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Allen Institute · 20 hours ago

AI Research Scientist III

Seattle, WA

Full-time

Hybrid

Senior Level

$183K/yr - $240K/yr

5+ years exp

The Allen Institute is dedicated to advancing bioscience and improving human health through open science. They are seeking an AI Research Scientist III to develop and apply state-of-the-art AI/ML methods for biological data analysis, collaborating with various teams to drive large scale AI/ML models and promote open science.

Neuroscience

H1B Sponsored

Responsibilities

Develop and deploy large scale ML models that deepen our understanding of complex biological systems in health and disease by incorporating diverse biological datatypes, such as multi-omics data, microscopy data, in vivo and behavioral imaging data, electrophysiological data, and/or clinical data. Using ML methods to tokenize and embed biological data for ML models and subsequently analyze ML embeddings for benchmarking and other biological tasks

Help to establish community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problems across the model lifecycle by testing and documenting best practices and sharing with the community

Collaborate with teams of scientists, computational biologists, and software engineers within the Allen Institute and external partners to help drive large scale AI/ML models, from best code practices to scientific impact

Collaborate with software engineers to build state-of-the-art engineering infrastructure at the Allen Institute to support large scale AI/ML research and applications, such as methods for caching and processing petabyte scale data across multiple networked GPU nodes on cloud, this person will build a research grade large scale ML infrastructure that will be hardened by SWE

Participate in institute-wide initiatives, workshops, and seminars to promote cross-disciplinary collaboration and knowledge sharing

Support the promotion of open science through publishing papers and open-source code

Qualification

AI/ML model developmentPython-based ML librariesLarge-scale biological dataData pipeline developmentStatistical analysisData visualizationOpen science promotionProblem-solving skillsCollaboration

Required

PhD in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field; or equivalent combination of degree and experience

Minimum of 5 years postdoctoral / work experience

Demonstrated ability to design, implement and apply AI/ML models for the analysis of large-scale biological data

Preferred

3 - 7 years of experience developing and applying ML methods

Strong publication record of innovative scientific accomplishments (both individual and team)

Expertise in Python-based ML libraries and frameworks such as PyTorch, Jax, Pyro, NumPy, and Pandas. Solid understanding of statistical analysis, data preprocessing, feature selection, and model evaluation techniques

Experience building data pipelines to make biological data ML-ready, pipeline for model training and evaluation. Knowledge of data preprocessing, normalization, and integration techniques specific to biological and clinical datasets

Experience with data visualization and presentation of complex biological findings to both technical and non-technical audiences

Strong problem-solving skills and ability to develop innovative computational approaches to address complex biological questions

Benefits

Medical

Dental

Vision

Basic life insurance

401k plan

Paid time off

Company

Allen Institute

Glassdoor3.7

The Allen Institute is dedicated to answering some of the biggest questions in bioscience and accelerating research worldwide.

Founded in 2003

Seattle, Washington, USA

501-1000 employees

https://alleninstitute.org/

H1B Sponsorship

Allen Institute has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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Trends of Total Sponsorships

2025 (41)

2024 (33)

2023 (25)

2022 (26)

2021 (17)

2020 (7)