Computation Analyst

Researcher in Neurodegeneration

This role involves working as a research fellow in neurodegeneration, contributing to the analysis of datasets related to neurodegenerative diseases. You will engage in interdisciplinary research within a host lab, focusing on computational approaches to neurodegeneration.

• Apply statistical or machine learning methods to support research on disease mechanisms, following lab protocols.
• Support data processing tasks, such as image analysis or sequence alignment, using provided software or scripts.
• Prepare research summaries and present findings at symposia, lab meetings, or external conferences.
• Contribute to team discussions, collaborating with lab members to integrate computational and experimental findings.

• Basic familiarity with programming (e.g., Python, R) or data analysis tools, with a strong interest in learning advanced computational techniques.
• Ability to approach complex datasets with curiosity and apply structured methods to derive meaningful insights under mentorship.
• Strong interpersonal skills to work effectively in interdisciplinary teams, including researchers, students, and faculty.
• Clear written and verbal communication to present research progress and engage with scientific audiences.
• Eagerness to acquire new skills and adapt to evolving research tools and methodologies in a training-focused environment.