RESPONSIBILITIES

• Apply state-of-the-art integrative analysis techniques to advance decisions on the Lilly pipeline. Data include comparative genomic hybridisation, gene expression, proteomics, metabonomics, and high-content cellular screening data. Data sources include in vitro and in vivo model systems as well as clinical samples.
• Develop novel methods to advance data interpretation based on integrated mathematical and statistical models of biological systems
• Work with experimental scientists on collaborative projects in drug discovery
• Senior-level applicants will be expected to assume some management responsibilities

• Ph.D. or MS/BS with experience in applied data analysis in the Life Sciences
• Demonstrated accomplishments in bioinformatics, biology, or statistics; background in oncology biology is desirable
• Computational Scientist applicants should demonstrate skills in high-level programming languages, such as Java, C++, C, Matlab or R
• Statistician applicants should be well-versed in multivariate analysis methods, including classification and should be familiar with design of experiments
• Current vacancies in Computational Biology and Integrative Analysis exist

HOW TO APPLY