Position Title: Postdoctoral Researcher
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, data science, applied mathematics and pharmacometrics
as applied to clinical trials and therapeutics.
The postdoc will be mentored jointly by Dr. Patrick Phillips and Professor Rada
Savic.
Background:
The research laboratory of Prof. Rada Savic ( https://pharm.ucsf.edu/savic) in
the Department of Bioengineering and Therapeutic Sciences at UCSF is engaged in
groundbreaking drug development projects for Global Health including infectious
diseases such as tuberculosis, HIV, and malaria, as well as pain management and
autoimmune disease with a focus on identifying optimal treatment regimens. We
develop and apply disease models, perform pharmacokinetic and pharmacodynamic
evaluations, build physiology-based pharmacokinetic models, conduct
exposure-response analyses, and utilize model-based simulations with the
ultimate goal of optimizing treatment in adult, and pediatric and other special
patient populations. To this aim, the Savic Lab collaborates with clinical and
preclinical leaders within the field, as well as with federal and international
global health partners, private foundations, and with pharmaceutical and
biotech companies. The Savic Lab has a strong collegial character where
passionate scientists, with different backgrounds, collaborate and share their
knowledge within focused teams.
Dr. Phillips ( https://profiles.ucsf.edu/patrick.phillips) has joint
appointments in the Department of Medicine and the Department of Epidemiology
and Biostatistics at UCSF. The objective of Dr. Phillips’ research is to
design, implement, and optimize clinical trials for new treatments for
tuberculosis in order to deliver safer and more efficacious regimens for
patients. He is lead statistician for several international tuberculosis trials
networks and has been primary senior statistician for a number of high impact
phase II and phase III tuberculosis clinical trials. He leads a team of
masters-level and PhD-level statisticians providing statistical support to many
ongoing TB trials and working on applied clinical trials methodology.
The UCSF Department of Epidemiology & Biostatistics - the largest department of
epidemiology in the University of California system in terms of full-time
primary faculty and the number of affiliated faculty - aims to carry out its
educational, scientific, and clinical missions within the highly
interdisciplinary culture of UCSF and to take a transdisciplinary approach to
education and research.
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
[email protected]<mailto:[email protected]> and
[email protected].
UC San Francisco seeks candidates whose experience, teaching, research, or
community service that has prepared them to contribute to our commitment to
diversity and excellence. The University of California is an Equal
Opportunity/Affirmative Action Employer. All qualified applicants will receive
consideration for employment without regard to race, color, religion, sex,
sexual orientation, gender identity, national origin, disability, age or
protected veteran status.