Associate Director, HEOR Real World Evidence (RWE) Analytics

Lake County, Illinois
Oct 06, 2021
Required Education
Masters Degree/MBA
Position Type
Full time
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 Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.


Role is responsible for designing, planning, 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 or consult on the analysis of HEOR studies. This involves the application of real world evidence study design, statistical theories, methods, and technical programming skills to analyze clinical, survey, claims, and electronic medical record databases. Role supports the department as a subject matter expert on RWE analytics; 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. He/she is expected to standardize coding convention, processes and protocol translations to increase efficiency.



  • He/she is expected to be the analytics lead 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
  • Translating HEOR business needs into RWE research project concepts and collaborating with HEOR scientists to develop study protocols and analytics plans
  • Supporting department with advice and guidance/training on data sources, how RWE can be used, and what performance standards are attainable for RWE research studies



  • 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 training and Significant 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
  • Knowledge and experience of health care systems in the U.S., Europe, Asia or other settings as appropriate for the position requirements; Understanding of and experience with clinical settings and clinical research
  • Minimum of 3 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
  • Professional training in a healthcare field, experience in analysis of large medical claims datasets or prior experience in the UNIX & Hadoop environment preferred; Experience and in-depth knowledge working with medical and billing coding systems such as ICD-9, ICD-10, SNOMED, LOINC, NDC, HCPCS, and CPT
  • 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
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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.