Neuroimaging Data Analyst Junior
Listed on 2026-07-03
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IT/Tech
Data Science Manager
Job Title
Neuroimaging Data Analyst Junior
Job Profile TitleDatabase Technician
OverviewThe Translational Reproductive Neuropsychiatry and Data Science Lab is part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, and the Lifespan Brain Institute (LiBI). Our goal is to personalize early interventions in reproductive psychiatry. Our goal is to understand mechanisms underlying sex differences in psychopathology and identify neuroendocrinologic markers of risk vs. resilience for psychiatric disorders. The Neuroimaging Data Analyst Junior will provide support for managing and analyzing data.
Responsibilities- Work on large-scale projects aimed at understanding sex differences in brain development and hormonally-driven psychiatric symptoms such as perinatal depression.
- Support the management, processing, and analysis of high-dimensional imaging data.
- Collaborate with a multidisciplinary team of faculty and trainees from psychiatry, psychology, engineering, statistics, and computer science.
- Lead independent projects (e.g., meta-analyses of neuroimaging studies) and write first-author manuscripts.
- Bachelor’s degree in Engineering, Statistics, or Computer Science.
- 0-1 years of research experience or an equivalent combination of education and experience.
- Strong interpersonal and communication skills.
- Proficiency in programming and data analysis, including Python, Linux/ Bash, and R.
- Preferred (but not required):
Experience with machine learning, clinically-acquired neuroimaging, neuroimaging tools (SPM, AFNI, FSL), and Epic databases (Clarity, Databricks, Caboodle). - Background check required; position contingent on funding.
Office or Library; typically sitting at a desk or table with occasional lifting of 25 lb or less.
Job LocationPhiladelphia, Pennsylvania
Department / SchoolPerelman School of Medicine
Pay Range$26.66-$33.00 per hour.
Equal Opportunity StatementThe University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin, citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.
Special RequirementsBackground checks may be required after a conditional job offer. Consideration of the background check will be tailored to the requirements of the job.
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