Job ID: 46441BR
Job date: 2017-01-26
End Date:
Company : University of California Country : Role : Research Scientist
Job date: 2017-01-26
End Date:
Company : University of California Country : Role : Research Scientist
Job Description:
The Data Scientist 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. The Data Scientist applies skills as a seasoned, experienced Information Technology (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. Required Qualifications: • Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization and three to five years relevant experience and/or equivalent experience. • Intermediate knowledge of HPC / data science / CI . • 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. • 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 . • 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. • Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles. • 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 ability to regularly interface with management. • 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. • Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. • Proven ability to successfully work on multiple concurrent projects. Preferred Qualifications: • Demonstrated ability to contribute research and technical content to grant proposals
Additional Info:
PATHOLOGY : The Department of Pathology at UCSF aims to achieve the highest standards in patient care, research and education. The Department provides diagnostic pathology services in a wide variety of subspecialties with highly trained subspecialists who are recognized nationally and internationally for their expertise. The Department’s research programs are diverse and interface with a wealth of basic and translational research programs that are a hallmark of UCSF. Our educational programs include a research-intensive academic residency program and fellowships in cytopathology, Dermatopathology, gastrointestinal and liver pathology, gynecologic pathology, neuropathology and surgical pathology. ABOUT UCSF : The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. Note: Fingerprinting and background check required. Equal Employment Opportunity: The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.[Click Here to Access the Original Job Post]
The Data Scientist 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. The Data Scientist applies skills as a seasoned, experienced Information Technology (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. Required Qualifications: • Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization and three to five years relevant experience and/or equivalent experience. • Intermediate knowledge of HPC / data science / CI . • 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. • 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 . • 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. • Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles. • 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 ability to regularly interface with management. • 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. • Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. • Proven ability to successfully work on multiple concurrent projects. Preferred Qualifications: • Demonstrated ability to contribute research and technical content to grant proposals
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Additional Info:
PATHOLOGY : The Department of Pathology at UCSF aims to achieve the highest standards in patient care, research and education. The Department provides diagnostic pathology services in a wide variety of subspecialties with highly trained subspecialists who are recognized nationally and internationally for their expertise. The Department’s research programs are diverse and interface with a wealth of basic and translational research programs that are a hallmark of UCSF. Our educational programs include a research-intensive academic residency program and fellowships in cytopathology, Dermatopathology, gastrointestinal and liver pathology, gynecologic pathology, neuropathology and surgical pathology. ABOUT UCSF : The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. Note: Fingerprinting and background check required. Equal Employment Opportunity: The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.[Click Here to Access the Original Job Post]