Katalyst CRO

RWE Data Scientist

Katalyst CRO, Chicago

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.

Lead analytics for the assigned therapeutic area (TA) to mitigate, resolve and triage analytical complexities.
Present results of analysis and contribute presentation of findings and key takeaways for various audiences.
Identify appropriate internal and external data resources and external expertise to execute strategies and research activities.
Execute analysis plans and provide consultation to design as needed.
Work with Medical engagement to understand key impact variables and use RWD to quantify and operationalize these variables.
Maintain accountability for meeting timelines in a complex matrix structure; develop and maintain effective cross‑functional working relationships to assure effective teamwork and oversee problem solving within the analytical team.
Interact 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.
Translate 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) preferred.
Minimum of 1‑2 years' experience in analytics programming (SAS, SQL, R, Python) required; applicants with Python and machine learning experience are preferred.
Ability to incorporate production code macros, execute programming assignments and solve issues independently, and 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.

Entry level

Contract

Information Technology

Pharmaceutical Manufacturing

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