The primary mission of the Center for Computational Biology is to create new computational frameworks that will enable scientists to analyze the large and complex data sets that are being generated by new experimental technologies. Tremendous opportunities for discovery are emerging in the biological and biomedical sciences, as well as in traditional physical and social sciences, but they will require the combined power of theory, data analysis, and simulation. In the biomedical sciences, for example, researchers are being confronted by an explosion of information from genome sequencing, gene expression profiling, proteomics, multi-electrode recording, and multiple high-resolution imaging modalities. The focus remains on problems arising in biophysical modeling, genomics, neuroscience, and structural biology, collaborating closely with experimental colleagues.
Reporting to the Group Leader for Developmental Dynamics in the Flatiron Institute's Center for Computational Biology, the Flatiron Research Fellow will be responsible for the following: data-driven biophysical modeling of spatiotemporal processes in developing embryos; processing and statistical analysis of multimodal imaging data; formulation and application of dynamical systems and machine learning strategies to reconstruction of developmental trajectories; formulation, analysis, and application of computational approaches to detection of developmental defects; design of numerical methods for accurate and efficient simulation of tissue patterning and morphogenesis, using continuum and discrete modeling approaches. Flatiron Research Fellows are generally two year-appointments, and can be renewed for a third year, contingent on performance.
Responsibilities include but are not limited to:
- Developing new methods for integrating and analyzing spatially resolved data in all modalities of the central dogma using current state of the art technologies;
- Coordinating efforts across different groups within CCB, the Flatiron Institute, as well as external institutes and universities;
- Actively participating in the preparation of manuscripts for publication and present at scientific conferences;
- Assisting in peer- and student-mentorship; and,
- Sharing expertise and providing training and guidance to group members as needed.
This position will be based, and have a principal office or workspace, at the foundation in New York City.
- Ph.D in applied mathematics, biostatistics, computational biology, computer science, engineering, physics, or related disciplines.
- At least 3 years of experience in computational science
- Exceptional abilities in analysis, software and algorithm development, modeling and/or scientific simulation
- Prior experience with numerical optimization, dynamical systems, and time series analysis
- In-depth understanding of modern high-throughput technologies in the life sciences required;
- Prior experience with Bayesian inference, network inference and image analysis are preferred, but exceptionally creative and driven scientists with an interest will be seriously considered;
- Strong oral and written communication, data documentation, and presentation skills required;
- Ability to handle multiple projects at the same time required; and,
- Excellent collaborative and interpersonal skills required.
Required Application Materials
- CV with bibliography
- Research statement describing past important results and proposed research program
The Simons Foundation’s Diversity Commitment
Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation provides equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status or any other protected category under federal, state and local law.