Research Analyst
About The Position
The Simons Foundation is a private foundation established in 1994 in New York City by Jim and Marilyn Simons. With an annual grants and programs budget of $300 million, the foundation’s mission is to advance the frontiers of research in mathematics and the basic sciences. The foundation pursues its mission through its grant-making division, comprising programs in Mathematics and Physical Sciences, Life Sciences, Outreach and Education, and autism research, and through its internal research division, the Flatiron Institute. The foundation is also committed to advancing autism research. Launched in 2005, the Simons Foundation Autism Research Initiative (SFARI) is a research campaign within the Simons Foundation’s overall suite of programs whose mission is to improve the understanding, diagnosis and treatment of autism spectrum disorders by funding innovative research of the greatest quality and relevance. The Research Analyst will be responsible for working on Quasi-Newton parallel scan for MCMC--explore O(log N) algorithms for generating length N Markov chains with N/2 processors, and Walnuts adaptive Hamiltonian Monte Carlo---collaborate with CCM staff on the C++ core and Python and R interfaces. The work involves a combination of machine learning, modeling, and signal processing. This requires experience in computer science, machine learning, and applied mathematics.
Requirements
- Bachelor’s degree in mathematics, computer science or a related technical discipline
- 1-2 years of advanced course work in mathematics, computer science or related technical discipline
- Demonstrated understanding of basic research skills
- Knowledge of software engineering practices for working in groups
- Working knowledge of programming languages such as Python, C++ and Java
- Expertise in algorithms and data structures and/or in computational methods
- Technical and scientific curiosity
- Professional communication skills
Responsibilities
- Explore O(log N) algorithms for generating length N Markov chains with N/2 processors.
- Collaborate with CCM staff on the C++ core and Python and R interfaces for Walnuts adaptive Hamiltonian Monte Carlo.
Benefits
- Outstanding benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
