Computational and Data Science Research Specialist (6027U), Research Information Technology - 51727 Job at University of California Berkeley
Computational and Data Science Research Specialist (6027U), Research Information Technology - 51727 About Berkeley
At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.
The University of California, Berkeley, is one of the world's leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world.
We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners. In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our Guiding Values and Principles , our Principles of Community , and our Strategic Plan .
At UC Berkeley, we believe that learning is a fundamental part of working, and our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. To find out more about how you can grow your career at UC Berkeley, visit grow.berkeley.edu .
Departmental Overview
Research Information Technology partners with campus and LBNL domain experts and information technology professionals, and with campus centers of excellence, to support research across the range of academic research domains on the UC Berkeley campus. Research IT provides research computing services, data management and lifecycle consulting, and acts as a hub and integrator to ensure campus researchers effectively leverage IT in support of their research. Our campus partners include the Library, central IT, the Social Science D-Lab, the Berkeley Institute for Data Science (BIDS), the RISE Lab (EECS), and many others. Research IT is a part of the campus Research, Teaching, and Learning unit, with a close relationship to the offices of the CIO and the Vice Chancellor for Research.
Application Review Date
The First Review Date for this job is: April 21, 2023
Responsibilities
Performs Research IT HPC (Savio and SRDC Clusters)/data/CI research and development planning, design, and deployment tasks using the most complex and advanced HPC (software and/or hardware) or data science or computational science or CI software and technologies or a combination thereof. Analyzes the most complex and advanced software, scientific codes, data science/analytics codes/algorithms, and HPC related hardware or works to develop new solutions with broad, multi-institutional, or global impact. Leads multiple large and complex research projects with multi-institutional scope in HPC/data/CI areas. This may involve collaboration with domain science experts at Berkeley and other UC campuses. On behalf of Research IT and its partners Directs, develops, and executes highly complex software and hardware research and development plans including collaborations across multiple campuses such as in the Computational Precision Health joint degree program with UCSF. Directs highly complex HPC, computational and data modeling, performance, and integration testing. Works with leaders in research communities to strategize and plan for future research and development of computational and data analysis/analytics software/tools/algorithms with broad applicability. Directs and leads benchmarking, profiling, analysis of HPC hardware or scientific codes, or data science/analytics codes/algorithms or tests, optimizes and develops complex CI software. Develops strategies and future project plans based on the results of profiling, benchmarking, and optimizations. Proposes research-based, new, and novel usage modes and capabilities for the most complex and advanced HPC/data science/CI/domain science software and tools including the introduction of container-based methods of computation in the Savio and SRDC Virtual Machine environments. Represents the organization at national and international conferences and committees. Develops and Leads innovative, high-impact HPC, data science, and advanced CI research proposals involving institutional and multi-institutional efforts on a national scale. Leads large-scale proposals as a PI or co-PI. Independently determines research and development projects related methods and procedures. May lead a team of technical and research staff. Interacts with the highest levels of internal as well as external personnel for research collaboration. Overall responsibility for research and technology projects.
Required Qualifications
Expert knowledge of HPC/data science/CI. Expert 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 diverse and complex HPC or data science or CI applications and tools of campuswide / multi-institutional scope. Demonstrated ability to effectively communicate with executive-level management on a regular basis as well as funding agency program managers/directors.
Education/Training:
Bachelor's degree in related area and/or equivalent experience/training.
Preferred Qualifications
Demonstrated ability to develop and lead one or multi-institutional national-scale proposals and acquire funding. 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 as well as senior research, academic and government officials. Expert skills and experience in independently resolving highly complex computing/data/CI problems using introductory and/or intermediate principles. Self-motivated and works independently and as part of a team. Expert 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. Expert ability to successfully lead and manage multiple concurrent projects. Excellent research and technology project leadership and management skills. Expert ability to independently plan, guide and execute innovative scientific research programs and development projects to completion by selecting approaches, and interpreting and evaluating results with researchers, staff and colleagues, and supervisors. Demonstrated expert experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, and analyzing hardware, software, and applications for HPC / data / CI. Proven ability to establish realistic research priorities and lead, motivate, and guide colleagues and staff for a sustained effort.
Education/Training:
Master's degree or Ph.D. in Computer/Computational/Data Science, or Domain Sciences with computer/computational/data specialization and/or equivalent experience/training.
Salary & Benefits
For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.
Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.
The budgeted salary or hourly range that the University reasonably expects to pay for this position is $175,000.00 - $190,000.00 FTE.
This is a 24-month, 51% part-time (20.4 hours per week), contract position that is eligible for UC benefits with the possibility of extension. This position is exempt and paid monthly. This is a remote-friendly position, eligible for 100% remote capability.
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At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.
The University of California, Berkeley, is one of the world's leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world.
We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners. In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our Guiding Values and Principles , our Principles of Community , and our Strategic Plan .
At UC Berkeley, we believe that learning is a fundamental part of working, and our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. To find out more about how you can grow your career at UC Berkeley, visit grow.berkeley.edu .
Departmental Overview
Research Information Technology partners with campus and LBNL domain experts and information technology professionals, and with campus centers of excellence, to support research across the range of academic research domains on the UC Berkeley campus. Research IT provides research computing services, data management and lifecycle consulting, and acts as a hub and integrator to ensure campus researchers effectively leverage IT in support of their research. Our campus partners include the Library, central IT, the Social Science D-Lab, the Berkeley Institute for Data Science (BIDS), the RISE Lab (EECS), and many others. Research IT is a part of the campus Research, Teaching, and Learning unit, with a close relationship to the offices of the CIO and the Vice Chancellor for Research.
Application Review Date
The First Review Date for this job is: April 21, 2023
Responsibilities
Performs Research IT HPC (Savio and SRDC Clusters)/data/CI research and development planning, design, and deployment tasks using the most complex and advanced HPC (software and/or hardware) or data science or computational science or CI software and technologies or a combination thereof. Analyzes the most complex and advanced software, scientific codes, data science/analytics codes/algorithms, and HPC related hardware or works to develop new solutions with broad, multi-institutional, or global impact. Leads multiple large and complex research projects with multi-institutional scope in HPC/data/CI areas. This may involve collaboration with domain science experts at Berkeley and other UC campuses. On behalf of Research IT and its partners Directs, develops, and executes highly complex software and hardware research and development plans including collaborations across multiple campuses such as in the Computational Precision Health joint degree program with UCSF. Directs highly complex HPC, computational and data modeling, performance, and integration testing. Works with leaders in research communities to strategize and plan for future research and development of computational and data analysis/analytics software/tools/algorithms with broad applicability. Directs and leads benchmarking, profiling, analysis of HPC hardware or scientific codes, or data science/analytics codes/algorithms or tests, optimizes and develops complex CI software. Develops strategies and future project plans based on the results of profiling, benchmarking, and optimizations. Proposes research-based, new, and novel usage modes and capabilities for the most complex and advanced HPC/data science/CI/domain science software and tools including the introduction of container-based methods of computation in the Savio and SRDC Virtual Machine environments. Represents the organization at national and international conferences and committees. Develops and Leads innovative, high-impact HPC, data science, and advanced CI research proposals involving institutional and multi-institutional efforts on a national scale. Leads large-scale proposals as a PI or co-PI. Independently determines research and development projects related methods and procedures. May lead a team of technical and research staff. Interacts with the highest levels of internal as well as external personnel for research collaboration. Overall responsibility for research and technology projects.
Required Qualifications
Expert knowledge of HPC/data science/CI. Expert 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 diverse and complex HPC or data science or CI applications and tools of campuswide / multi-institutional scope. Demonstrated ability to effectively communicate with executive-level management on a regular basis as well as funding agency program managers/directors.
Education/Training:
Bachelor's degree in related area and/or equivalent experience/training.
Preferred Qualifications
Demonstrated ability to develop and lead one or multi-institutional national-scale proposals and acquire funding. 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 as well as senior research, academic and government officials. Expert skills and experience in independently resolving highly complex computing/data/CI problems using introductory and/or intermediate principles. Self-motivated and works independently and as part of a team. Expert 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. Expert ability to successfully lead and manage multiple concurrent projects. Excellent research and technology project leadership and management skills. Expert ability to independently plan, guide and execute innovative scientific research programs and development projects to completion by selecting approaches, and interpreting and evaluating results with researchers, staff and colleagues, and supervisors. Demonstrated expert experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, and analyzing hardware, software, and applications for HPC / data / CI. Proven ability to establish realistic research priorities and lead, motivate, and guide colleagues and staff for a sustained effort.
Education/Training:
Master's degree or Ph.D. in Computer/Computational/Data Science, or Domain Sciences with computer/computational/data specialization and/or equivalent experience/training.
Salary & Benefits
For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.
Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.
The budgeted salary or hourly range that the University reasonably expects to pay for this position is $175,000.00 - $190,000.00 FTE.
This is a 24-month, 51% part-time (20.4 hours per week), contract position that is eligible for UC benefits with the possibility of extension. This position is exempt and paid monthly. This is a remote-friendly position, eligible for 100% remote capability.
Please Note :
ajayjain.com is the go-to platform for job seekers looking for the best job postings from around the web. With a focus on quality, the platform guarantees that all job postings are from reliable sources and are up-to-date. It also offers a variety of tools to help users find the perfect job for them, such as searching by location and filtering by industry. Furthermore, ajayjain.com provides helpful resources like resume tips and career advice to give job seekers an edge in their search. With its commitment to quality and user-friendliness, Site.com is the ideal place to find your next job.