Senior Data Scientist & AI Engineer - Medicine - 140339

Payroll Title:
BUS INTEL SPEC 3 Department:
MEDICINE/Administration Hiring Pay Scale
$88,000 - $135,000 / Year Worksite:
Campus Appointment Type:
Career Appointment Percent:
100% Union:
Uncovered Total Openings:
1 Work Schedule:
Days, 8-Hour Shifts, Monday-Friday

#140339 Senior Data Scientist & AI Engineer - Medicine
Filing Deadline: Wed 7/15/2026
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.

UCSD Layoff from Career Appointment : Apply by 07/07/2026 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 on Campus and remote.

DESCRIPTION

The Department of Medicine is the largest department within the UC San Diego School of Medicine, supporting the institution's academic, clinical, educational, and research missions. It encompasses 23 actively managed financial units spanning central administration, a medical residency program, self-supported operating activities, and medical specialties. The Department of Medicine Business Office provides comprehensive financial, operational, and data-driven support for this large and complex enterprise. The team includes financial analysts and accountants, financial support personnel, and data science professionals. Together, they oversee more than $200M in annual financial activity across the Department's non-research activities, the entire Medicine internal control portfolio, and medical personnel operational performance.

Reporting to the Senior Director of Business Intelligence, this position serves as a skilled data science, artificial intelligence, machine learning, and database and cloud infrastructure professional responsible for transforming complex financial and operational datasets into actionable insights that drive organizational performance and decision-making. The role requires resolving highly complex problems through advanced modeling, algorithm development, and in-depth analysis of variable data factors, and developing innovative, data-driven solutions that support operational efficiencies, financial accuracy, and strategic planning. This position will design, develop, deploy, and provide for ongoing administration of machine learning systems and large language model infrastructure; engineer and maintain SQL Server and cloud-based database environments; and develop automated algorithms and AI-driven analytical workflows to support financial integrity, data quality assurance, and plain-language analysis of departmental financial and operational data for technical and non-technical stakeholders. Applies skills and experience as an independent contributor and collaborative team partner to projects of medium size at all levels of complexity, or to portions of large, multidimensional projects.

MINIMUM QUALIFICATIONS

• Seven years of related experience, education/training, OR a Bachelor's degree in related area (data or computer science, statistics, business analytics, accounting, finance) plus three years of related experience/training.
• Thorough knowledge of business intelligence functions, analytics, industry standards and best practices. Includes in-depth knowledge of machine learning methodologies, large language model (LLM) architecture, and AI-driven analytical system development, encompassing model training and validation, performance evaluation, bias detection, and iterative improvement practices as applied to financial and operational information.
• Thorough knowledge of relevant internal databases, BI applications and tools. Ability to produce high-quality reports and documentation. Includes advanced skill in SQL Server database administration, query optimization, data import/export pipeline design, and cloud-based data platform management. Demonstrated ability to design, maintain, and optimize scalable data environments that support BI and AI workloads. Skilled in the use of spreadsheet and database software, such as advanced functionality in Microsoft Excel, including the utilization of PowerQuery and external data connections.
• Strong critical thinking and problem-solving skills to manage complex information, assess problems, and develop and effective solutions. Includes the demonstrated ability to independently manage, with limited direction and oversight, complex and multidimensional data science projects, applying advanced critical thinking to the development and validation of machine learning models, automated auditing algorithms, and AI-generated analytical outputs, with particular attention to successful attainment of department goals.
• Detail oriented, with ability to manage time and organize competing priorities. Includes the ability to independently manage the full lifecycle of business intelligence, data science, and AI projects while balancing multiple concurrent analytical responsibilities in an environment of dynamic priorities.
• Strong written and verbal communication skills with the ability to convey complex information in a clear, concise manner. Includes the ability to translate highly technical AI, machine learning, and data science concepts and analytical results into plain-language summaries, reports, and presentations, for non-technical stakeholders.
• Strong interpersonal skills for effective collaboration with a broad range of professional and technical staff. Includes the ability to act as a positive and contributing team member with a strong professional commitment to cultivating collaborative relationships with personnel of diverse backgrounds, levels, and responsibilities, and to providing staff mentorship that sustains a climate of trust and shared purpose.
• Proven ability to serve as a technical resource providing advice and counsel on business intelligence issues. Includes the ability to provide technical leadership on data and AI infrastructure, machine learning model selection and evaluation, LLM development and deployment, and data governance practices.
• Advanced proficiency in Python and SQL for data engineering, statistical modeling, machine learning development, and automated workflow construction, including advanced skill in SQL Server administration, query optimization, index management, and data pipeline design and maintenance.
• Demonstrated ability to write, test, and maintain production-quality code supporting BI, AI, and data science operations with appropriate version control. Experience with programming languages and tools such as Python, T-SQL, R, M-Code, Visual Basic for Applications, C++ / C#, Tableau, and SSMS, with a demonstrated aptitude and commitment to rapidly learning new technologies as needed to support business intelligence and analytical tasks and automation.

PREFERRED QUALIFICATIONS

• Master's degree in data science or a related area and/or equivalent experience/training.
• Knowledge of financial accounting principles, practices, systems, reporting techniques, and analysis of operational performance metrics.
• Knowledge of data governance, privacy regulations, and institutional compliance requirements as they apply to the design and deployment of data servers, AI/LLM systems, and automated analytical workflows.

SPECIAL CONDITIONS

• Employment is subject to a criminal background check.
• Occasional evenings and weekends may be required.
• Must be able to work various hours and locations based on business needs.

Pay Transparency Act

Annual Full Pay Range: $88,000 - $161,600 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $42.15 - $77.39

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).

Apply Now

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!

Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.

To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community .

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:

UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.

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