Neuroimaging Data Analyst

University of California, San Francisco

The University of California, San Francisco leads in health sciences with a focus on advancing neurodegenerative disease research. The Rabinovici Laboratory integrates cutting-edge imaging techniques in a collaborative research environment. This role supports the lab's mission to improve the understanding and treatment of Alzheimer's and related dementias.

In this role you can expect to have the responsibilities:

• Process and organize multimodal neuroimaging data with established pipelines.
• Conduct data quality assessments and address issues.
• Research and apply new data processing and analysis methods.
• Assist neurologists with PET imaging results for patients and caregivers.
• Handle data requests and support collaborations with other labs.
• Perform statistical analyses and prepare figures for publication.
• Collaborate with clinical research fellows, postdocs, and senior scientists.

This role comes with the following benefits:

• Opportunities for independent research project development.
• Mentorship and guidance within a multidisciplinary team.

This role requires you to have:

• Bachelor's degree in relevant fields such as statistics, computer science, neuroscience, or equivalent experience.
• Minimum of one year of research experience.
• Proficiency in programming, particularly Python, MATLAB, or R.
• Understanding of PET or MRI data formats and analysis tools.
• Coursework in statistics, computer science, and neuroscience.
• Experience with scientific figures and presentation software.

You would benefit from having:

• Master's degree or equivalent research experience.
• GPA of 3.5 or higher.
• Strong scientific curiosity and motivation to learn.
• Independence in problem-solving.
• Meticulous in completing assignments.

UCSF values diversity and equal opportunity, adhering to PRIDE values and fostering a welcoming and diverse community.