HPC & Data Science Research Scientist

UCSF Health, AG; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

UCSF Health, AG in San Francisco seeks a seasoned professional to lead research and development at the intersection of HPC, data science, and cyberinfrastructure. The role spans bioinformatics, GIS, data analytics and computational chemistry to design and implement scalable tools and workflows.

You will conduct research, develop data algorithms, perform analyses, and provide operation and support for HPC resources, collaborating with researchers and IT leadership to map needs to robust, reusable

Qualifications

• Intermediate to advanced knowledge of HPC / data science / CI.
• Experience with HPC hardware and software power and performance analysis.
• Ability to interface with management.
• Ability to contribute research to grant proposals.
• Strong communication and interpersonal skills.
• Ability to explain technical information to diverse audiences.
• Proven ability to work on multiple concurrent projects.
• Experience mapping research needs to requirements and implementing solutions.
• Experience in HPC performance benchmarking and optimization.
• Ability to collaborate with staff, students, faculty and administrators.

Responsibilities

• Research and develop HPC, data science, and CI tools and components.
• Perform design, development, analysis, operation and support of HPC resources.
• Develop data algorithms and perform computations, statistics, and reporting.
• Collaborate with researchers and IT leadership to integrate new technologies.

Skills

HPC expertise

Data science

CI tools

Research collaboration

Communication

Project management

Tools

HPC tools

Performance analysis

Job description

UCSF Health, AG in San Francisco seeks a seasoned professional to lead research and development at the intersection of HPC, data science, and cyberinfrastructure. The role spans bioinformatics, GIS, data analytics and computational chemistry to design and implement scalable tools and workflows.

You will conduct research, develop data algorithms, perform analyses, and provide operation and support for HPC resources, collaborating with researchers and IT leadership to map needs to robust, reusable