Scientist I, Explanatory Modeling in the Continuum Space
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.
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
Skills
- PhD in applied mathematics, biophysics, bioengineering, cell biology or a related science or engineering degree; or equivalent combination of degree and experience required
- 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 Overview
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