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San Diego, CA 92093, United States 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

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 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, education, 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.

MINIMUM QUALIFICATIONS

• Nine (9) years of related experience, education/training, OR a Bachelor's degree in related area plus five(5)or more years of relevant experience.
• 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 knowledge of cloud and highly complex multi-institutional data science and software implementation studies.
• Demonstrated ability to regularly, effectively communicate with unit-level management.
• 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. Experience in working with a multi-center team of clinical and hospital IT experts to deploy highly advanced clinical decision support systems involving artificial intelligence.
• 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.
• Demonstrated advanced experience working with Python, TensorFlow, PyTorch, Matlab. Must have experience with real-time implementation of artificial Intelligence clinical decision support systems and health care data exchange protocols.
• 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.
• Demonstrated ability to initiate research proposals and acquire funding.

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 Transparency Act

Annual Full Pay Range: Unclassified - No data available (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: Unclassified - No data available

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).

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.

If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable.

UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational — or "bench-to-bedside" — research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team!

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The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti\-Discrimination

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UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening.

Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts an 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; or have filed an appeal of a finding of substantiated misconduct with a previous employer.

a. "Misconduct" means any violation of the policies governing employee conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, 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

Job Details

Date Posted 08/19/2026