Data Scientist - Hybrid - 140926

Payroll Title: CMPTL & DATA SCI RSH SPEC 4 RP Department: Orthopaedic Hiring Pay Scale $140,000 - $180,000 / Year Worksite: Other Appointment Type: Career Appointment Percent: 100% Union: RP Contract Total Openings: 1 Work Schedule: Days, 8-Hour Shifts, Monday-Friday #140926 Data Scientist - Hybrid Filing Deadline: Wed 9/2/2026 Apply Now UC San Diego values and welcomes people from all backgrounds. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the

and/or transferable skills for a job opening, we strongly encourage you to apply. UCSD Layoff from Career Appointment: Apply by 8/24/2026 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Reassignment Applicants: Eligible Reassignment clients should contact their Disability Counselor for assistance. This position will work a hybrid schedule which includes a combination of working both onsite at Campus and remote. DESCRIPTION The Department of Orthopaedic Surgery at UC San Diego School of Medicine is a diverse patient, research,

, and academia focused, high-performing Department with a commitment to quality, collaboration, innovation, and continuous improvement. Orthopaedic Surgery provides treatment for disorders of the musculoskeletal system, offering comprehensive and innovative services. The Department offers a full spectrum of musculoskeletal clinical care, specializing in foot and ankle, hand and microvascular surgery, joint reconstruction, physical medicine and rehabilitation, spine, sports medicine, orthopaedic oncology, and trauma. Research expertise includes advancements in muscle metabolism and physiology, neuromuscular bioengineering, intervertebral disc, and musculoskeletal physiology and epidemiology. The Department supports an ACGME accredited residency program and fellowship in hand and microvascular surgery, as well as fellowship programs in joint reconstruction, spine, and trauma. Under the general direction of the Principal Investigator (PI), this position provides advanced research, computational, and systems support for spine-focused orthopedic studies. The incumbent leads the design and optimization of data science tools, computational models, and large-scale data infrastructure that enable high-impact research on biologic, physiologic, clinical, and economic health outcomes related to spine conditions. This role applies deep expertise in computer science, data science, and distributed computing to build and maintain complex storage, networking, and high-performance computing (HPC) environments that support multidisciplinary research teams. The position also contributes to major system implementations, resolves advanced technical issues, and may provide guidance to research and technical staff, ensuring the reliability, security, and scalability of critical research systems. Other duties are performed as needed to support ongoing scientific and operational objectives. 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 in diverse research application areas. 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. May lead a team of research and technical staff.