Junior Neuroimaging Data Analyst: Drive Brain Research

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 36,726 - 45,460; Full time

Benefits offered by this job

Health, life, and flexible spending accounts

Tuition assistance for employees and families

Retirement plans

Paid leave and time away from work

Well-being and work-life resources

Job summary

The University of Pennsylvania seeks a Junior Neuroimaging Data Analyst to support managing and analyzing neuroimaging data in the Department of Psychiatry. The role involves collaborating with interdisciplinary teams to investigate brain development and psychiatric disorders.

The ideal candidate holds a Bachelor's degree in Engineering, Statistics, or Computer Science, with programming skills in Python, R, and experience in machine learning. Benefits include health accounts and tuition assistance.

Qualifications

• 0–1 year of research experience or equivalent education.
• Strong program and data analysis skills.

Responsibilities

• Manage, process, and analyze neuroimaging data.
• Assist in projects investigating sex differences in brain development.
• Collaborate with faculty and trainees in various disciplines.
• Lead meta-analysis projects.
• Perform additional tasks as assigned.

Skills

Interpersonal and communication skills

Programming skills in Python

Data analysis skills in R

Experience with machine learning

Experience with Linux/bash

Education

Bachelor’s degree in Engineering, Statistics, or Computer Science

Tools

SPM

AFNI

FSL

Epic databases (Clarity, Databricks, Caboodle)

Job description

The University of Pennsylvania seeks a Junior Neuroimaging Data Analyst to support managing and analyzing neuroimaging data in the Department of Psychiatry. The role involves collaborating with interdisciplinary teams to investigate brain development and psychiatric disorders.

The ideal candidate holds a Bachelor's degree in Engineering, Statistics, or Computer Science, with programming skills in Python, R, and experience in machine learning. Benefits include health accounts and tuition assistance.