Neuroimaging Data Analyst Junior
Job Profile
The 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. To do this, we use non-invasive neuroimaging and advanced computational methods to understand mechanisms underlying sex differences in psychopathology and identify neuroendocrinologic markers of risk vs. resilience for psychiatric disorders.
Qualifications
- Bachelor's degree in Engineering, Statistics, or Computer Science, 0-1 years of research experience or equivalent combination of education and experience is required.
- Excellent interpersonal and communication skills are required.
- Program and data analysis skills are strongly preferred, including Python, Linux/bash, and R.
- Experience with machine learning, clinically-acquired neuroimaging, neuroimaging tools (SPM, AFNI, FSL), and Epic databases (Clarity, databricks, Caboodle) is strongly preferred but not required.
Position Details
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.
Working Conditions
- Office, Library
- Physical Effort: Typically sitting at a desk or table; Occasional lifting 25 lb. or less
Location
Philadelphia, Pennsylvania
Department / School
Perelman School of Medicine
Pay Range
$26.66 - $33.00 Hourly Rate
Equal Opportunity Statement
The 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 (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.