Karr Lab @ Mount Sinai | Full-time software engineer in computational systems biology | New York | Onsite | https://www.karrlab.org/join
Despite the explosion of data, we do not understand how phenotype arises from genotype. We are developing whole-cell computational models to predict how cell behavior emerges from the molecular level. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is interdisciplinary and team-oriented.
We are looking for an additional team member to develop computational methods and software tools for whole-cell modeling. Examples of tools that we are developing include
- An database of biochemical and genomic data for cell modeling and tools for discovering relevant data for modeling;
- A framework for scalably designing models;
- A simulation web service;
- A database for simulation results and tools for mining large-scale simulation results; and
- Web-based tools for interactively visualizing simulation results.
Whole-cell modeling is highly interdisciplinary. Consequently, we're looking for team members with a broad range of relevant skills and experience in computational biology, computer science, and software engineering
Karr Lab (http://www.karrlab.org) @ Mount Sinai Medical School | New York, NY 10029 | Research Associate, Postdoctoral Fellow, or Software engineer | Full-Time | ONSITE | $60-70k
The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking a talented, ambitious scientists and engineers to develop technology for building, simulating, and applying cutting-edge whole-cell computational models of individual cells.
We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
We are looking for scientists and engineers to help develop several technologies, including a domain-specific language for describing whole-cell models, a parallel multi-algorithmic simulator, scalable tools for visualizing and analyzing high-dimensional simulation results, and tools for handling personal `omics data.
Karr Lab (http://www.karrlab.org) @ Mount Sinai Medical School | New York, NY 10029 | Research Associate, Postdoctoral Fellow, or Software engineer | Full-Time | ONSITE | $60-70k
The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking a talented, ambitious scientists and engineers to develop technology for building, simulating, and applying cutting-edge whole-cell computational models of individual cells.
We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
We are looking for scientists and engineers to help develop several technologies, including a domain-specific language for describing whole-cell models, a parallel multi-algorithmic simulator, scalable tools for visualizing and analyzing high-dimensional simulation results, and tools for handling personal `omics data.
Karr Lab (http://www.karrlab.org) @ Mount Sinai Medical School | New York, NY 10029 | Research Associate, Postdoctoral Fellow, or Software engineer | Full-Time | ONSITE | $60-70k
The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking a talented, ambitious scientists and engineers to develop technology for building, simulating, and applying cutting-edge whole-cell computational models of individual cells.
We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
We are looking for scientists and engineers to help develop several technologies, including a domain-specific language for describing whole-cell models, a parallel multi-algorithmic simulator, scalable tools for visualizing and analyzing high-dimensional simulation results, and tools for handling personal `omics data.
Karr Lab (http://www.karrlab.org) @ Mount Sinai Medical School | New York, NY 10029 | Research Associate, Postdoctoral Fellow, or Software engineer | Full-Time | ONSITE | $50-70k
The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking a talented, ambitious scientists and engineers to develop technology for building, simulating, and applying cutting-edge whole-cell computational models of individual cells.
We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
We are looking for scientists and engineers to help develop several technologies, including a domain-specific language for describing whole-cell models, a parallel multi-algorithmic simulator, scalable tools for visualizing and analyzing high-dimensional simulation results, and tools for handling personal `omics data.
Karr Lab (http://www.karrlab.org) @ Mount Sinai Medical School | New York, NY 10029 | Software engineer, Research Associate, or Postdoctoral Fellow | Full-Time | ONSITE | $50-80k
The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking a talented, ambitious scientists and engineers to develop technology for building, simulating, and applying cutting-edge whole-cell computational models of individual cells.
We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
We are looking for scientists and engineers to help develop several technologies, including a domain-specific language for describing whole-cell models, a parallel multi-algorithmic simulator, scalable tools for visualizing and analyzing high-dimensional simulation results, and tools for handling personal `omics data.
Karr Lab (http://www.karrlab.org) @ Mount Sinai Medical School | New York, NY 10029 | Software engineer, Research Associate, or Postdoctoral Fellow | Full-Time | ONSITE | $50-80k
The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking a talented, ambitious scientists and engineers to develop technology for building, simulating, and applying cutting-edge whole-cell computational models of individual cells.
We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
We are looking for scientists and engineers to help develop several technologies, including a domain-specific language for describing whole-cell models, a parallel multi-algorithmic simulator, scalable tools for visualizing and analyzing high-dimensional simulation results, and tools for handling personal `omics data.
Karr Lab (http://www.karrlab.org) @ Mount Sinai Medical School | New York, NY 10029 | Full-Time | ONSITE
The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking talented, ambitious engineers to develop technology for building, simulating, and applying cutting-edge whole-cell computational models of individual cells.
We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
We are looking for software engineers to develop several technologies, including a domain-specific language for describing whole-cell models, a parallel multi-algorithmic simulator, scalable tools for visualizing and analyzing high-dimensional simulation results, and tools for handling personal `omics data.
Karr Lab (http://www.karrlab.org) @ Mount Sinai Medical School | New York, NY 10029 | Full-Time | ONSITE
The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking talented, ambitious engineers to develop technology for building, simulating, and applying cutting-edge whole-cell computational models of individual cells.
We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
We are looking for software engineers to develop several technologies, including a domain-specific language for describing whole-cell models, a parallel multi-algorithmic simulator, scalable tools for visualizing and analyzing high-dimensional simulation results, and tools for handling personal `omics data.
Karr Lab (http://www.karrlab.org) @ Mount Sinai Medical School | New York, NY 10029 | Full-Time | ONSITE
The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking talented, ambitious engineers to develop technology for building, simulating, and applying cutting-edge whole-cell computational models of individual cells.
We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
We are looking for software engineers to develop several technologies, including a domain-specific language for describing whole-cell models, a parallel multi-algorithmic simulator, scalable tools for visualizing and analyzing high-dimensional simulation results, and tools for handling personal `omics data.
The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking talented, ambitious researchers to develop cutting-edge whole-cell computational models of individual cells, as well as new technologies to enable larger and more accurate whole-cell models.
Despite the explosion of experimental data, we do not understand the details of how phenotype arises from genotype and the environment. We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. For example, we believe that whole-cell models could enable bioengineers to design microbial genomes for a variety of industrial applications, as well as enable physicians to tailor medical therapy to individual patients. Our research is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.
Postdoctoral Fellow/Scientist/Software Engineer in whole-cell modeling - Mt Sinai School of Medicine, New York NY
The Karr lab in the Institute for Genomics & Multiscale Biology at the Mount Sinai School of Medicine is seeking talented, ambitious individuals to develop cutting-edge dynamical models of human and bacterial cells. Despite the explosion of experimental data, we do not comprehensively understand how phenotype arises from genotype. Our approach is to develop computational models which predict how behavior emerges from the molecular level by integrating diverse data into a single model. Our goal is to use models to make medicine more precise and personalized by predicting disease progression and drug responses. We are also using our models to engineer bacteria. Our research is highly interdisciplinary involving computational modeling, software engineering, data visualization and curation. We have close collaborations with several experimental groups to build and test our models.
Responsibilities: The candidate will be responsible for developing human and bacterial whole-cell models for precision cancer medicine and synthetic biology. This will include expanding the scope of whole-cell models, incorporating new sources of high-throughput genomic data, and improving the accuracy of whole-cell models. The candidate will work closely with experimental cancer collaborators at Mount Sinai, as well as with Luis Serrano's laboratory at the Center for Regulatory Genomics in Barcelona, Spain.
Desired skills/experience: The ideal candidate has the following skills. Applicants with deep experience in related fields are also encouraged to apply.
- Deep experience in dynamical and genome-scale modeling, software engineering, data visualization, and databases;
- Strong knowledge of biology, physics, mathematics, and computation;
- Several years experience in computational systems biology is a plus;
- Excellent object-oriented programming skills in Python, MATLAB, and JavaScript;
- Ability to learn new skills and concepts; - Excellent oral and written communication skills; and
- Abilities to work independently and within a team effort.
How to apply: Please send a cover letter indicating your research and career goals, a CV, and 2-3 letters of reference to Jonathan Karr ([email protected]).
Postdoctoral Fellow/Scientist/Software Engineer in whole-cell modeling - Mt Sinai School of Medicine, New York NY
The Karr lab in the Institute for Genomics & Multiscale Biology at the Mount Sinai School of Medicine is seeking talented, ambitious individuals to develop cutting-edge dynamical models of human and bacterial cells. Despite the explosion of experimental data, we do not comprehensively understand how phenotype arises from genotype. Our approach is to develop computational models which predict how behavior emerges from the molecular level by integrating diverse data into a single model. Our goal is to use models to make medicine more precise and personalized by predicting disease progression and drug responses. We are also using our models to engineer bacteria. Our research is highly interdisciplinary involving computational modeling, software engineering, data visualization and curation. We have close collaborations with several experimental groups to build and test our models.
Responsibilities: The candidate will be responsible for developing human and bacterial whole-cell models for precision cancer medicine and synthetic biology. This will include expanding the scope of whole-cell models, incorporating new sources of high-throughput genomic data, and improving the accuracy of whole-cell models. The candidate will work closely with experimental cancer collaborators at Mount Sinai, as well as with Luis Serrano's laboratory at the Center for Regulatory Genomics in Barcelona, Spain.
Desired skills/experience: The ideal candidate has the following skills. Applicants with deep experience in related fields are also encouraged to apply.
- Deep experience in dynamical and genome-scale modeling, software engineering, data visualization, and databases;
- Strong knowledge of biology, physics, mathematics, and computation;
- Several years experience in computational systems biology is a plus;
- Excellent object-oriented programming skills in Python, MATLAB, and JavaScript;
- Ability to learn new skills and concepts;
- Excellent oral and written communication skills; and
- Abilities to work independently and within a team effort.
How to apply: Please send a cover letter indicating your research and career goals, a CV, and 2-3 letters of reference to Jonathan Karr ([email protected]).
Despite the explosion of data, we do not understand how phenotype arises from genotype. We are developing whole-cell computational models to predict how cell behavior emerges from the molecular level. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. Our work is interdisciplinary and team-oriented.
We are looking for an additional team member to develop computational methods and software tools for whole-cell modeling. Examples of tools that we are developing include - An database of biochemical and genomic data for cell modeling and tools for discovering relevant data for modeling; - A framework for scalably designing models; - A simulation web service; - A database for simulation results and tools for mining large-scale simulation results; and - Web-based tools for interactively visualizing simulation results.
Whole-cell modeling is highly interdisciplinary. Consequently, we're looking for team members with a broad range of relevant skills and experience in computational biology, computer science, and software engineering
More information: https://www.karrlab.org/join.
To apply: Email a cover letter and your CV to [email protected].