Senior Statistician

The Sr. Statistician will provide expertise in the analysis of healthcare fraud as well as in the areas of statistics, health services research, epidemiological methods, and healthcare provider performance. Strong data mining skills are required, preferably with experience in the use of specialized data mining software. The successful candidate will be responsible for the production, quality, deployment, and documentation of methodologies and content for Thomson Reuters Healthcare clients. This person will be capable of operating as an independent statistical consultant, advising colleagues and clients on the planning and execution of statistical analyses using appropriate methods, as well as on the interpretation and presentation of results. The candidate will also participate in writing new business proposals. Strong skills are expected in statistical programming.

Job Responsibilities

• Collaborate with Project Managers to achieve study objectives, deliver results on time, and ensure the quality of deliverables.
• Interact with knowledge experts to specify statistical models.
• Create specifications for building analytic data files.
• Analyze health research data and interpret results.
• Ensure data and reporting meet high standards.
• Strictly follow data security protocols.
• Serve as consultant regarding content and methods to both internal and external (client) users.
• Innovate statistical methods or adapt standard statistical methods, as needed.
• Communicate effectively with both internal and external clients, explain methods, interpret results, and create effective tabular and graphical displays.
• Give talks on statistical methods for both internal and external audiences.

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.

Qualifications

• Ability to multi-task without sacrificing quality or deadlines on individual projects. Requires experience working on multiple projects simultaneously.
• Excellent communication skills: able to discuss technical issues with technical and non-technical audiences and work in a multi-disciplinary environment.
• Proven ability to estimate and meet realistic timelines.
• Ability to solve problems using analytical skills and choose appropriate statistical methods to meet study objectives.
• Experience in designing analyses for a non-technical client.
• Self-motivated, detail-oriented and a team player. Requires experience in carrying out innovative methods and functioning as a statistical lead within a project team.
• Experience in the documentation of analytical concepts, in report-writing, and in writing papers for submission to journals. Requires publications in journals or the submission of statistical reports to clients.
• Self directed and motivated: requires minimal management assistance to accomplish day to day activities. Requires significant experience in statistical consulting.
• Experience in data mining.
• Experience in a broad array of statistical methods used in health services research. Requires experience with basic and advanced statistical methods, including hypothesis testing, confidence intervals, sample size determination, Bayesian statistics, analysis of variance and regression modeling, including generalized linear models, logistic regression, Poisson regression, and hierarchical regression.
• Ability to program in SAS.
• Familiarity with the Microsoft Suite (e.g., Excel and Word).
• Master's Degree and 5+ years of health services research experience, or PhD and 3+ years of health services research experience.
• Degree in statistics, biostatistics, health services research, or a related field.

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, gender, national origin, religion, sexual orientation, disability, age, or any other protected classification under country or local law. Thomson Reuters is an Equal Employment Opportunity/Affirmative Action Employer.

Intrigued by a challenge as large and fascinating as the world itself? Come join us.

_Contact_:
To learn more and to apply, please visit careers.thomsonreuters.com and search for RES00000539.

More information about Thomson Reuters can be found on www.thomsonreuters.com.

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