Research Data Analyst III - Medicine - Hybrid - 139980

UC San Diego; San Diego (CA); Hybrid; USD 45,000 - 70,000; Part time

Job summary

UC San Diego invites applications for a part-time biostatistician to support the MASLD Research Center within the Department of Medicine. The role emphasizes advanced statistical analyses and collaboration across MASLD studies.

The position features a hybrid schedule with onsite work in La Jolla and remote options, and requires expertise in R, SAS, and REDCap, with strong data management and methodological contribution expectations.

Qualifications

• Bachelor's degree or higher with strong statistics background.
• Experience in statistical analyses and data programming.
• Proficiency with R and SAS for analyses and reporting.
• Ability to communicate complex results clearly to researchers.

Responsibilities

• Perform multivariate analyses and modeling for MASLD studies.
• Develop data analysis plans and document methodologies.
• Collaborate with clinicians and researchers across projects.
• Manage data workflows and ensure data integrity in REDCap.

Skills

Statistical analysis

R

SAS

REDCap

Data management

Communication

Project management

Biostatistics

Education

MS in statistics

Tools

REDCap

Job description

This has been changed to a part-time 50% position as of 6/11/2026.

This position will work a hybrid schedule which includes a combination of working both onsite in La Jolla and remote.

Description

As the largest and oldest department within the UC San Diego School of Medicine, the Department of Medicine employs nearly 500 faculty members and 1,000 academic appointees, residents, fellows, postdocs, and staff, in pursuit of its academic, clinical, and research missions.

The Division of Gastroenterology and Hepatology in the Department of Medicine conducts research studies which study Metabolic dysfunction-associated steatohepatitis (MASH) and metabolic dysfunction-associated steatotic liver disease (MASLD) in adult patients. The MASLD Research Center focus on the etiology, contributing factors, natural history, complications, and therapy of MASH and MASLD. The MASLD Research Center participates in pharmaceutical clinical trials and Principal Investigator (PI) initiated studies which focus on the discovery and validation of innovative biomarkers for MASLD, with a special focus on identifying those patients at greatest risk for MASH, advanced liver fibrosis, and hepatocellular carcinoma (HCC).

Under general supervision, uses multiple statistical software packages to look for outliers and anomalies in the data. Writes and debugs code using several statistical software packages (ex: R and SAS and STATA). Designs, maintains and documents procedures, including methods and summary/conclusions. Interfaces between biostatisticians and all the data used for the analyses.

Uses skills as a seasoned, experienced research professional with a full understanding of in-depth statistical analyses and / or research software programming techniques. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Develops, plans and executes a wide range of statistical analyses including multi-variable, mathematical modeling, power and sample size calculations, mixed effect modeling of longitudinal data and non-parametric statistics related to MASLD Research Center.

Minimum Qualifications

• Seven years of related experience, education/training, OR a Bachelor's degree in related area plus three years of related experience/training.
• Thorough knowledge of research function.
• Thorough skills associated with statistical analysis and systems programming.
• Thorough skills in analysis and consultation.
• Skills to communicate complex information in a clear and concise manner both verbally and in writing.
• Skills in project management.
• Research skills at a level to evaluate alternate solutions and develop recommendations.
• Proficient in statistical analysis software.
• In-depth knowledge of REDCap and proficient in REDCap management.
• Proficient in data project management.

Preferred Qualifications

• MS or PhD in statistics.

Special Conditions

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

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).