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Columbia University Staff Associate I in New York, New York

Posting Details

Job Requisition Number 00001864

Field(s) of Specialization

Position Title Staff Associate I

Department EIL Lamont Divisions

Division Lamont Doherty Earth Observatory

Location Lamont-Doherty Earth Observatory

Summary Description

The Staff Associate I will join the Data Library team at the International Research Institute for Climate and Society (IRI) to support, maintain, develop and use the Data Library to accomplish the objectives of IRI projects and the mission of the institution.

General responsibilities include the acquisition, development, and maintenance of climate-related datasets and associated metadata to be served through the IRI Data Library. This includes working with IRI research scientists and providing assistance with datasets and climate forecast model output and using analytical skills for the production of climate-related analyses to meet project objectives, typically using the Data Library programming language (Ingrid, based on postscript). The candidate will also work collaboratively with project scientists and international and domestic partners from a variety of disciplines, such as health, food security, agriculture, and natural hazards, to adapt and develop specialized “Maproom” data analyses and online products and tools based upon Data Library functionality.

Duties and Responsibilities include: - Acquire, develop, and maintain climate-related datasets from observations and forecast models in the IRI Data Library. This includes operating tools to import the data files for a dataset, developing a metadata catalog entry for the dataset, and writing update scripts for datasets that are updated regularly. - Adapt and develop specialized point and click web pages (Maprooms) for dataset visualization and analysis. These will be web pages that include JavaScript, html, xml and python coding to provide the user with menu and visualization options to access tailored datasets and analyses responding to user needs. - Develop training materials for partners to further develop their own Data Library and Maprooms, or for partners to use Data Library and Maprooms products. Conduct or assist in conducting such training, remotely or on partners’ sites. - Respond to dataset-related questions from users and researchers. This will include using analytical skills to research and understand the strengths and weaknesses of particular climate-related datasets; determine which climate datasets are most suitable for specific analysis in different parts of the world. - There are no supervisory responsibilities for this position. The candidate will receive general supervision and direction, and should be self-motivated. The candidate should be willing to work on projects as a member of multiple teams, working within guidelines set by the PI to carry out assigned duties.

Minimum Degree Required

Bachelor’s Degree

Minimum Qualifications

  • Bachelor’s Degree in meteorology, oceanography, atmospheric physics, mathematics, or geophysics and 4 years’ experience preferred.
  • Previous experience with computer programming, scripting, and geospatial data analysis in the area of climate science in a Unix/Linux operating system environment.
  • Familiarity with the output from climate forecast models and other climate-related data products.
  • Familiarity with data formats commonly used in climate science, such as netCDF, HDF, and GRIB/GRIB2, and related tools.
  • English writing and communication skills.

Preferred Qualifications

  • Experience in python, as well as in version control software (e.g. git), desirable.
  • Skills in other languages such as Spanish and French desirable.

Additional Information

Appointments are made on a fiscal year basis and are eligible for renewal each July 1st, contingent upon performance and funding.

The search will remain open for at least 30 days after the ad appears and will continue until the position is filled.

RAPS posting date 09/10/2020

Search Closing Date

Special Instructions to the Applicant

We accept online applications only.

Proposed Start Date

EEO Statement

The Lamont community values diversity and inclusion and encourages applications from members of underrepresented minority groups.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

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Supplemental Questions

Required fields are indicated with an asterisk (*).

Documents Needed to Apply

Required Documents

  • Curriculum Vitae

  • List of References

Optional Documents

  • Cover Letter