Neuromodulation Data Scientist - Multimodal Integration

Allen Institute; Seattle (WA); On-site; USD 86,000 - 107,000; Full time

Job summary

The Allen Institute seeks a Scientist I to map the structural organization of neuromodulatory systems in the mouse brain. You will integrate transcriptomic, morphological, and connectivity data to define cell types and their roles in neuromodulation.

You will apply advanced statistical, ML, and AI methods, collaborate with experimentalists and computational teams, and contribute to open datasets and publications while advancing foundational neuroscience knowledge.

Qualifications

• PhD in Genomics, Neuroscience, Applied Mathematics, Electrical Engineering, Physics, or related field; or equivalent.
• Proficiency in Python and R; strong math and statistics background.
• Experience with multimodal data analysis and neural circuits is preferred.

Responsibilities

• Lead multimodal integration and analysis of transcriptomic, morphological, and connectivity data.
• Develop and apply advanced statistical, ML, and AI methods for multimodal datasets.
• Collaborate with experimentalists and computational teams to advance research goals.
• Present findings to stakeholders and the broader scientific community.
• Draft reports and manuscripts.

Skills

Python

Statistics

Agentic workflows for data analysis

Education

PhD in Genomics, Neuroscience, Applied Mathematics, Electrical Engineering, Physics

Job description

The Allen Institute seeks a Scientist I to map the structural organization of neuromodulatory systems in the mouse brain. You will integrate transcriptomic, morphological, and connectivity data to define cell types and their roles in neuromodulation.

You will apply advanced statistical, ML, and AI methods, collaborate with experimentalists and computational teams, and contribute to open datasets and publications while advancing foundational neuroscience knowledge.