UCSD Layoff from Career Appointment: Apply by 02/02/2022 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 02/14/2022. Eligible Special Selection clients should contact their Disability Counselor for assistance.
The UCSD Department of Obstetrics, Gynecology, and Reproductive Sciences conducts clinical, translational, and basic research on a variety of developmental biology and reproductive and women's health areas. The Laurent group utilizes transdisciplinary approaches to understand the mechanisms underlying pregnancy complications and to discover biomarkers that can be used to predict and diagnose them.
Applies advanced computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, to perform highly complex research, technology and software development which involve in- depth evaluation of variable factors impacting medium to large projects of broad scope and complexities. Designs, develops, and optimizes components / tools for major HPC / data science / CI projects. Resolves complex research and technology development and integration issues. Gives technical presentations to associated research and technology groups and management. Evaluates new hardware and software technologies for advancing complex HPC, data science, CI projects. May represent the organization as part of a team at national and international meetings, conferences and committees. Assists in the design, implementation and recommends new hardware and software technologies for advancing complex HPC, data science, CI projects. Acts as a project manager and may lead a team of research and technical staff.
This position will focus on the analysis of whole genome, exome, transcriptome and epigenome datasets in the Laurent lab at UCSD. The incumbent will collaborate with investigators at UCSD and other institutions, including the San Diego Zoo Wildlife Alliance, by performing analysis of multi-omic data, including RNA-seq, ChIP-seq, ATAC-seq, and DNA methylation data. The incumbent is responsible for managing projects and performing analysis of next generation sequencing datasets, biological interpretation of analysis results, interfacing with faculty and investigators, performing outreach and educational activities, and developing and implementing data analysis methods using cloud computing and high performance computing.
Nine (9) years of related experience, education/training, OR an Bachelor's degree in related area plus five (5) years of related experience/training.
Advanced knowledge of HPC / data science / CI.
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 initiate research proposals and acquire funding.
Proven 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.
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.
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.
Expert knowledge and research experience with NGS data analysis in the areas of genome analysis, transcriptomics and/or epigenomics.
Master's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization preferred.
Ph.D. degree in Biology / Bioinformatics / Computer Science or related field preferred.
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 8 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom - life is their laboratory. UC San Diego's rich academic portfolio includes six undergraduate colleges, five academic divisions and five graduate and professional schools. The university's award-winning scholars are experts at the forefront of their fields with an impressive track record for achieving scientific, medical and technological breakthroughs.