Data Analyst Junior (Neuropsychiatry)

Data Analyst Junior (Neuropsychiatry)

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. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

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.

COVID-19 vaccination is a requirement for all positions at the University of Pennsylvania. New hires are expected to be fully vaccinated before beginning work at the University. For more information about Penn's vaccine requirements and the use of Penn Open Pass, visit the Penn COVID-19 Response website for the latest information.

Posted Job Title
Data Analyst Junior (Neuropsychiatry)

Job Profile Title
Programmer Junior

Job Description Summary
Data Analyst Junior

As part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, the Lifespan Brain Institute (LiBI) and the Brain Behavior Laboratory (BBL) are devoted to the study of brain and behavior throughout the lifespan. We use: 1) innovative neuroimaging techniques, and 2) the application of cutting-edge psychometric and bioinformatics resources. The Data Analyst Junior will provide support for managing and analyzing data within the lab of Drs. Ruben and Raquel Gur.

Job Description

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. .

Data Analyst Junior

We are seeking a full-time Data Analyst Junior to join our team immediately. This position offers a highly interdisciplinary research experience, combining approaches from cognitive neuroscience, experimental psychology, psychiatry, and statistics with neuroimaging. The applicant will have the opportunity to participate in major methodological and analytic developments, publications, and presentations.

Responsibilities will include supporting principal investigators, fellows, and technical staff with in-depth analyses using multiple complex datasets. While the position is entry-level (i.e. recent college graduates are encouraged to apply!), the analyst will work closely with a PhD-level statistician/psychometrician to climb very steep learning curves quickly. The analyst will thereby acquire an unusually advanced skillset compared to most entry-level positions. For this reason, we are especially seeking applicants with long-term career goals in statistics or psychometrics.

Example tasks might include being asked to:

1. Determine the statistical effects of missing data and compare the results of some available imputation methods (maximum likelihood, random forest, etc.).

2. Determine the number of latent dimensions underlying a data set and apply factor analysis and item response theory to estimate model parameters for such uses as computerized adaptive testing and analysis of item bias.

3. Demonstrate (visually) a statistical effect in several different ways (e.g. using panels versus color-coding).

4. Link a list of physical street addresses to geocodes and link those geocodes to census data from multiple years.

5. Simulate item responses with other variables to determine how many Likert response categories are likely to be necessary on a personality scale with a specific number of items.

The applicant is not expected to be familiar with the above-s/he will be taught-but it is important that at least some of the above procedures seem interesting to the applicant.

Other duties might include: performing data management functions like extracting, importing, and exporting data from various in-house applications; restructuring and/or merging datasets; assisting with user documentation; running queries on datasets using SQL; preparing datasets for analyses; resolving data inconsistencies; and taking responsibility for completeness and quality of multiple data sets.


Bachelor's degree in Engineering, Physics, Statistics, Neuroscience or Experimental Psychology and 0-1 year of experience or equivalent combination of education and experience required. A Bachelor's or Master's degree and 1-2 years of research preferred. Applicants with a relevant major (psychology, statistics, economics, computer science, biology, or neuroscience) will be given preference, and applicants with relevant long-term career goals (e.g. professor of statistics, entrepreneur in the machine learning industry, etc.) are especially preferred.

Preferred Skills:

  • R, Python, SPSS syntax, Stata, or another script-based statistical package. Job will involve mostly R.

    Background check required. Position contingent on funding.

    Working Conditions
    Office, Library, Computer Room; Requires extensive safety

    Physical Effort
    Typically sitting at a desk or table; Occasional lifting 25 lb. or less

    Job Location - City, State
    Philadelphia, Pennsylvania

    Department / School
    Perelman School of Medicine

    Pay Range
    $20.00 - $30.67

    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
    Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.

    University Benefits
    • Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.
    • Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions.
    • Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.
    • Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be.
    • Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting.
    • Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance.
    • Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally.
    • University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free.
    • Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks.
    • Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures.
    • Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements.
    • Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household.

    To learn more, please visit:

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