Senior Manager, RWE Analytics

Data Scientist

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 www.abbvie.com.

Purpose:

Role is responsible for designing, planning, and executing large scale data analysis, and algorithm development to identify gaps in the care continuum and to measure impact using real-world data and evidence (RWD/E). This work highlights the value of utilizing real world data to inform and/or address strategic questions in the disease areas of interest to AbbVie. The role involves the application of real-world evidence study design, statistical theories, analytical methods, and technical programming skills to analyze clinical, survey, claims, and electronic medical record 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 (all Therapeutic Areas (TAs)) 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 MHI Enterprise (all TAs) to mitigate, resolve and triage analytical complexities supporting care gaps analytics needs for medical engagement
• Presenting results of analysis and key takeaways for 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
• Developing and executing analysis plans, and responsible for study design
• Work with Medical Engagement to understand key impact variables and use RWD to quantify and operationalize these variables
• 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
• Interacting with Medical Engagement, Business Unit TAs, HEOR Strategy, and RWE CoE (Center of Expertise) regarding findings evidence along the lines of strategic communication
• Translating TA business needs into project concepts to develop analysis plan and corresponding analysis
• Utilization of good coding, development and documentation practices to ensure robust creation and maintenance of care gap analytics projects

Qualifications:

• 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 3-5 years' experience in analytics programming (SAS, SQL, R, Python) required and experience in observational study analysis (claims, survey, clinical and EMR analysis) required. Candidates with Python and machine learning experience are preferred.
• 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 or prior experience in the UNIX/Hadoop environment preferred

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

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.