Cmptl and Data Sci Rsch Spec 4 - 134151

Reporting to the Executive Director of the Center for Microbione Innovation (CMI), the incumbent demonstrates diverse and extensive experience with microbiome computational methods, algorithm development, large dataset science, data science, CI software research and continuous integration software development engineering. The candidates have expert-level microbiome science knowledge, multi-omics data science experience, performs up to and including the most complex multidisciplinary analysis experience, technology and software development projects at the local, institution-wide and / or multi-institutional wide enterprise level software platforms. Represents organization at national and international meetings, conferences and committees. Considered research and technology expert in multiple aspects of HPC genomics and metabolomics fields of research.

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 directly 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

The incumbent will serve as the lead for a 3-year award with L'Oreal; ensuring achievement of milestones and goals. Additionally, this individual collaborates with CMI members (Principal Investigator, lab members, and CMI industry collaborators) to develop and deploy computational and data-driven solutions to address complex research questions and technological challenges. They also mentor and train junior staff in research and development principles and practices, as well as provide technical guidance and expertise to other researchers and projects. Furthermore, they keep up-to-date with emerging trends and new technologies in HPC and data science, and translate these insights into actionable changes to advance institutional research capabilities.

• Bachelor's degree in related area and / or equivalent experience /training required. Master's degree or PhD in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization preferred.

• Advanced knowledge of HPC / data science / CI. Advanced knowledge in computational and data science architectures, HTC/HPC architectures, and data science concepts and technologies including machine learning. Expert knowledge of information science topics including semantics, linked data, FAIR, FDOs, as well as related areas such as reproducibility.

• Highly 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 of large-scale scope.

• Demonstrated ability to regularly, effectively communicate with unit-level management. Demonstrated ability to establish relationships with collaborators and industry partners.

• Demonstrated ability to initiate research 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.

• In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles.

• Self-motivated and works independently and as part of a team.

• Advanced 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.

• In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills.

• In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs.

• Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, 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.

• Familiarity with a variety of disciplines ranging from core technical skills at the deepest level of HPC and middleware all the way through user experience design and creation.

• Must pass a background check.

If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.

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Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.

a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:

• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• Abusive Conduct in the Workplace