Computational and Data Science Research Specialist

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

Job Function Summary

Involves a hybrid of multiple computational / data / Cyberinfrastrcture (CI) dominated fields such as, but not limited to, bioinformatics, geological information services (GIS), data analytics, and computational chemistry. Applies computational, computer science, data science and cyber infrastructure (CI) research and development principles, with relevant domain science knowledge, to perform research and technology integration and development. Responsibilities include research, design, development, analysis, operation, and support of high performance computing (HPC) and data science research, software, tools and hardware resources. Develops data algorithms and performs computations, statistical analyses, interpretation and reporting of research. This specialty / function exists for those positions whose primary responsibility is to do research and use computational and data science technology as a tool to accomplish the research.

Job Description

006104

Job Function Summary

Involves a hybrid of multiple computational / data / Cyberinfrastrcture (CI) dominated fields such as, but not limited to, bioinformatics, geological information services (GIS), data analytics, and computational chemistry. Applies computational, computer science, data science and cyber infrastructure (CI) research and development principles, with relevant domain science knowledge, to perform research and technology integration and development. Responsibilities include research, design, development, analysis, operation, and support of high performance computing (HPC) and data science research, software, tools and hardware resources. Develops data algorithms and performs computations, statistical analyses, interpretation and reporting of research. This specialty / function exists for those positions whose primary responsibility is to do research and use computational and data science technology as a tool to accomplish the research.

Generic Scope

Experienced professional who knows how to apply theory and put it into practice with in-depth understanding of the professional field; independently performs the full range of responsibilities within the function; possesses broad job knowledge; analyzes problems / issues of diverse scope and determines solutions.

Custom Scope

Applies skills as a seasoned, experienced IT research professional. Uses computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium-sized projects or portions of larger projects. Develops and optimizes a variety of computational, data science, and CI research tools and components. Performs research on current and future HPC, data, and CI technologies, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either domain / computer science research requirements and / or CI design / implementation requirements.

Qualifications

Required Qualifications

• Intermediate knowledge of HPC / data science / CI.
• Advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools.
• Demonstrated ability to regularly interface with management.
• Demonstrated ability to contribute research and technical content to grant proposals.
• Demonstrated effective communication and interpersonal skills.
• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
• Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles.
• Self-motivated and works independently and as part of a team.
• Able to learn effectively and meet deadlines.
• Thorough experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.
• Proven ability to successfully work on multiple concurrent projects.
• Proven ability to understand research computing / data / CI needs, mapping use cases to requirements and how systems / software / infrastructure can support those needs and meet the requirements.
• Demonstrated ability to develop and implement such solutions.
• Demonstrated broad experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.
• Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators.