Associate Director, RWE Analytics

AbbVie•Boston, IL

About The Position

This position is responsible for designing, planning, and executing statistical components of plans for research studies that prove the economic value of pharmaceutical assets. Position uses sound statistical methodology to conduct studies, develops/or applies statistical theories, methods, and applies technical programming skills and experience to analyze clinical, survey and claims databases. Use SAS software to execute medical claims, electronic medical claims, survey, and clinical database studies. Perform QC analyses of other SAS Scientists studies and confirm accuracy of the derived data in the analytical database Responsible for statistical component of reports describing studies, outcomes and methods used and provide specifications and directors to the HEOR researchers. Present results of studies through spreadsheets / graphics Create analytical databases from raw databases. Independently identify appropriate internal and external data resources and external expertise to execute strategies and research activities led by HEOR Contribute to the writing and publishing of scientific presentations. Support clinical trial endpoint strategies by executing statistical analysis plans Under general direction, design, implement, and maintain complex databases with respect to access methods, access time, validation checks, organization, protection and security, documentation, and statistical methods. Monitor scientific, regulatory and reimbursement / access trends, events and policies for their potential to affect current research responsibilities .

Requirements

Master’s degree in Statistics / Mathematics or related discipline required
Minimum of 5 years’ experience in SAS, SAS Macro and SQL programming required.
Ability to incorporate production code macros in studies required.
Ability to execute programming assignment and problem solve issues independently.
Ability to present complex research and data clearly to stakeholders

Nice To Haves

PhD is preferred.
Professional training in the health field is a plus.
Experience in analysis of large medical claims datasets preferred.
Prior experience in the UNIX environment is a plus.

Responsibilities

Designing, planning, and executing statistical components of plans for research studies that prove the economic value of pharmaceutical assets.
Using sound statistical methodology to conduct studies, develop/or apply statistical theories, methods, and apply technical programming skills and experience to analyze clinical, survey and claims databases.
Using SAS software to execute medical claims, electronic medical claims, survey, and clinical database studies.
Performing QC analyses of other SAS Scientists studies and confirming accuracy of the derived data in the analytical database.
Being responsible for the statistical component of reports describing studies, outcomes and methods used and providing specifications and directors to the HEOR researchers.
Presenting results of studies through spreadsheets / graphics.
Creating analytical databases from raw databases.
Independently identifying appropriate internal and external data resources and external expertise to execute strategies and research activities led by HEOR.
Contributing to the writing and publishing of scientific presentations.
Supporting clinical trial endpoint strategies by executing statistical analysis plans.
Under general direction, designing, implementing, and maintaining complex databases with respect to access methods, access time, validation checks, organization, protection and security, documentation, and statistical methods.
Monitoring scientific, regulatory and reimbursement / access trends, events and policies for their potential to affect current research responsibilities.