Manager, HEOR Real World Evidence (RWE) Analytics

About AbbVie
AbbVie’s mission is to discover and deliver innovative medicines 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, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.

Job Title: Manager, HEOR Real World Evidence (RWE) Analytics

 

Purpose:

Role is responsible for designing and executing analytical components of plans for research studies that examine the real world value of pharmaceutical assets or address strategic questions in the disease areas of interest to AbbVie. Position applies methodological and analytical expertise to conduct the analysis of HEOR studies. This involves the application of real world evidence study design, statistical theories, and technical programming skills to analyze clinical, survey, claims, and electronic medical record databases. he/she is expected to act as point of contact for the assigned therapeutic area (TA) on RWE analytics needs, proactively mitigating, resolving and triaging issues and reducing the operational complexity needed.

 

Responsibilities:

• He/she is expected to be the point of contact for the assigned therapeutic area (TA) or product/indications to manage analytics activities on multiple assigned projects/studies focusing on RWE analyses from large databases (e.g., medical claims, EMR/EHR, registries, etc.) across various therapeutic areas
• Responsibility for analytical component of reports describing studies, outcomes and methods used and provide specifications to the HEOR researchers
• Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities led by HEOR
• Supporting clinical trial endpoint strategies by executing statistical analysis plans and providing consultation to design as needed; Apply knowledge of SAS programming to develop and validate statistical tables, data listings, figures, and derived datasets for clinical trials data  according to SAP and other specifications
• Presenting results of studies and contribute to the writing and publishing of scientific presentations
• Responsibility and accountability for meeting timelines in complex matrix structure. This will require developing and maintain effective cross-functional working relationships to assure effective teamwork and problem solving within the analytics team
• Interactions with HEOR TA scientists and other relevant stakeholders regarding studies design and execution and with other members of the RWE analytics team or other external CRO's to perform QC activities on their studies

Qualifications

Basic Requirements:

• Master’s degree in Statistics or related discipline required, PhD in statistics or closely related discipline (e.g., Health Economics and Outcomes research, Epidemiology, health services research etc.)  preferred
• Previous experience in designing and conducting research and disseminating the results in the areas of health economics, health outcomes, disease management, and/or population health preferred
• Minimum of 2 years’ experience in SAS, SAS Macro SQL programming and experience in observational study analysis (claims, survey, clinical and EMR analyses); Experience with “R” or other similar Programming (e.g.  python) for real world evidence analytics
• Ability to incorporate production code macros in studies required, ability to execute programming assignment and problem solve issues independently, and ability to present complex research and data clearly to stakeholders
• Experience in RWE generation in pharmaceutical industry or healthcare consulting companies highly preferred
• Experience and/or training in the application of advanced scientific and analytical methods
• Ability to perform urgent analyses that are needed with short turnaround time and interact with internal and external collaborative partners on joint projects

Significant Work Activities
N/A
Travel
No
Job Type
Experienced
Schedule
Full-time
Job Level Code
M
Equal Employment Opportunity
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.