Associate Director, HEOR RWE Analytics

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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

This position is responsible for designing, planning, and executing statistical components of plans for research studies that prove the clinical, economic and humanistic 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.

Role supports the department as a technical subject matter expert on RWE analytics; candidates are expected to act as a point of contact for the MHI enterprise assigned therapeutic areas on analytical needs, proactively mitigating, resolving and triaging issues and reducing the operational complexity needed. Candidates are expected to standardize coding convention, and processes to increase efficiency. Candidates must be adept at breaking down complex data into easily understood language and data visualization creation for comprehension of less technical audiences. Candidates should also be creative in the use of RWD/E and advanced analytics approaches such as machine learning to propose solutions to complex business questions. The role requires both technical application and consultative collaboration.

Responsibilities

• The candidate is expected to be the analytics lead for the assigned therapeutic areas to mitigate, resolve and triage analytical complexities
• Presenting results of analysis and key takeaways to audiences with varying technical skill and level within the organization.
• Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities
• Responsibility and accountability for meeting timelines in complex matrix structure. This will require developing and maintaining effective cross-functional working relationships to ensure effective teamwork and problem solving within the cross-functional team
• Translating TA business into project concepts to develop analysis plans, study design and corresponding analysis
• Utilization of good coding, development and documentation practices to ensure robust creation, quality control and maintenance of analytics projects

• Support clinical trial endpoint strategies by executing analysis and contributing to statistical analysis plans/programming specifications
• Contribute to the writing and publishing of scientific presentations
• Monitor scientific, regulatory and reimbursement / access trends, events and policies for their potential to affect current research responsibilities

   

• Master’s degree in Statistics or related discipline required (e.g., Health Economics and Outcome Research, Epidemiology, Health Services research etc.), PhD in statistics or closely related discipline preferred
• Minimum of 5-10 years of experience in analytics programing (SAS, SQL, R, Python) and experience in observational study analysis (claims, survey, clinical and EMR analysis) required.
• Ability to incorporate production code macros required, ability to execute programming assignments and problem solve issues independently, and ability to present complex research and data clearly to stakeholders.
• Experience and/or training in the application of advanced scientific and analytical methods in real world evidence generation
• Ability to perform urgent analyses needed with short turnaround time and interact with internal and external collaborative partners on joint projects
• Professional training in a healthcare field, experience in analysis of large medical claims datasets/electronic medical records or prior experience in the UNIX/Hadoop environment preferred
• Oncology experience is preferred. 

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 short-term incentive programs. ​

• 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 employee remains in the Company's sole and absolute discretion unless and 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. 

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