS-Neuropsychiatry Posted to the Web 02/13/2019 Posted Job/Salary Grade C Employment Type Exempt Hours N/A Position Type Full Time Position Schedule 8:30-5:30, Mon-Friday Months 12 Position Length Contingent Upon Funding Position End Date University Overview

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning.

Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.

The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.

School/Center Overview

The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education.


The Brain Behavior Lab (BBL) at Penn Medicine and the Lifespan Brain Institute (LiBI) at the Children’s Hospital of Philadelphia (CHOP) and Penn Medicine are seeking a full-time Data Analyst to join their measurement team. The Penn Computerized Neurocognitive Battery (CNB) and Child and Adolescent Psychiatric Assessment (CAPA) are computerized batteries of tests and scales that measure multiple domains of neurocognition and clinical symptomatology. These batteries facilitate cutting edge research in cognitive and affective neuroscience, including use in the Army, Marines, NASA, large-scale genetic studies, and many others across the globe, including Antarctica.

We are seeking a full-time Data Analyst to join our team immediately. Responsibilities will include supporting principal investigators, postdoctoral fellows, and technical staff with analyses and other procedures related to various datasets. For example, the Analyst will work with the BBL measurement team to analyze item-level data and outcomes, with the goal of improving existing versions of cognitive tests and clinical scales. Example analyses for this and other projects would include: regression, factor analysis, multilevel or mixed modeling, item response theory (IRT) calibration, supervised machine learning, and several others. Beyond analysis itself, Analyst duties also include: extracting, importing, and exporting data in various applications; restructuring and/or merging datasets; running queries on datasets; preparing datasets for analyses; resolving data inconsistencies; and checking for completeness and quality of data. Additional responsibilities will be assigned based on the successful candidate’s skills and interests.


A Bachelor’s Degree and 2 years or more of experience or an equivalent combination of education and experience required.

Position Requirements:
* Bachelor’s degree (any major) with courses in Statistics, Computer Science, Math, Actuarial Science, Psychometrics, Econometrics, Bioinformatics, or other STEM-related topics, and 2 years of experience. We will consider a candidate with less experience if s/he has a graduate degree in STEM (e.g. M.S., M.S.E., M.E., etc.).
* Experience with R

Position Preferences:
* Some familiarity with psychological measurement (e.g. Item Response Theory), such as coursework in Psychometrics
* Experience in biomedical or psychological research or data management
* Experience with JavaScript, HTML, and/or CSS

This position offers a highly interdisciplinary research experience, combining approaches from the neurosciences, psychiatry, experimental psychology, and statistics with neuroimaging and genetics. The Analyst will be able to learn from established experts in the fields of neuroscience, biostatistics, psychometrics, and clinical psychology, and will have the opportunity to present and publish his/her work (if desired).

Affirmative Action Statement

Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.

Special Requirements Quick Link Posting Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * How did you hear about this employment opportunity?
    • [email protected]
    • Contacted by a Penn Recruiter
    • Referred by a Penn Employee
    • Referred by a friend or family member
    • Higher Education Recruitment Consortium (HERC)
    • Inside Higher Ed
    • Other Internet Advertisement
    • Linkedin
    • Twitter
    • Other Social Media Site
    • Professional Affiliation/Trade Website
    • Diversity Association/Publication Website
    • Heard about it at a conference or career fair
    • Apple One
    • Recruitment and/or staffing agency
  2. * What is your highest level of education completed?
    • Less than high school education
    • High School Diploma or GED
    • Vocational or Technical School
    • Associate's Degree or Two Year College
    • Bachelor's Degree
    • Master's Degree
    • PHD/MD/JD or equivalent doctoral degree
  3. * How many years of experience do you have related to this position?
    • 0 to 1 Year
    • 1 to 2 Years
    • 2 to 3 Years
    • 3 to 5 Years
    • 5 to 7 Years
    • 7 to 10 Years
    • Over 10 Years
Applicant Documents Required Documents
  1. Resume
Optional Documents
  1. Cover Letter




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Job No:
Posted: 2/14/2019
Application Due: 6/30/2019
Work Type: