Sr. Computational Statistician - Eli Lilly and Company

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 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.

Responsibilities

Statistical Analysis:

• Collaborate with other statistical colleagues and study personnel to provide input to statistical analysis plans, write reports and communicate results, assist/respond to regulatory queries.
• Assist in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the analysis plan, and conducting the actual analysis once a reporting database is created.
• Collaborate with data management in the planning and implementation of data quality assurance plans.
• Maintain proficiency with respect to SAS programming and statistical methodology and in applying new and varied methods.
• Effectively justify methods selected and implement previously outlined analysis plans.
• Conduct peer-review of work products from statistical colleagues.
• Effectively use current technologies and available tools for conducting the clinical trial analysis.
• Responsible for assisting in the communication of study results via regulatory submissions, and manuscripts, as well as for communicating one-on-one with key customers.

• Understand relevant disease states in order to enhance the level of customer focus and collaboration.
• Ensure replication of tools and systems, where applicable and stay informed of technological advances.

• Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable corporate, medical, local, and departmental policies, procedures, processes, and training.

• Master’s degree in Statistics, Biostatistics or MSPH with concentration in Statistics or Biostatistics.

• Proficiency in statistical programming languages/software such as SAS, R, Spotfire, etc.
• Interpersonal/teamwork skills for effective interactions
• Technical growth and application with solid understanding of statistics and statistical software
• Self-management skills with a focus on results for prompt and accurate completion of competing deliverables
• Creativity and innovation
• Demonstrated problem solving ability and attention to detail.
• Data analysis, technology, and systems expertise

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