CMPTL & DATA SCI RSH SPEC 3 RP

Responsibilities

• 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.
• 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.
• Develops, implements, and maintains data management systems and processing pipelines for MRI, fMRI, and DTI modalities.
• 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.
• 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.
• Participates and contributes to HPC / data science / CI research proposals in collaboration with other researchers and Principal Investigator (PI) s from the organization.
• Provides technical consultation and or assistance in the development of neuroimaging techniques for researchers.
• Writes articles for publication and grant proposals for acquiring funding.
• Provides technical leadership and product management for multi-institutional data science software projects.

Qualifications

• Required: 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.
• 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.
• Proven ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators.