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Job Title: Statistician

Company Name: Thomson Elite
Location: Santa Barbara, CA
Profession: Project/Engagement Management

Job Description:



Description


 
Thomson Reuters is the world's leading source of intelligent information for businesses and professionals. We combine industry expertise with innovative technology to deliver critical information to leading decision makers in the financial, legal, tax and accounting, scientific, healthcare and media markets, powered by the world's most trusted news organization. With headquarters in New York and major operations in London and Eagan, Minnesota, Thomson Reuters employs more than 50,000 people in 93 countries.

 

The Healthcare business of Thomson Reuters provides insights -- information, benchmarks and analysis -- that enable organizations to manage costs, improve performance and enhance the quality of healthcare.


Statisticians support senior researchers in the areas of statistics, health services research, epidemiological methods, and healthcare performance measurement. The position is responsible for assisting in the production, quality, deployment, and documentation of methodologies and content for Thomson Reuters Healthcare clients. The statistician also participates in writing and reviewing statistical methodology for new businesss proposals.

 

Responsibilities:

• Collaborate with project managers and senior methodologists to achieve study objectives, deliver results on time, and ensure the quality of deliverables.
• Interact with internal knowledge experts and senior methodologists to specify statistical models.
• Create specifications for building analytic data files.
• Analyze health research data and interpret results.
• Perform standard statistical analyses (e.g, descriptive analyses, regression analyses, hypothesis testing, etc.) using a statistical programming language.
• Communicate effectively with both internal and external clients, explain methods, interpret results, and create effective tabular and graphical displays.



Qualifications


 


  • Master's degree in statistics, epidemiology, or a related discipline.

  • At least 1 year of research project experience.

  • Experience with a statistical programming language (e.g., SAS, SPSS, Stata, S-Plus, or R).

  • Have a working knowledge of Microsoft Word and Excel.

  • Experience fitting generalized linear models.

  • Experience with hierarchical and Bayesian modeling using WinBUGs.

  • Experience in data mining techiques.

  • Strong SAS programming skills.



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