RWE Data Scientist III
RWE Data Scientist III
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1 Vacancy
Job Description
Overview:
- 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 the 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.
Requirements:
- Masters 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.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Contract
Employment Type
Contract
