Data Scientist (Various Levels), CCQ

Center for Computational Quantum Physics (CCQ)
New York, New York
Salary commensurate with experience
Oct 05, 2020
Nov 04, 2020
Field of specialization
Computers / Computational / Informatics
Work Function
Job Type
Full time


Directed by Antoine Georges and co-directed by Andrew Millis, the Center for Computational Quantum Physics (CCQ) is a leading international center for the study of equilibrium and non-equilibrium many-body quantum systems, with applications to condensed matter physics, materials science, chemistry and related fields. The development of the concepts, algorithms and code libraries needed to advance the field is fundamental to the work of the center. Research projects currently pursued at CCQ cover a broad range of methods and interest, see:

CCQ currently comprises more than 40 scientists at various career stages from recent Ph.D.s through senior scientists, also including data scientists, support staff and scientific visitors, and is planning to grow to 50+. The institute has a vigorous visitor and workshop programs and strong interactions with scientists from neighboring institutions.

The CCQ seeks a data scientist or associate data scientist with a background in computational physics/chemistry methods and software development. Depending on experience and qualification, the position may be at the associate data scientist or data scientist level. This full-time position offers an exceptional long-term career opportunity at the interface of science and computing, with flexibility to be immersed in frontier scientific research while focusing on computing, algorithms, and technical support.

The occupant of this position will report to a senior research scientist at CCQ and will be responsible for developing the core library and algorithms for a CCQ software suite for quantum Monte Carlo methods, featuring auxiliary-field and related approaches for both model systems and real materials. The position also supports the associated scientific community by creating documentation, responding to user questions, and addressing bug reports. This position may be expected to: provide training through mentoring junior scientists; giving lectures and tutorials at the Flatiron Institute; and external activities such as summer schools. The scientific output of this position also includes publications produced in collaboration with scientists at the Flatiron Institute and elsewhere. Interactions with staff across the Flatiron Institute including domain scientists, data scientists, and the scientific computing core provide unparalleled opportunities for professional development.



  • PhD in Physics, Theoretical Chemistry or related field

Required Qualifications & Related Skills:


  • Excellent abilities in the development of scientific software for research
  • Experience with quantum Monte Carlo or closely related methods, and with lattice models, electronic structure or quantum chemistry calculations
  • Proficiency with a major programming language such as C++
  • Effective oral and written communication skills
  • Ability to work well independently as well as in a collaborative team environment.

Other Desired Qualifications:



  • Strong knowledge in quantum many-body physics and chemistry
  • Experience with the Julia or Python programming language
  • Experience with high-performance computing including MPI and GPU, and with optimizing code performance in linux/unix environments

Required Application Materials



  • CV
  • Vision statement outlining both past accomplishments and plans for engagement with the software development and scientific research at Flatiron Institute
  • Three (3) letters of recommendation submitted confidentially by the letter writers to



Review of applications will commence immediately and will continue until the position is filled.


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.