Applied AI Data Scientist - JCHI

Towne Centre Drive

San Diego, CA 92093, United States

Payroll Title:

CMPTL AND DATA SCI RSCH SPEC 3

Department:

INFORMATION SERVICES

Hiring Pay Scale

$98,000 - $139,600 / Year

Worksite:

Towne Centre Drive

Appointment Type:

Career

Appointment Percent:

100%

Union:

Uncovered

Total Openings:

1

Work Schedule:

Days, 8-Hour Shifts, Monday-Friday

#138983 Applied AI Data Scientist - JCHI

Filing Deadline: Mon 4/27/2026

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 04/15/26 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 has the option of working a hybrid (preferred) or remote schedule.

DESCRIPTION

UC San Diego Health is on a journey to build and mature enterprise applied artificial intelligence capabilities that deliver meaningful, measurable impact at scale across the health system. This work reflects a sustained organizational commitment to developing these capabilities as a core part of how care is delivered and supported. The purpose of UCSDH’s applied AI efforts is grounded in the quadruple aim, using AI-enabled technologies to simultaneously expand access to care, improve clinical and operational outcomes, enhance quality and safety, and support a better experience for both patients and care teams. A key focus is leveraging real-time data, predictive, generative, and hybrid models, and increasingly automated interventions to demonstrably achieve impact at scale across the health system.

Central to this strategy is the Mission Control vision, which brings together real-time data and applied AI–driven decision support to provide system-wide insight and action across the care continuum, including population health. This initiative serves both as a delivery layer for targeted point solutions across the health system and as a centralized hub for system-level assessment, prediction, and coordinated action. The supporting technology landscape is intentionally dynamic, with an emphasis on identifying best-fit solutions over time while scaling a cohesive enterprise platform that integrates complementary tools and capabilities.

This position operates within the Jacobs Center for Health Innovation and is integrated into UC San Diego Health Information Services, sharing leadership, data, and infrastructure, while driving translational innovation and supporting enterprise operations at scale.

Position and Team:

UC San Diego Health is seeking a Data Scientist to work within the Joan & Irwin Jacobs Center for Health Innovation (JCHI) on all phases of AI model design and development. The role contributes to the full model lifecycle, including intake and review, data preparation, model development, evaluation, pre-deployment preparation, deployment, and post-deployment model monitoring and management. This includes applying statistical and machine learning methods, along with elements of experimental design and evaluation, to support models that drive measurable impact through real-world interventions.

The position operates within a multidisciplinary environment that includes cloud engineers, product managers, AI engineers, application developers, architects, and enterprise platform teams. The Data Scientist partners with senior data scientists and product managers to execute across the model lifecycle, contributing to technical development while supporting product strategy, prioritization, and stakeholder alignment. The position reports to the JCHI Co-Director, who provides functional leadership for data science and AI initiatives and works across JCHI and Information Services stakeholders to align priorities, capabilities, and delivery.

This role requires the ability to independently execute defined components of data science projects while contributing to larger, more complex initiatives. The role involves collaboration with clinical and operational stakeholders to help translate clinical questions into data science problems and deliver AI solutions that create value across the health system. This includes working with diverse data modalities (e.g., structured EHR data, time-series, and unstructured text) and applying established approaches, including predictive and generative models.

What We’re Looking For:

The ideal candidate brings experience across the AI model lifecycle in healthcare or complex enterprise environments, with the ability to execute projects from data exploration through deployment and monitoring with appropriate guidance. Experience with healthcare EHR data, particularly Epic, is preferred, and candidates sh