Cmptl and Data Sci Rsch Spec 3 - 129329

UCSD Layoff from Career Appointment: Apply by 4/19/24 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.

Special Selection Applicants: Apply by 4/24/24. Eligible Special Selection clients should contact their Disability Counselor for assistance.

Reporting to the Executive Director for the Center for Microbiome Innovation (CMI), the incumbent applies skills as a seasoned, experienced IT research professional. Uses computational, computer science, data science, and continuous integration (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. Engages with stakeholders across the organization to carry projects from conception to execution, including system architecture and tasking for other developers. Develops and optimizes a variety of computational, data science, and CI research tools and components. Performs research on current and future high-performance computing (HPC), data, and CI technologies, from a software perspective. Interfaces with system administrator(s) to plan and allocate hardware needs. Works on algorithm development, optimization, programming, performance analysis and/or benchmarking assignments of moderate scope where the tasks involve knowledge of domain/computer science research requirements and/or CI design and implementation requirements.

The incumbent must ensure the smooth operation and effectiveness of various aspects related to data management, sample processing, and communication within CMI. This includes maintenance and administration of database repositories by ensuring the integrity, security, and optimal performance of the organization's databases. Tasks include database schema design, data migration, data backup and recovery, performance tuning, and implementing access controls to safeguard sensitive information. Sample processing status pipelines by managing the workflows and pipelines that track the progress of sample processing from collection to analysis. This includes designing, implementing, and optimizing automated processes to ensure efficient sample tracking, status updates, and data synchronization across different stages of processing.

Handling shipping and logistics APIs which involves managing the integration with shipping and logistics APIs to facilitate the smooth and timely transportation of samples between different locations. Including developing, testing, and maintaining API endpoints for seamless communication with shipping carriers and logistics partners. Digital participant report generation that involves designing and developing automated systems for generating participant reports based on collected data. This may include creating templates, integrating with data sources, and implementing algorithms for data analysis and visualization to generate informative and actionable reports for participants. The incumbent is also responsible for sample ascensioning digital interfaces such as managing the digital interfaces used for sample ascensioning, which is the process of assigning unique identifiers and metadata to samples upon their entry into the system. This includes developing user-friendly interfaces, ensuring data accuracy during ascensioning, and integrating with other systems for data exchange. As well as quality assurance and testing that encompasses all aspects of ensuring the quality, reliability, and performance of the software architecture such as developing and executing test plans, conducting regression testing, identifying and documenting defects, and collaborating with developers to address issues and improve software quality.

This position is responsible for coordination with CMI Directors and external collaborators such as synergizing task actions and communicating updates with various stakeholders within the organization, as well as directors of research, communications, and the executive director. This also includes collaborating with external collaborators such as partner institutions, researchers, and sponsors to align activities and achieve common goals. Represent the CMI organization with external sponsors, including funding agencies, industry partners, and other organizations supporting research initiatives. This may involve presenting project updates, discussing requirements, addressing concerns, and fostering positive relationships to support ongoing research efforts. Overall, the role requires a combination of technical expertise in database management, software development, and data analysis, as well as strong communication and coordination skills to effectively collaborate with internal and external stakeholders.

~ Cover letter required for a complete application.

• Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent 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

• Strong observational skills, attention to detail, and ability to work in fast paced environments while maintaining attention to detail.

• Proven skills in using and developing visualization software and tools.

• Proven ability to develop scripts in scientific programming using Java, C, C++, Perl and Python.

• Demonstrated experience in extending one or more of the following: content management systems, data management systems, and job distribution systems.

• Experience with Linux shell programming.

• Must pass a background check.

• Cover letter required for a complete application.

Pay Transparency Act

Annual Full Pay Range: $82,500 - $151,500 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $39.51 - $72.56

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).

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