Sr. Applied AI Data Scientist - JCHI - 138985

Payroll Title

CMPTL AND DATA SCI RSCH SPEC 4

Department

INFORMATION SERVICES

Hiring Pay Scale

$115,900 - $175,100 / Year

Worksite

Towne Centre Drive

Appointment Type

Career

Appointment Percent

100%

Union

Uncovered

Total Openings

1

Work Schedule

Days, 8-Hour Shifts, Monday-Friday

#138985 Sr. Applied AI Data Scientist - JCHI

Filing Deadline: Mon 4/27/2026

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

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 Senior 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 is responsible for 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 advanced statistical and machine learning methods, causal inference, and experimental design to ensure models not only predict outcomes but drive measurable impact through real-world interventions.

The position operates within a multidisciplinary environment that includes cloud engineers, product managers, AI/automation engineers, application developers, architects, and enterprise platform teams. The Senior Data Scientist owns technical execution across the model lifecycle while partnering closely with product managers who drive 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 is a senior technical role that requires the ability to independently lead complex data science projects, mentor junior team members, and contribute to the strategic direction of the data science program. The role involves close collaboration with clinical and operational stakeholders to identify high-impact use cases, translate clinical questions into data science problems, and deliver AI solutions that create sustained value across the health system. This includes working across diverse data modalities (e.g., structured EHR data, time-series, imaging, and unstructured text) and leveraging state-of-the-art approaches, including predictive, generative, and hybrid models.

What We’re Looking For

The ideal candidate brings deep experience across the full AI model lifecycle in healthcare or complex enterprise environments, with demonstrated ability to independently lead projects from data exploration through production deployment and ongoing monitoring. Experience with healthcare EHR data, particularly Epic, is essential, and candidates should be comfortable working with complex, multimodal clin