Data Scientist III

REMOTE ROLE Pay: $80 - $88/hr Contract Duration: 2 yrs REQUIRED: MS or PHD in HEOR or Epidiemiology (Health Economics and Outcomes Research) Analytics programing (SAS, SQL, R, Python) 2 years of expereince with Real World Evidence Generation or Real World Data (RWE or RWD) Production code macros Analysis of large medical claims datasets 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 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