Below is a list of jobs, internships, and grants available to anyone with a background in computation science. Any questions in regards to these listings should be directed to the employer.
The Simons Foundation Flatiron Research Fellow, Developmental Dynamics, Center for Computational Biology
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.
- Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.
- Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session
- Locations: In addition to the below in-person locations, we will have a remote online session:
- New York City
- San Francisco Bay Area
- Washington, DC.
- Dates: All sections will be from 2019-09-16 – 2019-11-08
Round One Entries Due: October 13, 2019
Seungmoon Song and Łukasz Kidziński, postdoctoral fellows at Stanford University, are organizing a scientific challenge to develop a controller that enables a 3D human model to walk. Based on the OpenSim platform, this challenge is one of the official competitions at Neural Information Processing Systems (NeurIPS) 2019. Details on how to participate, including information on free resources to get started, are available at the NeurIPS 2019: Learn to Move Challenge website. You can learn more about reinforcement learning and the challenge in our past webinar, Robust Control Strategies for Musculoskeletal Models Using Deep Reinforcement Learning.
- Due Date: August 1st, 2019
- Due Date: September 3rd, 2019
- Due Date: September 5th, 2019
- Due Date: September 5th, 2019
- Due Date: September 8th, 2019
- Due Date: September 13th, 2019
- Due Date: September 18th, 2019
For other upcoming funding opportunities visit the Funding Opportunities Page on the IMAG Wiki.