Data Systems Analyst 2 - 137884
UC San Diego
9500 Gilman Drive, San Diego, CA 92093, United States
#137884 Data Systems Analyst 2
Filing Deadline: Tue 1/20/2026UC 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 01/07/2026 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.
DESCRIPTION
The Department of Medicine (DOM) is the largest department within the UC San Diego School of Medicine (SOM) and is responsible for fulfilling its teaching, research, and clinical missions. DOM employs approximately 500 salaried faculty, nearly 200 academic appointees, and more than 300 residents, fellows, and postdocs, supported by almost 1,000 staff members.
UC San Diego Stein Institute for Research on Aging and Center for Healthy Aging, which are dedicated to the development and application of the latest advances in biomedical & behavioral science knowledge to issues of successful, healthy aging and the prevention and reduction of the burden of disability and disease.
The Division of Geriatrics, Gerontology and Palliative Care aims to optimize the experience of aging and improve care for individuals with serious illness through excellence in clinical care, inspired teaching and transformative research. The Division is ranked 11th out of more than 1,500 national programs in U.S. News & World Report. It also leads the San Diego Alzheimer’s Disease Resource Center for Minority Aging Research (AD-RCMAR), a partnership between UCSD and SDSU, which aims to enhance the diversity of the aging research workforce by providing mentorship to scientists from underrepresented groups for careers in Alzheimer’s Disease and Related Disorders (ADRD) relevant research. Additionally, the AD-RCMAR fosters research aimed at understanding and addressing risk factors and developing interventions to reduce ADRD disparities and enhance healthy cognitive aging in diverse populations.
The position will manage research databases for large scale, complex, longitudinal clinical studies. The Geriatrics Data Systems Analyst is responsible for database development, curation, and management of complex and moderately complex data acquisition and analysis software supporting research activities of the Stein Institute for Research on Aging and the UCSD Center for Healthy Aging.
Uses solid knowledge in research methods, databases, data collection, data storage, data transfer, and data analysis to provide data management and data quality assurance. Continually re-evaluates technical needs for new developments to support evolving data management needs of research projects.
Assists with statistical analyses including preparation of analytical files with supporting documentation for specific research initiatives, preparation of logical data models, dimensional data models and schemas, and running preliminary analyses for researchers and presenting results.
Applies data / information management concepts, department / unit and campus / medical center / OP methodologies, policies and procedures to resolve a variety of data / information management issues. Works on data / information management problems of moderate scope and complexity where analyses of situations or data require a review of a variety of factors.
MINIMUM QUALIFICATIONS
Six years of related experience, education/training, OR an Bachelor’s degree in related area plus two years of related experience/training.
Experience with and knowledge in performing data management and planning of metadata acquisition for sets of unstructured data objects of actigraphy and bright light therapy recordings.
Ability to program Access databases using SQL and VBA.
Ability to build predictive models and machine learning algorithms to enhance decision-making processes.
Knowledge of data management systems, practices and standards.
Knowledge relating to logical data design, data warehouse design, data integration or the management of web content or other unstructured data.
Familiarity with important types of data models such as logical / relational models, dimensional models and document models.
Ability to prepare simple data models under guidance of more senior professionals.
Intermediate knowledge of relevant rules and regulations.
Demonstrated ability to work with others from diverse backgrounds.
Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.
Self-motivated and works independently and as part of a team.
Demonstrated problem-solving skills. Able to learn effectively and meet deadlines.
Demonstrated service orientation skills.
Strong organizational skills.
Strong analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems.
Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail.
SPECIAL CONDITIONS
- Employment is subject to a criminal background check.
Pay Transparency Act
Annual Full Pay Range: $71,600 - $127,400 (will be prorated if the appointment percentage is less than 100%)
Hourly Equivalent: $34.29 - $61.02
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.
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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