Job Description:
We are seeking a talented and enthusiastic individual to join the Allen Institute for Cell Science’s Modeling team. 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 components 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 Modeling team will contribute to an open science platform to unite modeling across multiple scales. This Scientist-level position will have a strong background in modeling, including biophysical and data-driven approaches and, together with team members, be responsible for conceiving, implementing and maintaining modeling formalisms and computational toolsets and workflows. Tasks may include, but are not limited to, evaluating and implementing mathematical approaches for data integration to address basic and mechanistic questions in cell organization, developing computational research tools, and working collaboratively with the software engineering team to ensure production-level translation of best approaches, all with development best practice and an open science approach in focus. S/he will additionally work collaboratively with the assay development, microscopy, and visualization teams to achieve the goals and objectives of the institute. The ideal candidate for the modeling team will have the following qualities:
Additional Info:
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. [Click Here to Access the Original Job Post]
We are seeking a talented and enthusiastic individual to join the Allen Institute for Cell Science’s Modeling team. 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 components 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 Modeling team will contribute to an open science platform to unite modeling across multiple scales. This Scientist-level position will have a strong background in modeling, including biophysical and data-driven approaches and, together with team members, be responsible for conceiving, implementing and maintaining modeling formalisms and computational toolsets and workflows. Tasks may include, but are not limited to, evaluating and implementing mathematical approaches for data integration to address basic and mechanistic questions in cell organization, developing computational research tools, and working collaboratively with the software engineering team to ensure production-level translation of best approaches, all with development best practice and an open science approach in focus. S/he will additionally work collaboratively with the assay development, microscopy, and visualization teams to achieve the goals and objectives of the institute. The ideal candidate for the modeling team will have the following qualities:
- Enjoys working closely as a team, towards a common goal
- Is comfortable working on a team together with scientists, learning about their work and collaboratively developing creative solutions for problem solving and standardization
- Is curious and enjoys learning new tools, techniques and technologies relevant to mathematical modeling in biology
- Enjoys developing clean, maintainable code with an eye towards excellence, and considers both the short-term and long-term impact of design choices
- See the vision and mission of the Allen Institute for Cell Science.
- Conceive and design strategies for computational modeling and simulation addressing topics in cellular organization, including relevant workflows, in collaboration with Modeling team.
- Provide expert advice with a range of scientific computing problem settings, including support evaluation of appropriate libraries and applications for modeling.
- Contribute to development of in-house tools for numerical analysis and computational simulation, including relevant workflows, in collaboration with Modeling team.
- Work with software engineers on related teams to transform prototype algorithms into professionally packaged, properly factored reusable libraries and applications.
- Perform any software development tasks using best practices - follow industry standards, develop unit tests, participate in code reviews, etc.
- Coordinate with other programs in the Institute to ensure seamless integration and sharing of resources and data.
- Prepare written and/or graphical summaries and present activities internally and publicly.
- PhD in computer science, applied mathematics, biomedical engineering, mechanical engineering, electrical engineering, computational biology, bioinformatics, biophysics or related degree.
- 2+ years academic experience in computational science required.
- Experience with Python is required.
- Experience working in Linux/UNIX environment required.
- Familiarity with software engineering practices such as build-management, testing, etc. is required.
- Knowledge of scientific computing.
- Careful attention to detail required.
- Strong communication skills required.
- Ability to work independently as well as in a collaborative, multi-disciplinary environment required.
- Experience with mathematical model development a plus.
- Knowledge of image-processing and/or image analysis applications a plus.
- Experience working in a multi-disciplinary environment in academic or industrial settings a plus.
- Experience with machine learning approaches and libraries a strong plus.
- Experience with scientific computing and implementation of diverse numerical strategies a strong plus.
- Experience with numerical grid generation and physical simulation approaches a plus.
- Knowledge of cell biology and/or basic biomedical sciences preferred.
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Additional Info:
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. [Click Here to Access the Original Job Post]