HPC & Data Science Research Supervisor

University of California, San Francisco

California (MO)

Hybrid

USD 180,000 - 260,000

Full time

2 days ago
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Job summary

University of California, San Francisco seeks a senior leader to guide HPC/CI research, software development and data science initiatives. You will oversee design, development, analysis and operation of high performance computing resources and data tools, providing strategic direction and mentoring to a diverse technical team.

The role emphasizes collaboration across disciplines, proposal development and external engagement to advance computational research at UCSF.

Qualifications

  • Experience leading HPC/CI research teams and projects.
  • Knowledge of HPC hardware/software, power and performance analysis.
  • Ability to design, modify and deploy HPC/data science applications.
  • Proven track record in research proposal development and funding.
  • Strong communication with technical and non-technical audiences.
  • Background in data science, CI, or computational chemistry domains.

Responsibilities

  • Lead research and development of HPC/CI software and tools.
  • Oversee operation and support of HPC and data science resources.
  • Develop data algorithms, perform computations and analyses.
  • Provide direction and mentorship to team of researchers and staff.

Skills

Lead technical staff HPC/Data/CI
HPC power/perf analysis
Research & development leadership
Strategic planning
Mentoring & staff development
Effective communication
Project leadership & management
Funding acquisition
Data algorithms & analytics

Job description

University of California, San Francisco seeks a senior leader to guide HPC/CI research, software development and data science initiatives. You will oversee design, development, analysis and operation of high performance computing resources and data tools, providing strategic direction and mentoring to a diverse technical team.

The role emphasizes collaboration across disciplines, proposal development and external engagement to advance computational research at UCSF.

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