RCI-ABBV-28957 Real World Evidence Data Scientist (HEOR/RWE Analytics/SAS/SQL/Python/Machine Learning/Medical Claims Datasets Analysis)

Length of Contract: 2 years (might be renewable)

Location/Site: Remote or onsite at ABV1

Job Title: RWE Data Scientist (contractor), V&E Real World Evidence Analytics

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 RWD.
• This work highlights the value of utilizing real world data to inform or address strategic questions in the disease areas of interest to Client.
• The role involves the application of 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; candidate is expected to act as point of contact for the assigned therapeutic area (TA) on analytical needs, proactively mitigating, resolving and triaging issues and reducing the operational complexity needed.
• Candidate is expected to standardize coding convention, and processes to increase efficiency.
• Candidates must be adept at breaking down complex data into easily understood language and/or visualization for less technical audiences.
• Candidates should also be creative in the use of RWD and propose solutions to answer business questions.

Responsibilities:

• The candidate is expected to have the potential to be the analytics lead for the assigned therapeutic area (TA) to mitigate, resolve and triage analytical complexities
• Presenting results of analysis and contribute presentation of findings and key takeaways for various audiences
• Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities
• Executing analysis plans and providing consultation to design as needed
• 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 assure effective teamwork and overseeing problem solving within the analytical team
• Interactions with Medical Engagement, Business Unit TAs, HEOR, and RWE CoE regarding findings and with other members of the Analytical team that perform QC activities on their studies
• Translating TA business needs into project concepts to develop supporting data dictionary and corresponding analysis

Qualifications:

• 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
• Minimum of 1-2 years’ experience in analytics programing (SAS, SQL, R, Python) required. The 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 that are 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