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Staff Scientist Cloud Computing

  • Location: Bethesda, MoCo, Maryland
  • Job Type:Contract

Posted 27 days ago

  • Sector: Government
  • Start Date: 2022-06-01
  • Job Ref: 22-11285
The NIH is looking for a Staff Scientist Cloud Computing analyst for their Bethesda, MD location.

Overall Position Summary and Objectives We are primarily interested in candidates with expertise in setting up cloud computing environments, machine learning on the cloud, and deployment of machine learning models on the cloud. In particular, we plan to use Amazon AWS services. Having experience with AWS Sagemaker and Amazon Mechanical Turk is highly preferred. The incumbent will work closely with a team of computer scientists, engineers and radiology technologists and support post-doctoral and other trainees.
Minimum Education
Resume Max Pages
Certifications & Licenses
  • AWS Cloud Practitioner (Preferred)
Skills (Ranked By Priority)
  1. Cloud Computing
  2. Machine learning
  3. Scientific Data analysis
1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked
  • Scikit-learn
  • Pytorch
  • TensorFlow
Field of Study
  • Computer Science
  • Computer and Information Systems
  • Information Sciences
  • Meet with lab members to present updates - Weekly
  • Work products and documents related to setting up and main-taining cloud computing environments - Bi-Weekly
  • Work products and documents related to performing model deployment on the cloud - Bi-Weekly
  • Work products and documents related to troubleshooting problems with the cloud computing environment - Bi-Weekly
  • Work products and documents related to setting up and main-taining crowd-sourced labeling tasks on Amazon Mechanical Turk - Bi-Weekly
  • Work products and documents related to preparing research data for presentation and manuscripts, and IRB submissions. - Ad-Hoc
functional responsibility
Provides technical experience needed to perform analyses, processing and user support of various computer systems using standard statistical procedures and techniques.
  • Provide integrated domain expertise across complex computational environments.
  • Provide software recommendations and solutions across diverse scientific applications, including freeware relevant to analyses of scientific discovery.
  • Provide support and consultation in the areas of scientific computation, application-development and computer modeling.

Support and maintain scientific computer systems including hardware, operating systems, and associated services in a high-performance computing environment

Compiles and manages data and assists with quality control.