Associate Director, RWE Analytics

Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description 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. Qualifications Master’s degree in Statistics / Mathematics or related discipline required; however, PhD is preferred. Professional training in the health field is a plus. Minimum of 5 years’ experience in SAS, SAS Macro and SQL programming required. Ability to incorporate production code macros in studies required. Experience in analysis of large medical claims datasets preferred. Prior experience in the UNIX environment is a plus. Ability to execute programming assignment and problem solve issues independently. Ability to present complex research and data clearly to stakeholders. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employer remains in the Company's sole and absolute discretion until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: #J-18808-Ljbffr