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Job 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. Department Description: In the Department of Psychiatry & Behavioral Sciences in the School of Medicine, the Neuroimaging Scientist will work closely with the Neuroimaging Technology Research Center (NTRC) scientific and technical directors, collaborating with a multidisciplinary team of experts. This team supports multiple projects aimed at enhancing our understanding and developing innovative treatment approaches for a range of neuropsychiatric conditions, from major depression to chronic pain. The Neuroimaging Scientist will bring expertise that will integrate neuroimaging data with behavioral and physiological monitoring, leveraging advanced neuromodulation technologies. DUTIES & ESSENTIAL JOB FUNCTIONS Identify the functions or tasks that employees in the job perform. The essential functions should state the purpose of the work and the results to be accomplished, rather than how the function is performed. Of the tasks listed, what percentage of time is devoted to each? The more time employees spend on a function, the more likely it is that the function is essential. Generally, include those functions that account for 10% or more of the work, i.e., key items that contribute significantly to the achievement of the job. The functions should add up to 100%.
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Essential Function (Yes/No) |
Key Responsibilities (To be completed by Supervisor) |
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30 |
Yes |
Plans, designs, develops, modifies, debugs, deploys and evaluates complex HPC (software and / or hardware) or data science or computational science or CI research software and technologies or combination thereof. Analyzes existing software, scientific codes, data science / analytics codes / algorithms, and HPC related hardware or works to formulate logic for new complex systems and devises complex algorithms. Performs complex analysis and tests / debugs complex software and hardware. Applies complex programming practices. May work with domain scientists where applicable to perform these responsibilities and uses domain science knowledge where relevant. Collaborates with faculty on a broad range of research problems and that builds software tools and frameworks to support computational and data science research for neuroimaging. Be able to construct from ground up data pre-processing pipelines for preparing raw data to be analyzed. |
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35 |
Yes |
Develops implements and executes complex software and hardware research and development plans. Performs complex HPC, computational and data modeling, performance and integration testing. Enhance existing methodologies and develop new techniques to improve the quality and efficiency of data collection and analysis. Develop, implement, and maintain data management systems and processing pipelines for MRI, fMRI, and DTI modalities. |
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5 |
Yes |
Benchmarks and analyzes current and future HPC research hardware or HPC scientific codes, or data science / analytics codes / algorithms or tests, optimizes and develops complex CI software. |
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10 |
Yes |
Documents usage modes, capabilities, characteristics and performance of research codes, research HPC systems (hardware and software) and CI tools / software. Publishes and presents, based on research and development work, results about CI tools, HPC systems, data science techniques and tools, performance and algorithm enhancement in research venues to attract usage from domain science communities, or to promote latest technologies within the community. |
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5 |
No |
Participates and contributes to HPC / data science / CI research proposals in collaboration with other researchers and Principal Investigator (PI) s from the organization. |
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15 |
Yes |
Understands and applies complex research and development practices, community standards and department policies and procedures relating to work assignments. Interacts with senior level internal personnel. May serve as technical lead for a research and development project of moderate scope. Has the ability to negotiate research and development project plans with interested collaborators, stakeholders and users as applicable. Provide technical consultation and or assistance in the development of neuroimaging techniques for researchers. This includes but is not limited to parallelization of existing software tools developed by self and other researches. Write articles for publication and grant proposals for acquiring funding. Provide technical leadership and product management for multi-institutional data science software projects |
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100% |
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(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.) |
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Required Qualifications:
Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience Minimum of 3 years of related experience 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
Required Qualifications:
Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience Minimum of 3 years of related experience 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
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University of California - San Francisco
127200-159000
Jun 17, 2026