Scientific Data Analyst - Arabian Center For Climate And Environmental Sciences (Fixed term until August 31, 2026)

Posting Number 2023-12018
Posted Date 3 weeks ago(5/12/2023 5:18 AM)
Department
Arabian Center For Climate And Environmental Sciences (ACCESS)
School/Division
NYU Abu Dhabi (AD00001)
Compensation Grade
Band 52
Is relocation available for this job?
Yes
FT/PT
Full-Time
Category
Business/Professional Administrative

Position Summary

UAE Nationals are encouraged to apply

New York University Abu Dhabi (NYUAD) seeks to appoint a Scientific Data Analyst reporting to the Associate Professor of Mathematics; Global Network Associate Professor of Mathematics, Courant Institute of Mathematical Sciences, NYU.

 

The Arabian Center for Climate and Environmental Sciences (ACCESS) at New York University Abu Dhabi, seeks to recruit a Scientific Data Analyst with the primary responsibility of designing, implementing and managing open-source, full-stack data solutions for storing, analyzing, backing up, and making available the scientific data produced by the center.

ACCESS is currently producing data from a wide variety of sources, including oceanographic instruments (ADCPs, multiparameter loggers, profilers), atmospheric instruments (air quality stations), genomic sequencing, atmospheric and ocean circulation models, drones, etc.

 

Key Responsibilities:

  • Designing, implementing and managing open-source, full-stack data solutions for storing
  • Analyzing, backing up, and making available the scientific data produced by the center
  • Gathering data from sensor devices, especially oceanographic / water quality / atmospheric
  • Working with large gridded datasets stored in the net CFD or similar data format
  • Managing and developing for HPC environments by using, managing / analyzing genomic data, embedded programming and IoT devices; acquiring and processing drone imagery
  • Willingness in helping in field data-acquisition missions (both on land or at sea) would be appreciated

This position is renewable, subject to satisfactory performance and funding availability.

Qualifications

Required Education:

  • Undergraduate degree in Computer Science/ Engineering

Preferred Education:

  • Undergraduate degree in Computer Science, Computer Engineering or related subjects

Required Experience:

  • Linux system manager with excellent knowledge of the Python programming language
  • Provable experience in full-stack development and strong database-related skills

Preferred Experience:

  • Provable experience in data stewardship, with some previous experience working with scientific data
  • Designing, implementing and managing open-source, full-stack data solutions for storing, analyzing, backing up, and making available the scientific data produced by the center
  • Gathering data from sensor devices, especially oceanographic / water quality / atmospheric; working with large gridded datasets stored in the netCFD or similar data format; using / managing / developing for HPC environments; using / managing / analyzing genomic data; embedded programming and IoT devices; acquiring and processing drone imagery. Willingness in helping in field data-acquisition missions (both on land or at sea)

Additional Information

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

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