Analytics Consultant - Pharmaceutical & Life Sciences

Hiring Manager: Michael O'Connell
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TIBCO Spotfire® is a comprehensive software platform that allows customers to perform in-depth analysis on their data, while injecting predictive and complex statistics in the analysis. This enterprise analytics platform offers a next generation, radically faster BI experience and is far more adaptable to specific industry and business challenges. Unlike traditional BI, Spotfire software shifts the power to ask and answer virtually unconstrained questions to front-line users - the people who make decisions every day - without requiring countless new reports or custom queries from IT.

Spotfire's interactive, visual capabilities, coupled with S+/R analytics and the Spotfire Miner data mining environment, allow individuals to easily see trends, patterns, outliers, and unanticipated relationships in data with unprecedented speed and adaptability. TIBCO Spotfire customers include Fortune500 customers from variety of industries, including: Life Science, Energy, Financial Services, Defense & Government and more.

We are looking for a Pharmaceutical and Life Sciences Analytics Consultant to work closely with our TIBCO Spotfire account management and implementation teams as well as our development team to provide analytics expertise within a pre and post sales capacity, proof-of-concept, customer implementation, methodology development and code development to sharpen our current tool kit. This position may require some travel to customer locations (about 10-20%) and can be accomplished from a home office base, but candidates who live in the North Carolina / Research Triangle Park area or the north-east US will be given preference.

QUALIFICATIONS

• Experience in statistical data analysis and some involvement in delivering statistical analyses as part of projects, engagements or deployed software applications a must
• 3+ years of experience with S-PLUS or R
• Experience with other software environments e.g. SAS, Matlab, Spotfire, Spotfire Miner, and/or other data mining software or .Net tools is a plus
• Candidate should have a masters or PhD degree with a major in statistics. Graduate classes in Time Series Analysis, Longitudinal Methods and/or Data Mining are a plus.
• Candidates must be proficient in the Windows environment; Linux is a plus.