Senior Biostatistician
University of Southern California, Los Angeles, CA, United States
The Center for Economic and Social Research (CESR) at the University of Southern California is seeking a
full‑time Applied Biostatistician
to join our dynamic team. This role focuses on advanced statistical analyses for longitudinal studies in aging and dementia, supporting collaborative research, and contributing to high‑impact publications. The position is a grant‑funded, one‑year fixed‑term role with a hybrid work arrangement.
Key Responsibilities
Conduct data analysis using statistical programming with a focus on accuracy and reproducibility
Address missing data using imputation methods and other advanced statistical techniques
Apply theoretical knowledge and appropriate statistical tools to solve complex problems
Develop and implement statistical protocols for quality control
Summarize and communicate findings orally and in written form
Contribute to the preparation of papers for publication
Support the development of statistical plans and power analysis for proposal development
Required Qualifications
PhD in biostatistics, statistics, epidemiology, or another quantitative social science field
Proficiency in R
Expertise in missing data imputation
Experience working with large‑scale observational cohort studies or surveys
Familiarity with regression modeling, survival analysis, and longitudinal data analysis
Exceptional written and verbal communication skills, with experience presenting findings
Demonstrated research skills, preferably with peer‑reviewed publications
Preferred Qualifications
Proficiency in Stata and Mplus
Experience in item response theory or confirmatory factor analysis
Prior experience designing and leading complex simulation analysis to estimate statistical power for complex analyses and answer empirical methodological questions
A minimum of 3 years of experience after completion of a PhD
Salary and Benefits
Salary range: $140,000 – $190,000 annually, with additional benefits as per USC policy. This is a grant‑funded position.
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full‑time Applied Biostatistician
to join our dynamic team. This role focuses on advanced statistical analyses for longitudinal studies in aging and dementia, supporting collaborative research, and contributing to high‑impact publications. The position is a grant‑funded, one‑year fixed‑term role with a hybrid work arrangement.
Key Responsibilities
Conduct data analysis using statistical programming with a focus on accuracy and reproducibility
Address missing data using imputation methods and other advanced statistical techniques
Apply theoretical knowledge and appropriate statistical tools to solve complex problems
Develop and implement statistical protocols for quality control
Summarize and communicate findings orally and in written form
Contribute to the preparation of papers for publication
Support the development of statistical plans and power analysis for proposal development
Required Qualifications
PhD in biostatistics, statistics, epidemiology, or another quantitative social science field
Proficiency in R
Expertise in missing data imputation
Experience working with large‑scale observational cohort studies or surveys
Familiarity with regression modeling, survival analysis, and longitudinal data analysis
Exceptional written and verbal communication skills, with experience presenting findings
Demonstrated research skills, preferably with peer‑reviewed publications
Preferred Qualifications
Proficiency in Stata and Mplus
Experience in item response theory or confirmatory factor analysis
Prior experience designing and leading complex simulation analysis to estimate statistical power for complex analyses and answer empirical methodological questions
A minimum of 3 years of experience after completion of a PhD
Salary and Benefits
Salary range: $140,000 – $190,000 annually, with additional benefits as per USC policy. This is a grant‑funded position.
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