Brain Proteomics Scientist I

tsu.edu; Seattle (WA); Hybrid; USD 88,000 - 108,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401k plan

Paid time off

Job summary

The Allen Institute is seeking a Scientist I to join a Brain Proteome Organization team focused on how neuronal proteomes shape brain circuits. You will develop scalable synapse proteomics approaches and collaborate with computational and experimental teams to understand protein interactions shaping synapse physiology.

You will work across core facilities, apply advanced proteomic strategies, and contribute to open science by sharing data and insights with the broader community.

Qualifications

• Ph.D. in STEM (i.e. Neuroscience, Biology, or related field); or equivalent combination of degree and experience.
• Proven strong publication record.
• Experimental experience in lab-based research and molecular methods.
• Experience in R and/or python

Responsibilities

• Lead projects to understand proteome organization across neuronal populations and synapse types.
• Design and perform scalable synapse-type proteomics experiments.
• Develop workflows for synapse isolation and proteomic analysis.
• Analyze large-scale proteomic datasets with multimodal data.
• Coordinate with internal teams and core facilities to acquire and process data.
• Develop computational and statistical strategies for data production and processing.
• Manage data acquisition, storage and deposition.
• Publish and present findings in peer-reviewed journals and conferences.

Skills

R & Python

Education

Ph.D. in STEM

Tools

Mass spectrometry workflows

Job description

The Allen Institute is seeking a Scientist I to join a Brain Proteome Organization team focused on how neuronal proteomes shape brain circuits. You will develop scalable synapse proteomics approaches and collaborate with computational and experimental teams to understand protein interactions shaping synapse physiology.

You will work across core facilities, apply advanced proteomic strategies, and contribute to open science by sharing data and insights with the broader community.