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Postdoctoral Scholar Research Position in the Savic Integrative Pharmacology Laboratory.

From: Shaffer, Craig H <Craig.Shaffer>
Date: Thu, 20 Aug 2020 20:05:45 +0000

Dear Colleagues:


The research laboratory of Dr. Rada Savic in the Department of Bioengineeri=
ng and Therapeutic Sciences of the University of California, San Francisco =
(UCSF) is seeking researchers and scholars of exceptional promise for postd=
octoral fellow positions in interdisciplinary research with expertise in th=
e methods and theory of statistics, data science, applied mathematics AND p=
harmacometrics or related fields (eg pharmacokinetics, pharmacodynamics, qu=
antitative pharmacology, systemic pharmacology, computational biology). As=
 a part of the Savic lab, you will develop innovative models that integrate=
 new data and/or new experiments, implement new mathematical and statistica=
l techniques and approaches, and contribute to establishing pharmacometric =
capabilities and infrastructure (e.g. lead the development of tools for rec=
urrent and consistent analysis, develop guidance documents and standards of=
 practice). In addition to these roles, the postdoctoral fellow will have o=
pportunities to teach and supervise graduate students, write scientific pap=
ers, present research findings at international conferences, and write and =
submit grant applications.



Background: The Savic Lab is engaged in groundbreaking drug development pro=
jects for infectious diseases including 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 ph=
armacokinetic and pharmacodynamic evaluations, build physiology-based pharm=
acokinetic models, conduct exposure-response analyses, and utilize model-ba=
sed simulations with the ultimate goal to optimize treatment in adult and p=
ediatric patient populations. While pharmacokinetic-pharmacodynamic concept=
s and advanced quantitative clinical pharmacology principles have been inte=
grated into the clinical development of compounds across many therapeutic a=
reas, human dose prediction and early clinical evaluation of the efficacy a=
nd safety of candidate molecules for infectious diseases remains empirical.=
 Innovative approaches are required to enable effective translation of nonc=
linical data, providing insight into the selection of rational combinations=
 and optimized clinical trial designs.



Pharmacometrics is a discipline that uses mathematical and statistical tool=
s to quantify drug, disease, and trial information to aid efficient drug de=
velopment and regulatory decisions. It designs and applies mathematical mod=
els to describe the relationship between drug exposure (pharmacokinetics) a=
nd response (pharmacodynamics) for both desired and undesired effects and a=
ims to include in such models, the effects of individual patient characteri=
stics with the ultimate goal to give the right drug at the right dose to th=
e right patient at the right time. Dr. Savicís Pharmacometrics Team has e=
stablished translational and clinical drug development expertise across man=
y disease areas and is active internationally enjoying impactful collaborat=
ions and exchange programs with the most renowned clinical trial networks a=
nd modelling groups worldwide.



Required skills: In addition to enthusiasm, motivation and independent thin=
king, candidates must have working knowledge of pharmacokinetic-pharmacodyn=
amic modelling and simulation, including some advanced statistical principl=
es (nonlinear mixed effects modelling, Bayesian statistics, clinical trial =
simulations). Strong programming skills in R, Metlab or Python and experien=
ce in NONMEM are essential. Knowledge of drug development, high-performance=
 computing, and dynamic modeling are preferred.



Ideal candidates will have a passion about scientific research with the wil=
lingness and ability to learn and integrate knowledge from across different=
 therapeutic areas. Personal skills such as teamwork, accurate listening, s=
trategic thinking, along with very good oral and written English language s=
kills will be critical for the successful candidates.



Post-doctoral research fellow candidates should have completed or obtained =
a PhD in a relevant discipline such as statistics, data science, applied ma=
thematics, pharmacometrics or related fields (eg pharmacokinetics, pharmaco=
dynamics, quantitative pharmacology, systemic pharmacology, computational b=
iology), and have published their research in a peer reviewed journal.



The successful candidates will be co-located with the modeling team in Savi=
c Laboratory on the Mission Bay campus of UCSF.



Salary is commensurate with experience. E-mail a curriculum vitae, a letter=
 stating research interests and contact information for three references to=
: rada.savic





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 Opportu=
nity/Affirmative Action Employer. All qualified applicants will receive con=
sideration for employment without regard to race, color, religion, sex, sex=
ual orientation, gender identity, national origin, disability, age or prote=
cted veteran status.



Best regards,



Craig Shaffer

Director, Strategy and Operations

Department of Bioengineering and Therapeutic Sciences

Schools of Pharmacy and Medicine

University of California, San Francisco

E-mail: craig.shaffer


Received on Thu Aug 20 2020 - 16:05:45 EDT

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