1. Work with the leadership of Data Management and Analytics to lead other data and analytics specialists in providing data and analytics support to various CORE projects, including data acquisition, data integration, data curation, data analysis, results summarization and interpretation, technical write up, and other relevant activities. 2.  Participate in recruiting, developing, and managing analytics talents to build and grow a team of talented data specialists. Foster a success-oriented environment of accountability and a culture of diversity, respect, and inclusion. 3. Provide leadership in developing systematic and efficient approaches to projects to ensure successful outcomes. Champion high standards and best practice. 4. Provide directions on study design, analysis plan, timeline and reporting of information on assigned projects to ensure successful completion of the projects according to CORE business plan. 5. Provide guidance to other analysts on design and development of analytic approaches tailored to the unique needs of various CORE projects to ensure success. Provide effective leadership and project management to ensure high quality and timely completion of projects. 6. Identify research and analytics initiatives to support CORE's strategic development, proactively adopting new and better analytical approaches to address problems at hand. 7. Provide statistical training and mentorship to CORE statisticians/analysts and other CORE members. 8. Prepare analytic deliverables, including presentations, reports, research papers, etc. 9. Interface with both internal and external collaborators to achieve CORE project objectives. 10. Participate in preparing and reviewing research grant and/or contract proposals. 11. Work with the leadership of Data Management and Analytics to build and maintain an efficient, reliable, and high-capacity data management and computing infrastructure.

Required Skill/ability 1:  Expertise in statistical methods such as causal inference, program evaluation, experimental design, Bayesian data analysis, hierarchical/multilevel modeling, predictive modeling, and machine learning.

Required Skill/ability 2:  Advanced knowledge and related work experience utilizing SAS, R, or Python in research investigations and biostatistical data analysis. Proficiency in fitting generalized linear models and mixed effects models.

Required Skill/ability 3:  Ability to lead, supervise, implement, and monitor statistical projects and analyses. Ability to summarize, interpret complex data analyses. Ability to communicate complex analytical concepts and results to audiences with varying degrees of technical understanding in written, oral and visual forms. Ability to maintain high degree of confidentiality and integrity.

Required Skill/ability 4:  Ability to work collaboratively and effectively with colleagues and others to create a results driven, team-oriented environment. Must be able to solve and troubleshoot problems, handle conflict, and anticipate issues/concerns.

Required Skill/ability 5:  Strong decision-making skills with the ability to work effectively under pressure. Ability to evaluate problems or issues from multiple perspectives and develop scientifically sound practical solutions.

Preferred Education:  PhD degree in Biostatistics or Statistics preferred. Publishing history as co-author and primary data analyst. Experience working with administrative claims data, with specific experience with CMS claims databases. Demonstrated experience leading a team in a matrixed research and or contract organization environment.

Work Week:  Standard (M-F equal number of hours per day)

Posting Position Title:  Statistician 3

University Job Title:  Statistician

Preferred Education, Experience and Skills:  PhD degree in Biostatistics or Statistics preferred. Publishing history as co-author and primary data analyst. Experience working with administrative claims data, with specific experience with CMS claims databases. Demonstrated experience leading a team in a matrixed research and or contract organization environment.

Master's degree or higher in Biostatistics, Statistics, or relevant field. At least 5  years of experience, or an equivalent combination of education and experience. Proficiency in data management and analysis processes and documentation, familiarity with a wide variety of health care data, expertise with multiple statistical analysis techniques and software packages, demonstrated ability to lead projects and analyses of moderate to high complexity, and learn and apply new technologies, techniques and strategies.

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