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Research Data Scientist

Inside Higher Ed

$142,000 - $200,000
Aug 26, 2025
Stanford, CA, US
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Stanford Data Science is seeking a Research Data Scientist to support a new initiative, Marlowe, a GPU-centric high-performance computing instrument designed to enable large-scale, data-intensive research, including sophisticated machine learning applications like large-language models. The role aims to unlock Marlowe's capabilities by developing and optimizing workflows and applications, and to act as a bridge between Marlowe and the research community by guiding researchers in adapting their applications to the GPU-powered infrastructure.

Requirements

  • deep understanding of computational and data science, machine learning, and the scientific process.
  • ability to leverage high-performance GPU computing to efficiently process and analyze large datasets.
  • Comfortable running and troubleshooting jobs in a batch scheduled environment
  • Considerable experience with Linux

Responsibilities

  • Collaborate with Principal Investigators (PIs) and research groups to architect and optimize GPU-accelerated pipelines.
  • Develop innovative computational methodologies
  • Design advanced data movement strategies to minimize memory bottlenecks between CPU and GPU, including real-time data streaming methods for scientific applications.
  • Partner with research teams to design novel algorithms and develop high-quality, reusable software to accelerate complex research projects.
  • Assist PIs in applying for supercomputing resources at national centers once projects are scaled and workloads are appropriate.
  • Install, configure, and maintain software stacks for core research functions.
  • Integrate open science principles into research workflows, including software for data and computational provenance.

Other

  • This is a 3-year fixed term appointment.
  • Remote work for the Research Data Scientist position will be considered.
  • The Research Data Scientist may be asked to attend certain in-person work events during the year regardless of remote status.
  • Experience supervising technical staff including training, mentoring and coaching.
  • Experience developing and writing grant proposals.