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Summer Internships on Application of RNAi PKPD at Alnylam; Cambridge, MA

From: varun goel <varun_goel_9>
Date: Thu, 20 Apr 2017 15:13:55 +0000 (UTC)

Summer Internship

Alnylam was founded in 2002 on a revolutionaryvision and bold mission which=
 remain firmly in place today. We are leading thetranslation of RNAi as a n=
ew class of medicines with a core focus on RNAitherapeutics toward genetica=
lly defined targets for the treatment of serious,life-threatening diseases =
with limited treatment options for patients and theircaregivers. In January=
 2015, we announced our “Alnylam 2020” guidance thatreflect=
s our expected transition from a late-stage clinical development companyto =
a multi-product commercial-stage company with a sustainable developmentpipe=
line. Alnylam is proud to have been recognized as one of The Boston Globe=
’sTop Places to Work in 2015 and 2016.


Overview of the Program:

With RNAi technology, wehave the opportunity to treat disease and impact th=
e lives of patients in afundamentally new way. Alnylam Summer Internships a=
re designed to developpractical biotech industry knowledge and soft skill a=
dvancement, whilecontributing to the company’s overall mission and =

Internswill also participate in company wide functions such as Annual Commu=
nity ServiceDay, Summer Outing, as well as events & development programs de=
signedexclusively for these students.

Summerintern position in the Clinical Pharmacology & Pharmacometrics group.=
Job Description:  
Through this program, intern will gain experience in utility of quanti=
tativemethods in supporting RNAi therapeutics for drug development of orpha=
n diseaseindications. The students may interact with clinicians, biometrics=
, research,DMPK, or clinical pharmacology scientists.  Depending on th=
e interests ofthe interns following projects may be assigned


·         Compartmentalan=
d PBPK modeling of RNAi therapeutics

·         Exposure-respon=

·         Systemspharmaco=
logy modeling of diseaseusing literature and in-house data

·         Statisticalmode=
ling of endpoints informing trial operating characteristics


Strong understanding of fundamentalsof PKPD and hierarchical modeling of =
 continuous and non-continuousendpoints. Proficiency with quantitative=
 software e.g. Phoenix, R, and NONMEM.Exposure to Bayesian approaches is hi=
ghly desirable.

Currentlyenrolled in a PhD degree program in Pharmacometrics, Pharmaceutica=
l Sciences,Bioengineering, Applied  Mathematics/Statistics, or a =
related  field. Eligible to work on afull-time basis during the i=
nternship duration.


Please visit the following linkto apply

Received on Thu Apr 20 2017 - 11:13:55 EDT

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