Statistician MD Job in Owings Mills 21117, Maryland Us

Job Summary

Provide statistical and project specific support for research and development of analytic services and projects. Ensure that projects will meet statistical criteria and support the subject matter experts in the design of methodologies for database design and reporting systems including sampling, data collection tool design, validation/reliability methods, statistical modeling and statistical analysis. Ensure procedures for accuracy of programs are followed. Specific responsibilities to include:

•·         Monitor the integrity of data ensuring quality, accuracy, and timely delivery of contract requirements, in addition to serving as a technical resource to researchers, customers, and internal team members regarding the availability and reliability of data sources and health services' research methodologies

•·         Support the creation of analytic code and datasets for various contracts; may also create the code depending on the complexity

•·         Assist with designing optimal methodologies for database design and reporting systems including sampling, data collection tool design and statistical modeling

•·         Participate in research projects

•·         Support the creation of documentation for measure algorithms, database accuracy, features of datasets, options for research methodologies, etc.

•·         Perform data mining of Medicare and Medicaid data under supervision

•·         Provide statistical input into the development of business intelligence tools

 

Required Skills/Abilities

•·             Strong SAS PC skills

•·             Health data experience and expertise preferred

•·             Experience working effectively with large databases using SAS

•·             Proven communication skills both written and verbal; expertise and experience explaining complex information to non-technical audiences

 

Education/Experience

Doctoral degree (Ph. D.) in Statistics (or related technical field) and experience working with data and analytics.