HPC & Data Science Research Lead

UCSF Career Site; California; On-site; USD 160,000 - 200,000; Full time

Job summary

UCSF Career Site seeks a Computational and Data Science Research Supervisor II in California. The role blends computational, data science, CI and HPC leadership to supervise research, development and deployment of high-performance computing and data science resources.

You will guide staff and manage priorities, proposals and budgets. You will also coordinate cross-disciplinary effort, mentor team members, and communicate complex concepts to diverse stakeholders while advancing strategic research

Qualifications

• Leads a technical staff of HPC/Data/CI professionals or scientists.
• Applied knowledge of HPC hardware/software, performance analysis and CI tools.
• Strong mentoring, supervision and HR-related skills.
• Ability to communicate complex technical concepts to varied audiences.
• Experience with computing/data environments including HPC and data science tools.
• Demonstrated ability to initiate research proposals and secure funding.
• Proven project leadership and management within research tech teams.
• Strong verbal and written communication and analytical abilities.
• Knowledge of strategic planning for research/tech directions.
• Experience acquiring and integrating HPC infrastructure technologies.

Responsibilities

• Oversee a team performing HPC/data/CI research, development and deployment.
• Provide direction, priority setting and workflow analysis for projects.
• Review proposals and advise on research and technology programs.

Skills

Staff leadership

HPC analysis

R&D methods

Mentoring

Technical communication

Complex computing

Proposal development

Project leadership

Communication

Strategic planning

HPC infrastructure mgmt

Education

Bachelor's Degree

Job description

UCSF Career Site seeks a Computational and Data Science Research Supervisor II in California. The role blends computational, data science, CI and HPC leadership to supervise research, development and deployment of high-performance computing and data science resources.

You will guide staff and manage priorities, proposals and budgets. You will also coordinate cross-disciplinary effort, mentor team members, and communicate complex concepts to diverse stakeholders while advancing strategic research