R sig jobs - Apr 2014 - Statistician Programmer opening at IMS, Inc.

IMS is looking for a Statistician/Programmer to join our team in our
Calverton/Beltsville, MD office. This position will be an addition to our group
of statisticians, collaborating with nationally recognized statisticians at the
National Cancer Institute (NCI), to support NCI's work in studying genomics,
cancer rates, determinants of cancer, and cancer treatment and prevention. In
this position, you will be:

* Developing statistical methods and data analysis procedures to analyze genomic
studies, observational studies, intervention, trials and laboratory studies.
* Conducting statistical analyses as well as interpreting and publishing the
results.
* Working with cohort and case/control studies in biomedical research.
* Working with population-based data sources to model trends in incidence,
mortality and survival, relating those trends to changes in risk factors and
control practices in the population.

Requirements:
* Masters of Science or PhD degree in statistics, math, or a related field
* 0-3 years of experience, experience with genetic analysis preferred
* Knowledge of R
* Knowledge of software development methodology
* Knowledge of genetic research is a plus
* Knowledge of SAS, C, C++, and other higher level programming languages
preferred
* Familiarity with modern biostatistical analysis techniques including spatial
analysis and survival analysis methods
* Excellent problem solving skills
* Strong communication skills
* Must be detail-oriented

If this sounds like the right position for your career, apply today at
www.imsweb.com. EOE M/F/Disability/Vet.


________________________________

Information in this e-mail may be confidential. It is intended only for the
addressee(s) identified above. If you are not the addressee(s), or an employee
or agent of the addressee(s), please note that any dissemination, distribution,
or copying of this communication is strictly prohibited. If you have received
this e-mail in error, please notify the sender of the error.