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Allen Institute · 2 days ago

Scientist I, Explanatory Modeling in the Continuum Space

Seattle, WA

Full-time

Hybrid

New Grad, Entry Level

$92K/yr - $114K/yr

The Allen Institute for Cell Science is focused on understanding cell states and their dynamic changes. They are seeking a highly motivated Scientist I to develop and implement multiscale models that explain cellular events, collaborating with a team to build modeling frameworks that predict experimental outcomes.

Neuroscience

H1B Sponsored

Responsibilities

Generate biophysical models that test different biological hypotheses on how cells interact to self-organize into tissues and organoids

Develop robust and reproducible continuum and discrete mechanical models that predict the transport and self-organization of cell populations

Test, falsify and modify these models by working with other programs in the institute and comparing the predictions against microscopy and imaging data

Develop computational frameworks for hybrid modeling of cell populations that combine findings from Machine Learning and other descriptive modeling results with explanatory models

Develop and maintain custom scripts and software tools for modeling (Python proficiency required)

Coordinate with other programs in the Institute to ensure that the modeling outcomes align with and contribute to the overall goals on the project and for seamless integration and sharing of resources and data

Maintain rigorous quality control standards and thorough documentation

Prepare written summaries and present activities internally and publicly

Adherence to SOPs, GLPs and regulatory requirements

Qualification

PythonContinuum mechanicsStatistical mechanicsNumerical algorithms3D live-cell imagingMachine LearningInterpersonal skillsMulti-disciplinary collaboration

Required

PhD in applied mathematics, biophysics, bioengineering, cell biology or a related science or engineering degree; or equivalent combination of degree and experience required

Preferred

Ability to communicate complex concepts and connect them to biological problems

Deep knowledge of continuum and statistical mechanics concepts and their application to biological systems

Advanced proficiency with numerical algorithms for solving PDEs and optimization problems

Experience in integrating neural networks into biophysical models to learn unknown parameters and capture complex interactions

Experience with 3D live-cell and timelapse imaging techniques and data analysis

Familiarity with software engineering practices such as version management, build management and testing

Excellent interpersonal skills

Experience working in a multi-disciplinary environment in academic or industrial settings

Ability to work both independently and in a collaborative, multi-disciplinary environment

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

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Trends of Total Sponsorships

2025 (41)

2024 (33)

2023 (25)

2022 (26)

2021 (17)

2020 (7)