| Location | Berkeley, CA |
| Salary | $37.57–$44.89 Per Hour |
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Research Data Analyst (8273C), School of Public Health - #88230
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Job ID
88230
Location
Main Campus-Berkeley
Full/Part Time
Full Time
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About Berkeley
At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom, and belonging makes it a special place for students, faculty, and staff, who are among the most talented and accomplished anywhere, including Nobel laureates, Pulitzer Prize winners, and MacArthur Fellows. Since our founding in 1868, we have been an engine for innovation - driving intellectual, economic, and social progress that benefits California, the U.S., and beyond. Together, we change the world.
At Berkeley, the best careers are built on a foundation of continuous learning and growth. We actively support professional development by providing all full-time staff employees with at least 80 hours of paid time per year and provide space for supportive colleague communities via numerous employee resource groups.
We invite applicants who are inspired by our Principles of Community and who are eager to be part of our exciting Strategic Plan, which charts Berkeley's next era of excellence.
Learn more about some of our accomplishments at Points of Pride.
Departmental Overview
At UC Berkeley School of Public Health (UCBPH), health equity and social justice are part of our DNA. For more than 75 years, we've been pushing boundaries and challenging the status quo. Established in 1943, we are a top-10 national school of public health located on the UC Berkeley campus, comprising six academic divisions, more than 20 graduate programs, and nearly 30 research centers and programs. Our mission is to improve population health, especially for the most vulnerable, and our most cherished values are health as a right; strength through diversity; thinking forward; and impact first. Learn more at: publichealth.berkeley.edu.
The Center for Targeted Machine Learning and Causal Inference (CTML) at UC Berkeley is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health and clinical medicine. CTML's mission statement is to drive rigorous, transparent, and reproducible science by harnessing cutting-edge causal inference and AI targeted towards robust discoveries, informed decision-making, and improving health.
Position Summary
The Research Data Analyst conducts statistical analyses in support of a domestic HIV prevention research program conducted at three study sites that includes randomized trials and related observational studies. Working under the direction of the lead study statistician, this position implements pre-specified statistical analysis plans in R, contributes analytic content to the drafting of those plans, and prepares tables, figures, and summary reports for study monitoring, manuscripts, and presentations. The Research Data Analyst works routinely with site data managers and study staff at the three sites on data deliveries and analytic requests, exercising judgment within established practices on assignments of moderate scope and complexity.
Application Review Date
The First Review Date for this job is: August 28, 2026. For full consideration, please apply on or before the first review date.
Responsibilities
Statistical Analysis - 40%
Analytic Dataset Construction - 20%
Analysis Plans and Analytic Documentation - 20%
Reporting, Publication, and Presentation Support - 5%
Site Coordination and Data Requests - 5%
Professional Development - 5%
Other Duties - 5%
Required Qualifications
Education / Training
Salary & Benefits
For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.
Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.
The budgeted hourly range that the University reasonably expects to pay for this position is $37.57/hr - $44.89/hr.
How to Apply
To apply, please submit your resume and cover letter.
Other Information
Misconduct
As a condition of employment, the final candidate who accepts a conditional 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; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.
"Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, 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
Equal Employment Opportunity
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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