Ecocareers · 2 months ago
RWE Data Scientist
Chicago, IL
Full-time
Onsite
Entry, Mid Level
1+ years expConfidential company is seeking an RWE Data Scientist responsible for designing, planning, and executing large scale data analysis to identify gaps in the care continuum. The role involves applying statistical theories and analytical methods to analyze various databases and acting as a technical subject matter expert on RWE analytics.
Staffing & Recruiting
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
Qualification
Required
Master's degree in Statistics or related discipline required
Minimum of 1-2 years' experience in analytics programming (SAS, SQL, R, Python) required
Ability to incorporate production code macros required
Ability to execute programming assignments and problem solve issues independently
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
Preferred
PhD in statistics or closely related discipline (e.g., Health Economics and Outcomes research, Epidemiology, health services research etc.) preferred
Candidates with Python and machine learning experience are preferred
Professional training in a healthcare field, experience in analysis of large medical claims datasets or prior experience in the UNIX/Hadoop environment preferred
Company
Ecocareers
Ecocareers provides a specialized job search for careers that make a difference.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase