Associate Specialist
University of California, San Francisco
San Francisco, CA0–10 yrs54m agovia LinkedIn
About the Role
- 1-year contract role
- Provide technical and statistical support for a project at the University of California, San Francisco (UCSF).
- Collaborate with UCSF and Genentech investigators.
- Develop and evaluate novel statistical methods for hybrid randomized clinical trials with longitudinal outcomes.
Key Responsibilities
- Address missing data and bias from external controls.
- Conduct simulation studies and real-world data analyses.
- Develop reproducible statistical code.
- Evaluate key operating characteristics.
- Contribute to the interpretation and dissemination of findings through manuscripts, presentations, expert meetings, and FDA training materials.
- Help translate methodological advances into practical approaches for hybrid RCTs in rare-disease settings.
Requirements & Tech Stack
- R programming (demonstrated strong proficiency, practical experience in developing, documenting, and testing R packages).
- Experience working with Real-World Data (RWD) sources (e.g., EHR, registries, clinical databases).
- Solid understanding of statistical techniques (e.g., longitudinal data).
- Strong organizational skills and attention to detail.
- Strong communication skills.
- Ability to work both independently and collaboratively in a dynamic research environment.
- Active experience using Git/GitHub for collaborative software development, pull requests, and version control.
Qualifications
- Master’s degree (or equivalent degree) in Biostatistics, Statistics, Bioinformatics, Computer Science, Data Science, or a closely related quantitative field.
- OR five to ten years of relevant experience.
Preferred Qualifications
- Ph.D in Biostatistics, Statistics, Bioinformatics, Data Science, or a relevant quantitative field.
- Background in clinical trials, causal inference, health economics, or epidemiology.
Application Requirements
- Curriculum Vitae (CV)
- Cover Letter
- Transcripts for degree qualifications (electronic unofficial copies are fine)
- Three references (contact information only)