Job Description:
The goal of the Models and Theory team is to produce models of cells as integrated systems, employing output from a high content, live cell microscopy pipeline to develop algorithms that predict positions of intracellular structures, to predict how cellular component reorganize as the stem cell moves through the cell cycle and differentiates and to characterize and predict cell types and states during normal function and under the influence of drugs, changes in the cellular environment, and mutations. Ultimately, the team will contribute to an open science platform to unite modeling across multiple scales. This Scientist-level position will have a strong background in biophysical modeling, including data science approaches and, together with team members, be responsible for implementing and maintaining modeling formalisms and computational toolsets. Tasks may include but are not limited to, evaluating and implementing mathematical approaches for data integration, developing computational research tools, and moving towards biophysically-based approaches to address mechanistic questions in cell organization, all with development best practice and an open science approach. S/he will work collaboratively with the assay development, microscopy, and visualization teams to achieve the goals and objectives of the institute. Job Responsibilities: -Evaluate and iterate modeling approaches for spatial organization and shape variation of cells, tissues and subcellular structures. -Evaluate and iterate modeling approaches to predict cell type and state from subcellular structures. -Evaluate future mathematical approaches for biophysically-based mechanistic modeling of subcellular structure and function. -Assist in development of software toolsets for modeling needs. -Maintain rigorous standards in research code development. -Coordinate with other programs in the Institute to ensure seamless integration and sharing of resources and data. -Prepare written summaries and present activities internally and publicly. Basic Qualifications: -PhD in computer science, biophysics, computational biology, bioinformatics or related discipline with 2+ years hands-on experience in computational science. -1+ years post-PhD. -Experience with mathematical model development. -Knowledge of scientific computing, and careful attention to detail a must. -Knowledge of image-processing applications a plus. -Experience working in a multi-disciplinary environment in academic or industrial settings. -Ability to work alone and in a collaborative, multi-disciplinary environment. -Understanding of cell biology and/or basic biomedical sciences preferred.
Additional Info:
Allen Institute - Seattle, WA The goal of the Allen Institute for Cell Science is to advance understanding of cell behavior in its normal, pathological, and regenerative contexts. The Institute, located in Seattle, Washington, employs a multi-disciplinary team approach to generate novel cellular reagents, models, and databases that are informed by and open to the community. The Institute aims to understand cells, individually and in collectives, as an integrated system of organelles, molecular machines, and regulatory complexes that are repurposed and specialized to generate the plethora of observed cellular behaviors. It will do this using human induced pluripotent stem cells (hiPSCs), gene editing, and live cell imaging, developing predictive models and theory, and creating a novel multi-scale, dynamic and visual output for the experiments and models. [Click Here to Access the Original Job Post]
The goal of the Models and Theory team is to produce models of cells as integrated systems, employing output from a high content, live cell microscopy pipeline to develop algorithms that predict positions of intracellular structures, to predict how cellular component reorganize as the stem cell moves through the cell cycle and differentiates and to characterize and predict cell types and states during normal function and under the influence of drugs, changes in the cellular environment, and mutations. Ultimately, the team will contribute to an open science platform to unite modeling across multiple scales. This Scientist-level position will have a strong background in biophysical modeling, including data science approaches and, together with team members, be responsible for implementing and maintaining modeling formalisms and computational toolsets. Tasks may include but are not limited to, evaluating and implementing mathematical approaches for data integration, developing computational research tools, and moving towards biophysically-based approaches to address mechanistic questions in cell organization, all with development best practice and an open science approach. S/he will work collaboratively with the assay development, microscopy, and visualization teams to achieve the goals and objectives of the institute. Job Responsibilities: -Evaluate and iterate modeling approaches for spatial organization and shape variation of cells, tissues and subcellular structures. -Evaluate and iterate modeling approaches to predict cell type and state from subcellular structures. -Evaluate future mathematical approaches for biophysically-based mechanistic modeling of subcellular structure and function. -Assist in development of software toolsets for modeling needs. -Maintain rigorous standards in research code development. -Coordinate with other programs in the Institute to ensure seamless integration and sharing of resources and data. -Prepare written summaries and present activities internally and publicly. Basic Qualifications: -PhD in computer science, biophysics, computational biology, bioinformatics or related discipline with 2+ years hands-on experience in computational science. -1+ years post-PhD. -Experience with mathematical model development. -Knowledge of scientific computing, and careful attention to detail a must. -Knowledge of image-processing applications a plus. -Experience working in a multi-disciplinary environment in academic or industrial settings. -Ability to work alone and in a collaborative, multi-disciplinary environment. -Understanding of cell biology and/or basic biomedical sciences preferred.
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Additional Info:
Allen Institute - Seattle, WA The goal of the Allen Institute for Cell Science is to advance understanding of cell behavior in its normal, pathological, and regenerative contexts. The Institute, located in Seattle, Washington, employs a multi-disciplinary team approach to generate novel cellular reagents, models, and databases that are informed by and open to the community. The Institute aims to understand cells, individually and in collectives, as an integrated system of organelles, molecular machines, and regulatory complexes that are repurposed and specialized to generate the plethora of observed cellular behaviors. It will do this using human induced pluripotent stem cells (hiPSCs), gene editing, and live cell imaging, developing predictive models and theory, and creating a novel multi-scale, dynamic and visual output for the experiments and models. [Click Here to Access the Original Job Post]