Jobs
From: KS
Date: 13 Sep 2005
Subject: Collegeville, PA: Principal Scientist at GlaxoSmithKline
At GlaxoSmithKline, scientists in Research and Development are
committed to capturing this moment. They bring to it their own very
considerable abilities, the resources of a parent company devoted to
the scientific enterprise, and the urgency of knowing that their
highest purpose is the relief of human suffering. In pursuit of this
purpose, they desire to make of GlaxoSmithKline a magnet for others
who share their talents, whether as prospective corporate colleagues
or as collaborators in industry, academe, and government.
Minimum Requirements:
Position requirements are a graduate degree in statistics,
biostatistics or related fields (Ph.D. preferred), two years of
experience in the job offered or in the related occupation of data
mining technology, which shall include experience in
(i) designing, developing and applying data mining technologies;
(ii) developing complex predictive computational models to extract hidden patterns
from diverse data sources; and
(iii) designing, documenting and
implementing complex algorithms to solve data mining problems.
Details:
Analysis Applications, Research and Technologies (A2RT) team in GSK
Statistics and Quantitative Sciences (SQS) are applying their
technical data exploration skills to variety of projects in drug
discovery and development while pursuing applied research in
prediction modeling. The projects range from data mining aggregated
clinical trial data to biomarker profiling of integrated biology data
from various platform technologies including genomics and proteomics.
Principal data exploration scientist develops, evaluates and
implements novel data mining methods to extract knowledge from the
oncology biomarker data generated during the different stages of the
oncology Drug Discovery and Development (DDD) process;
- integrating
medical knowledge with data analysis technologies;
- analyze and
interpret data within the drug discovery context;
- develop unique
applications for problem solving;
- deploy complex algorithms to solve
analytical problems using non-traditional techniques derived from the
artificial intelligence and statistical fields;
- create computational
models that explain and help to understand the interaction between
oncology biomarkers, drugs, diseases and biological hosts using
diverse data sources;
- collaborate with Genetics Research, Medical
Development and Biomedical Data Sciences teams in order to effectively
utilize oncology biomarker data and establish statistical methods and
processes to effectively analyze, interpret and report oncology
biomarker data for drug development;
- enable biomarker decision making
for study development based on compound and disease state; manage
projects involving the application of unique technologies to solve
problems in DDD process;
- and prepare, present and publish relevant
materials; demonstrated ability to work well in a diverse
multi-disciplinary team environment.
GlaxoSmithKline is dedicated to an innovative workplace and supports
you with career long opportunities and learning. We offer a
competitive benefits and compensation package designed to attract and
retain the very best.
We offer a competitive total compensation package as well as an environment conducive to personal and professional growth.
No agency referrals please.
Developing talent through equality of opportunity, M/F/D/V.
Contact:
For confidential consideration and efficient processing, please
apply online here.
PLEASE ONLY APPLY BY CLICKING ON THE ABOVE LINK.
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