RWE Data Scientist
Katalyst Healthcares and Life Sciences
Job Description:
- 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.
- 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.
- 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.
- bility 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.
- bility 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.
Vacancy posted 4 days ago
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