Data Scientist - Hybrid - 140926

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 qualifications and/or transferable skills for this job opening, we strongly encourage you to apply.

About the Role

The Department of Orthopaedic Surgery at UC San Diego School of Medicine is a diverse, high-performing department focused on patient care, research, education, and academia. Orthopaedic Surgery provides treatment for disorders of the musculoskeletal system, offering comprehensive and innovative services across specialties including 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 fellowships in hand and microvascular surgery, 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.

Responsibilities

• Applies advanced computational, computer science, data science, and CI software research and development principles to perform highly complex research, technology, and software development involving in-depth evaluation of variable factors impacting medium to large projects.
• 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, and 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 recommendation of new hardware and software technologies for advancing complex HPC, data science, and CI projects.
• May lead a team of research and technical staff.
• Works with a multi-center team of clinical and hospital IT experts to deploy highly advanced clinical decision support systems involving artificial intelligence.
• Assesses a broad spectrum of technical and research needs and demands, establishes priorities, delegates, and/or leads development of solutions.
• Optimizes, benchmarks, and models HPC performance and power; analyzes hardware, software, and applications for HPC/data/CI.
• Initiates research proposals and acquires funding.
• Performs other duties as needed to support ongoing scientific and operational objectives.

Requirements

• Nine (9) years of related experience, education/training, OR a Bachelor's degree in a related area plus five (5) or more years of relevant experience.
• Advanced knowledge of HPC/data science/CI.
• Highly advanced skills and demonstrated experience in one or more of the following: HPC hardware and software power and performance analysis, design, modification, implementation, and deployment of HPC, data science, or CI applications and tools of large-scale scope.
• Demonstrated knowledge of cloud and highly complex multi-institutional data science and software implementation studies.
• Ability to regularly and effectively communicate with unit-level management.
• 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 HPC, data science infrastructure and tools/software, and diverse domain science applications.
• In-depth ability to successfully work and/or lead multiple concurrent projects.
• Demonstrated research and technology project leadership and management skills.
• Experience with real-time implementation of artificial intelligence clinical decision support systems and healthcare data exchange protocols.
• Advanced experience with Python, TensorFlow, PyTorch, and Matlab.
• Advanced knowledge of cloud computing environments such as Amazon Web Services (AWS) and Google Cloud Platform (GCP), artificial intelligence system architecture design, and scalable and serverless computing.

Preferred Qualifications

• Demonstrated experience in grant submittals and/or publications.
• Master’s degree in Computer/Computational/Data Science, or Domain Sciences with computer/computational/data specialization.
• Five (5) or more years of relevant experience in big data analytics, predictive modeling, artificial intelligence, and healthcare.
• Doctorate degree in a related field.
• Experience in multisite clinical data harmonization.
• Demonstrated knowledge of common data fields in the area of musculoskeletal clinical care.

Special Conditions

• Employment is subject to a criminal background check.
• Overtime and weekends may be required.

Pay

$140,000 - $180,000 / Year

Schedule

Days, 8-Hour Shifts, Monday-Friday. This position will work a hybrid schedule which includes a combination of working both onsite at Campus and remote.