The Savic Lab at the University of California, San Francisco (UCSF) is seeking experienced postdoctoral researchers of exceptional promise for postdoctoral fellow positions in interdisciplinary research with expertise in the methods and theory of statistics as applied to clinical trials and therapeutics.
The postdoc will be mentored jointly by Dr. Patrick Phillips and Professor Rada Savic.
Position: The position involves methodological and applied research in the design, conduct, and analysis of randomized clinical trials with a focus on clinical trials in tuberculosis. Areas of methodological development include non-inferiority trials, platform and other adaptive trial designs, specification of estimands accounting for intercurrent events and missing data, and trial designs to evaluate treatment duration. Expertise in pharmacokinetic-pharmacodynamic (PK-PD) modelling and simulation, especially advanced statistical principles (nonlinear mixed effects modelling, Bayesian statistics, clinical trial simulations, estimands, missing data imputation), along with strong programming skills in R, Stata, Matlab or Python is essential for designing and analyzing early and late randomized clinical trials in support of the goal to optimize TB treatment in adult, as well as pediatric and other special patient populations. Experience in pharmacometrics software (e.g. NONMEM) and knowledge of drug development, high-performance computing, and dynamic modeling is preferred.
The successful candidate is expected to work closely with Dr. Phillips and Prof. Savic, and to conduct independent methodological research under his oversight, resulting in the writing of peer-reviewed publications for medical and statistical journals. The environment is multidisciplinary. The postdoctoral fellow will also have opportunities to collaborate with other scientists in the UCSF Schools of Pharmacy and Medicine.
Position Qualifications: PhD degree in biostatistics, statistics or a related field.
The following skills are desirable: excellent methodological training in statistics; experience in pharmacokinetic-pharmacodynamic or other non-linear mixed effects modeling; experience in design and analysis of randomized clinical trials; excellent programming skills in R, Stata, Matlab, Python, and/or NONMEM; and excellent written and oral communication skills.
Salary is commensurate with qualifications and experience.
Benefits: https://postdocs.ucsf.edu/hr-benefits-overview
To apply, send a cover letter describing your research interests, CV and names of two references to Patrick.phillips@ucsf.edu and craig.shaffer@ucsf.edu.