NECAT Beamline

The Northeastern Collaborative Access Team (NE-CAT) facility at the Advanced Photon Source at Argonne National Laboratory is managed by Cornell University and consists of seven member institutions:

  • Columbia University
  • Cornell University
  • Harvard University
  • Memorial Sloan-Kettering Cancer Center
  • Massachusetts Institute of Technology
  • Rockefeller University
  • Yale University.
  • Primary funding for this project comes from the National Center for Research Resources (NCRR), a division of the National Institutes of Health (NIH). Additional financial support for NE-CAT comes from the member institutions.

    Scientific Computer Manager at NE-CAT, Cornell University

    The Northeastern Collaborative Access Team (NE-CAT), located at the Advanced Photon Source at the Argonne National Laboratory in Argonne, IL and managed by Cornell University, is seeking applicants for a Computer Manager specializing in scientific programming. This is a one year position that has the potential to be extended. The primary responsibility of the incumbent will be to participate in the development of software for X-ray crystallographic data collection and processing. More specifically, projects under active development include real time data monitoring and processing, strategy calculation for kappa goniometry, scaling and merging of multiple crystals, continuous rastering of needle-like samples during data collection, and user interface features that include a remote interface for monitoring the progress of data collection. In addition to software development, the candidate will be responsible for management of the current beamline computers and overseeing the implementation of a new 8-node cluster.

    Knowledge, Skills, and Experience Requirements

    Applicants should have a Bachelors degree in computer systems analysis, computer programming, engineering or physical sciences or a related field, with a computer programming emphasis. The applicant should have a strong interest in scientific programming. Working knowledge of advanced programming languages such as Python and C++ as well as experience administering a Linux cluster are desirable assets as is prior experience with use of crystallography software and analysis of data from synchrotron sources. Applicants must have strong interpersonal skills in working closely and successfully with a diverse set of beamline users and other staff members as well as good communication skills, both oral and written.

    Candidates should fill out an application at https://cornellu.taleo.net/careersection/10164/jobdetail.ftl?lang=en&job=11588. Applications will be accepted until the position is filled. Cornell is an equal opportunity, affirmative action educator and employer.