Data Analyst

University of California San Francisco

$80K — $100K *
Hospitals & Medical Centers
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer, Data Science, or related field with 3 years of relevant experience.
  • Proficiency in R, SAS, Stata, or similar statistical software.
  • Familiarity with statistical methods in clinical research.
  • Experience in data cleaning, validation, and quality assurance.
  • Ability to prepare professional-quality publication materials.
  • Knowledge of Good Clinical Practice (GCP) and IRB standards.
  • Strong analytical and communication skills.

Responsibilities

  • Design and manage clinical research databases (e.g., REDCap) ensuring data integrity and security.
  • Conduct statistical analyses and generate publication-ready tables and figures.
  • Collaborate with investigators on research findings and contribute to manuscript development.
  • Assist with IRB submissions and maintain regulatory compliance in study documentation.
  • Coordinate participant scheduling and follow-up, ensuring adherence to study protocols.

Benefits

  • Health, dental, and vision insurance offerings.
  • Retirement plans with employer contributions.
  • Access to professional development and training opportunities.
  • Generous paid time off and holiday schedule.
  • Support for work-life balance initiatives.
Full Job Description
Job Description

Job Summary:

The Data Analyst will support multiple investigator-initiated clinical research studies in ophthalmology by performing data management, statistical analyses, and preparation of tables, figures, and manuscripts for publication. Responsibilities include maintaining research databases (e.g., REDCap), ensuring data quality and integrity, conducting statistical analyses using software such as R, SAS, or Stata, and assisting with grant applications, abstracts, and scientific manuscripts. The position will also provide support including assisting with IRB submissions and continuing reviews, coordinating study documentation, maintaining regulatory files, supporting participant scheduling and follow-up, and working closely with investigators and study teams to ensure compliance with study protocols and regulatory requirements. The ideal candidate will have strong quantitative and organizational skills, experience with clinical research, and the ability to work independently while collaborating effectively with a multidisciplinary research team.

Responsibilities

Key Responsibilities

List key functions and the estimated percentage of time spent performing each of the responsibilities. Indicate which responsibilities are considered "Essential" to the successful performance of the job as defined by the EEOC: "Essential functions are the basic job duties that an employee must be able to perform. You should carefully examine each job to determine which functions or tasks are essential to performance."

Example:

25% Essential Performs basic design, development, modification and debugging of software. Evaluates basic software for functional areas. Analyzes existing software or works to formulate logic for basic systems, prepares basic specifications and performs coding.

of time

Essential Function (Yes/No)

Key Responsibilities

(To be completed by Supervisor)

45%
YesDesigns, maintains, and manages clinical research databases (e.g., REDCap); performs data validation, cleaning, quality assurance, and ensuring data integrity and security.
25%
YesConducts statistical analyses using R, SAS, Stata, or similar software; prepares tables, figures, reports, and data summaries for manuscripts, presentations, and grant applications.
15%
YesCollaborates with investigators to interpret research findings; contributes to manuscript preparation, scientific abstracts, and grant proposals.
10%
YesProvides Clinical Research Coordinator support, including assisting with IRB submissions, continuing reviews, regulatory documentation, participant tracking, and study coordination activities.
5%
YesParticipates in research meetings, develops standard operating procedures, maintains study documentation, and ensures compliance with UCSF, IRB, HIPAA, and sponsor requirements.
100%
(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)

Qualifications

Required Qualifications:
  • Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization and minimum three years of experience[SS2.1] or equivalent experience.
  • Proficiency with R, SAS, Stata, or equivalent statistical software
  • Knowledge of statistical methods used in clinical or biomedical research
  • Experience in performing data cleaning, validation, and quality assurance
  • Ability to prepare publication-quality tables, figures, and reports
  • Knowledge of Good Clinical Practice (GCP), IRB requirements, and human subject research
  • Strong analytical, organizational, and communication skills
  • Ability to manage multiple priorities and work independently and collaboratively


Salary Information

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

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