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Scientist I, Regulatory Genomics

allen institute • United State
Visa Sponsorship Relocation
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AI Summary

Lead the definition of regulatory biology for a lab-in-the-loop AI platform to design precision cell-type targeting tools for brain health. Transform cross-species multiomic atlases into training sets and analyze whole-brain enhancer-AAV screens to optimize sequence-to-function models. Requires a Ph.D. in genomics or a related field with expertise in regulatory genomics and proficiency in Python or R.

Key Highlights
Contribute to a lab-in-the-loop AI platform designing synthetic enhancer sequences for brain cell-type targeting
Analyze whole-brain enhancer-AAV screens across thousands of cell types to tune computational models
Openly release validated sequences, benchmarks, and documentation to the scientific community

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Key Responsibilities
Curate training, validation, and benchmark sets from cross-species single-nucleus multiomic data
Define cell-type targets and design objectives for synthetic enhancers from whole-brain single-cell atlas data
Apply sequence-to-function models and guided optimization to prioritize and interpret candidate enhancers
Plan design-and-test cycles with experimental colleagues and feed screening results back into model training
Publish and present findings and openly release validated sequences and documentation
Technical Skills Required
Regulatory Genomics Python R

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Benefits & Perks
Medical, dental, and vision insurance
Basic life insurance
401k plan
Paid time off
Relocation assistance
Visa sponsorship

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Nice to Have
Experience interpreting validation data from enhancer-AAV screens
Hands-on experience with sequence-to-function models (Enformer, Borzoi, ChromBPNet)
Experience with guided sequence design and model interpretation methods
Domain knowledge of brain cell type taxonomies, molecular neuroscience, or AAV-based genetic tools
Experience with cross-species genomic analysis

Job Description

The accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health.
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Job Overview
Posted Date Oct 06, 2026
Employment Type Full-time
Experience Level Not Applicable
Location United State
Category Programming
Company allen institute
Mentioned Skills
python ai 3d deep learning machine learning

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