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Allen Institute

AI Research Scientist

Allen Institute

AI Research Scientist at the Allen Institute inventing methods for biological discovery through AI/ML. Focused on large-scale data and collaborative research.

Posted 7/3/2026full-timeSeattle • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $146,600 - $183,250 per yearWebsite

Tech Stack

Tools & technologies
PythonPyTorch

About the role

Key responsibilities & impact
  • Develop, train, and evaluate large-scale AI/ML models across diverse biological data types.
  • Investigate new modeling paradigms to address open biological research questions.
  • Translate complex scientific questions into computational frameworks, experiments, and benchmarks.
  • Assess model behavior and interpretability in scientific contexts.
  • Design and run experiments at scale with benchmarking and model analysis.
  • Build reusable modeling frameworks and document methods for reproducibility.

Requirements

What you’ll need
  • PhD in Computer Science, Applied Mathematics, Statistics, Computational Biology, or a related field; or equivalent combination of degree and experience.
  • Demonstrated experience developing and evaluating novel AI/ML approaches for complex, large-scale datasets.
  • Proficiency in Python and modern deep learning frameworks (e.g., PyTorch, JAX).
  • Strong foundation in machine learning, deep learning, and scientific computing, including experimentation, benchmarking, and model analysis.
  • Research experience applying machine learning to biological, genomic, or other life-science data is preferred.
  • Familiarity with large-scale training and evaluation environments and scientific computing libraries.

Benefits

Comp & perks
  • Employees (and their families) are eligible to enroll in benefits per eligibility rules.
  • Medical, dental, and vision insurance.
  • Basic life insurance.
  • 401(k) plan.
  • Paid time off as outlined in the Benefits Guide.
  • Relocation assistance available.

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Hard Skills & Tools
AI/ML ApproachesModel EvaluationExperimentationBenchmarkingModel Analysis