Project Statistician

Description:

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Project Statistician- Real World and Access Analytics

Purpose:

The Project Statistician for Real-World and Access Analytics contributes to evidence generation based on real-world and/or clinical trial data sources to address key business/customer questions. The Project Statistician works in collaboration with Health Outcomes Research Scientists, physicians, and/or other colleagues to develop and execute study designs and analysis plans which result in evidence/information of scientific integrity and value to patients, prescribers, payers, and/or caregivers.

Key Responsibilities:

The job tasks listed below outline the scope of the position. The application of these tasks may vary, based upon current business needs.

Design and Analysis of prospective and retrospective observational studies

• Operate in collaboration with study personnel to provide input on study objectives, appropriate research methods, and study design to provide meaningful data and inference for key business questions. Write study protocol and analysis plans.
• Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created.
• Collaborate with data sciences in the planning and implementation of data quality assurance plans.
• Maintain currency with respect to statistical methodology, particularly in methods applicable to observational research, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.

Secondary analysis of clinical trials

• Operate in collaboration with cross-functional colleagues to discern ability to provide meaningful information for key business questions via secondary analysis of clinical trial data. Influence decisions on these projects and clearly articulate limitations of research methods.
• Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the statistical analysis plan, and conducting the actual analysis.
• Maintain currency with respect to statistical methodology, particularly in methods applicable to observational research, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.
• Author peer-reviewed manuscripts and other disclosures of analysis results.
• Participate in peer-review of work products from other statistical colleagues.